Merge branch 'dev' into xyce

This commit is contained in:
mrg 2021-06-09 11:43:44 -07:00
commit c143be12d3
82 changed files with 1618 additions and 4355 deletions

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@ -1,8 +1,8 @@
TECH = scn4m_subm TECH = freepdk45
CUR_DIR = $(shell pwd) CUR_DIR = $(shell pwd)
TEST_DIR = ${CUR_DIR}/tests TEST_DIR = ${CUR_DIR}/tests
MAKEFLAGS += -j 1 #MAKEFLAGS += -j 1
# Library test # Library test
LIBRARY_TESTS = $(shell find ${TEST_DIR} -name 0[1-2]*_test.py) LIBRARY_TESTS = $(shell find ${TEST_DIR} -name 0[1-2]*_test.py)
@ -64,7 +64,35 @@ usage: ${USAGE_TESTS}
$(ALL_TESTS): $(ALL_TESTS):
python3 $@ -t ${TECH} python3 $@ -t ${TECH}
OPENRAM_TECHS = $(subst :, ,$(OPENRAM_TECH))
TECH_DIR := $(word 1, $(foreach dir,$(OPENRAM_TECHS),$(wildcard $(dir)/$(TECH))))
CONFIG_DIR = $(OPENRAM_HOME)/model_configs
MODEL_CONFIGS = $(wildcard $(CONFIG_DIR)/*.py)
SIM_DIR = $(OPENRAM_HOME)/model_data/$(TECH)
CSV_DIR = $(TECH_DIR)/sim_data
OPTS =
# Characterize and perform DRC/LVS
OPTS += -c
# Do not characterize or perform DRC/LVS
OPTS += -n
# Verbosity
#OPTS += -v
# Spice
OPTS += -s hspice
.PHONY: ${MODEL_CONFIGS}
.PHONY: model
model: $(MODEL_CONFIGS)
mkdir -p $(CSV_DIR)
python3 $(OPENRAM_HOME)/model_data_util.py $(SIM_DIR) $(CSV_DIR)
$(MODEL_CONFIGS):
$(eval bname=$(basename $(notdir $@)))
mkdir -p $(SIM_DIR)/$(bname)
-python3 $(OPENRAM_HOME)/openram.py $(OPTS) -p $(SIM_DIR)/$(bname) -o $(bname) -t $(TECH) $@ 2>&1 > /dev/null
clean: clean:
find . -name \*.pyc -exec rm {} \; find . -name \*.pyc -exec rm {} \;
find . -name \*~ -exec rm {} \; find . -name \*~ -exec rm {} \;

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@ -176,7 +176,7 @@ class cell_properties():
self.names["col_cap_bitcell_2port"] = "col_cap_cell_2rw" self.names["col_cap_bitcell_2port"] = "col_cap_cell_2rw"
self.names["row_cap_bitcell_1port"] = "row_cap_cell_1rw" self.names["row_cap_bitcell_1port"] = "row_cap_cell_1rw"
self.names["row_cap_bitcell_2port"] = "row_cap_cell_2rw" self.names["row_cap_bitcell_2port"] = "row_cap_cell_2rw"
self.use_strap = False
self._ptx = _ptx(model_is_subckt=False, self._ptx = _ptx(model_is_subckt=False,
bin_spice_models=False) bin_spice_models=False)

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@ -48,7 +48,8 @@ class design(hierarchy_design):
self.add_pin_indices(prop.port_indices) self.add_pin_indices(prop.port_indices)
self.add_pin_names(prop.port_map) self.add_pin_names(prop.port_map)
self.add_pin_types(prop.port_types) self.add_pin_types(prop.port_types)
(width, height) = utils.get_libcell_size(self.cell_name, (width, height) = utils.get_libcell_size(self.cell_name,
GDS["unit"], GDS["unit"],
layer[prop.boundary_layer]) layer[prop.boundary_layer])

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@ -41,7 +41,8 @@ class layout():
self.width = None self.width = None
self.height = None self.height = None
self.bounding_box = None self.bounding_box = None # The rectangle shape
self.bbox = None # The ll, ur coords
# Holds module/cell layout instances # Holds module/cell layout instances
self.insts = [] self.insts = []
# Set of names to check for duplicates # Set of names to check for duplicates
@ -1161,6 +1162,59 @@ class layout():
height=ur.y - ll.y, height=ur.y - ll.y,
width=ur.x - ll.x) width=ur.x - ll.x)
self.bbox = [self.bounding_box.ll(), self.bounding_box.ur()]
def get_bbox(self, side="all", big_margin=0, little_margin=0):
"""
Get the bounding box from the GDS
"""
gds_filename = OPTS.openram_temp + "temp.gds"
# If didn't specify a gds blockage file, write it out to read the gds
# This isn't efficient, but easy for now
# Load the gds file and read in all the shapes
self.gds_write(gds_filename)
layout = gdsMill.VlsiLayout(units=GDS["unit"])
reader = gdsMill.Gds2reader(layout)
reader.loadFromFile(gds_filename)
top_name = layout.rootStructureName
if not self.bbox:
# The boundary will determine the limits to the size
# of the routing grid
boundary = layout.measureBoundary(top_name)
# These must be un-indexed to get rid of the matrix type
ll = vector(boundary[0][0], boundary[0][1])
ur = vector(boundary[1][0], boundary[1][1])
else:
ll, ur = self.bbox
ll_offset = vector(0, 0)
ur_offset = vector(0, 0)
if side in ["ring", "top", "all"]:
ur_offset += vector(0, big_margin)
else:
ur_offset += vector(0, little_margin)
if side in ["ring", "bottom", "all"]:
ll_offset += vector(0, big_margin)
else:
ll_offset += vector(0, little_margin)
if side in ["ring", "left", "all"]:
ll_offset += vector(big_margin, 0)
else:
ll_offset += vector(little_margin, 0)
if side in ["ring", "right", "all"]:
ur_offset += vector(big_margin, 0)
else:
ur_offset += vector(little_margin, 0)
bbox = (ll - ll_offset, ur + ur_offset)
size = ur - ll
debug.info(1, "Size: {0} x {1} with perimeter big margin {2} little margin {3}".format(size.x,
size.y,
big_margin,
little_margin))
return bbox
def add_enclosure(self, insts, layer="nwell", extend=0, leftx=None, rightx=None, topy=None, boty=None): def add_enclosure(self, insts, layer="nwell", extend=0, leftx=None, rightx=None, topy=None, boty=None):
""" """
Add a layer that surrounds the given instances. Useful Add a layer that surrounds the given instances. Useful
@ -1203,22 +1257,24 @@ class layout():
height=ymax - ymin) height=ymax - ymin)
return rect return rect
def copy_power_pins(self, inst, name, add_vias=True): def copy_power_pins(self, inst, name, add_vias=True, new_name=""):
""" """
This will copy a power pin if it is on the lowest power_grid layer. This will copy a power pin if it is on the lowest power_grid layer.
If it is on M1, it will add a power via too. If it is on M1, it will add a power via too.
""" """
pins = inst.get_pins(name) pins = inst.get_pins(name)
for pin in pins: for pin in pins:
if new_name == "":
new_name = pin.name
if pin.layer == self.pwr_grid_layer: if pin.layer == self.pwr_grid_layer:
self.add_layout_pin(name, self.add_layout_pin(new_name,
pin.layer, pin.layer,
pin.ll(), pin.ll(),
pin.width(), pin.width(),
pin.height()) pin.height())
elif add_vias: elif add_vias:
self.copy_power_pin(pin) self.copy_power_pin(pin, new_name=new_name)
def add_io_pin(self, instance, pin_name, new_name, start_layer=None): def add_io_pin(self, instance, pin_name, new_name, start_layer=None):
""" """
@ -1264,13 +1320,15 @@ class layout():
width=width, width=width,
height=height) height=height)
def copy_power_pin(self, pin, loc=None, directions=None): def copy_power_pin(self, pin, loc=None, directions=None, new_name=""):
""" """
Add a single power pin from the lowest power_grid layer down to M1 (or li) at Add a single power pin from the lowest power_grid layer down to M1 (or li) at
the given center location. The starting layer is specified to determine the given center location. The starting layer is specified to determine
which vias are needed. which vias are needed.
""" """
if new_name == "":
new_name = pin.name
if not loc: if not loc:
loc = pin.center() loc = pin.center()
@ -1284,7 +1342,7 @@ class layout():
height = None height = None
if pin.layer == self.pwr_grid_layer: if pin.layer == self.pwr_grid_layer:
self.add_layout_pin_rect_center(text=pin.name, self.add_layout_pin_rect_center(text=new_name,
layer=self.pwr_grid_layer, layer=self.pwr_grid_layer,
offset=loc, offset=loc,
width=width, width=width,
@ -1299,7 +1357,7 @@ class layout():
width = via.width width = via.width
if not height: if not height:
height = via.height height = via.height
self.add_layout_pin_rect_center(text=pin.name, self.add_layout_pin_rect_center(text=new_name,
layer=self.pwr_grid_layer, layer=self.pwr_grid_layer,
offset=loc, offset=loc,
width=width, width=width,
@ -1341,7 +1399,182 @@ class layout():
layer=layer, layer=layer,
offset=peri_pin_loc) offset=peri_pin_loc)
def add_power_ring(self, bbox): def add_dnwell(self, bbox=None, inflate=1):
""" Create a dnwell, along with nwell moat at border. """
if "dnwell" not in techlayer:
return
if not bbox:
bbox = [self.find_lowest_coords(),
self.find_highest_coords()]
# Find the corners
[ll, ur] = bbox
# Possibly inflate the bbox
nwell_offset = vector(2 * self.nwell_width, 2 * self.nwell_width)
ll -= nwell_offset.scale(inflate, inflate)
ur += nwell_offset.scale(inflate, inflate)
# Other corners
ul = vector(ll.x, ur.y)
lr = vector(ur.x, ll.y)
# Add the dnwell
self.add_rect("dnwell",
offset=ll,
height=ur.y - ll.y,
width=ur.x - ll.x)
# Add the moat
self.add_path("nwell", [ll, lr, ur, ul, ll - vector(0, 0.5 * self.nwell_width)])
# Add the taps
layer_stack = self.active_stack
tap_spacing = 2
nwell_offset = vector(self.nwell_width, self.nwell_width)
# Every nth tap is connected to gnd
period = 5
# BOTTOM
count = 0
loc = ll + nwell_offset.scale(tap_spacing, 0)
end_loc = lr - nwell_offset.scale(tap_spacing, 0)
while loc.x < end_loc.x:
self.add_via_center(layers=layer_stack,
offset=loc,
implant_type="n",
well_type="n")
if count % period:
self.add_via_stack_center(from_layer="li",
to_layer="m1",
offset=loc)
else:
self.add_power_pin(name="vdd",
loc=loc,
start_layer="li")
count += 1
loc += nwell_offset.scale(tap_spacing, 0)
# TOP
count = 0
loc = ul + nwell_offset.scale(tap_spacing, 0)
end_loc = ur - nwell_offset.scale(tap_spacing, 0)
while loc.x < end_loc.x:
self.add_via_center(layers=layer_stack,
offset=loc,
implant_type="n",
well_type="n")
if count % period:
self.add_via_stack_center(from_layer="li",
to_layer="m1",
offset=loc)
else:
self.add_power_pin(name="vdd",
loc=loc,
start_layer="li")
count += 1
loc += nwell_offset.scale(tap_spacing, 0)
# LEFT
count = 0
loc = ll + nwell_offset.scale(0, tap_spacing)
end_loc = ul - nwell_offset.scale(0, tap_spacing)
while loc.y < end_loc.y:
self.add_via_center(layers=layer_stack,
offset=loc,
implant_type="n",
well_type="n")
if count % period:
self.add_via_stack_center(from_layer="li",
to_layer="m2",
offset=loc)
else:
self.add_power_pin(name="vdd",
loc=loc,
start_layer="li")
count += 1
loc += nwell_offset.scale(0, tap_spacing)
# RIGHT
count = 0
loc = lr + nwell_offset.scale(0, tap_spacing)
end_loc = ur - nwell_offset.scale(0, tap_spacing)
while loc.y < end_loc.y:
self.add_via_center(layers=layer_stack,
offset=loc,
implant_type="n",
well_type="n")
if count % period:
self.add_via_stack_center(from_layer="li",
to_layer="m2",
offset=loc)
else:
self.add_power_pin(name="vdd",
loc=loc,
start_layer="li")
count += 1
loc += nwell_offset.scale(0, tap_spacing)
# Add the gnd ring
self.add_ring([ll, ur])
def add_ring(self, bbox=None, width_mult=8, offset=0):
"""
Add a ring around the bbox
"""
# Ring size/space/pitch
wire_width = self.m2_width * width_mult
half_width = 0.5 * wire_width
wire_space = self.m2_space
wire_pitch = wire_width + wire_space
# Find the corners
if not bbox:
bbox = [self.find_lowest_coords(),
self.find_highest_coords()]
[ll, ur] = bbox
ul = vector(ll.x, ur.y)
lr = vector(ur.x, ll.y)
ll += vector(-offset * wire_pitch,
-offset * wire_pitch)
lr += vector(offset * wire_pitch,
-offset * wire_pitch)
ur += vector(offset * wire_pitch,
offset * wire_pitch)
ul += vector(-offset * wire_pitch,
offset * wire_pitch)
half_offset = vector(half_width, half_width)
self.add_path("m1", [ll - half_offset.scale(1, 0), lr + half_offset.scale(1, 0)], width=wire_width)
self.add_path("m1", [ul - half_offset.scale(1, 0), ur + half_offset.scale(1, 0)], width=wire_width)
self.add_path("m2", [ll - half_offset.scale(0, 1), ul + half_offset.scale(0, 1)], width=wire_width)
self.add_path("m2", [lr - half_offset.scale(0, 1), ur + half_offset.scale(0, 1)], width=wire_width)
# Find the number of vias for this pitch
supply_vias = 1
from sram_factory import factory
while True:
c = factory.create(module_type="contact",
layer_stack=self.m1_stack,
dimensions=(supply_vias, supply_vias))
if c.second_layer_width < wire_width and c.second_layer_height < wire_width:
supply_vias += 1
else:
supply_vias -= 1
break
via_points = [ll, lr, ur, ul]
for pt in via_points:
self.add_via_center(layers=self.m1_stack,
offset=pt,
size=(supply_vias,
supply_vias))
def add_power_ring(self):
""" """
Create vdd and gnd power rings around an area of the bounding box Create vdd and gnd power rings around an area of the bounding box
argument. Must have a supply_rail_width and supply_rail_pitch argument. Must have a supply_rail_width and supply_rail_pitch
@ -1350,7 +1583,7 @@ class layout():
modules.. modules..
""" """
[ll, ur] = bbox [ll, ur] = self.bbox
supply_rail_spacing = self.supply_rail_pitch - self.supply_rail_width supply_rail_spacing = self.supply_rail_pitch - self.supply_rail_width
height = (ur.y - ll.y) + 3 * self.supply_rail_pitch - supply_rail_spacing height = (ur.y - ll.y) + 3 * self.supply_rail_pitch - supply_rail_spacing

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@ -110,24 +110,27 @@ class lef:
# For each pin, remove the blockage and add the pin # For each pin, remove the blockage and add the pin
for pin_name in self.pins: for pin_name in self.pins:
pin = self.get_pin(pin_name) pins = self.get_pins(pin_name)
inflated_pin = pin.inflated_pin(multiple=1) for pin in pins:
another_iteration_needed = True inflated_pin = pin.inflated_pin(multiple=2)
while another_iteration_needed: continue_fragmenting = True
another_iteration_needed = False while continue_fragmenting:
old_blockages = list(self.blockages[pin.layer]) continue_fragmenting = False
for blockage in old_blockages: old_blockages = list(self.blockages[pin.layer])
if blockage.overlaps(inflated_pin): for blockage in old_blockages:
intersection_shape = blockage.intersection(inflated_pin) if blockage.overlaps(inflated_pin):
# If it is zero area, don't add the pin intersection_shape = blockage.intersection(inflated_pin)
if intersection_shape[0][0]==intersection_shape[1][0] or intersection_shape[0][1]==intersection_shape[1][1]: # If it is zero area, don't split the blockage
continue if intersection_shape[0][0]==intersection_shape[1][0] or intersection_shape[0][1]==intersection_shape[1][1]:
another_iteration_needed = True continue
# Remove the old blockage and add the new ones
self.blockages[pin.layer].remove(blockage) # Remove the old blockage and add the new ones
intersection_pin = pin_layout("", intersection_shape, inflated_pin.layer) self.blockages[pin.layer].remove(blockage)
new_blockages = blockage.cut(intersection_pin) intersection_pin = pin_layout("", intersection_shape, inflated_pin.layer)
self.blockages[pin.layer].extend(new_blockages) new_blockages = blockage.cut(intersection_pin)
self.blockages[pin.layer].extend(new_blockages)
# We split something so make another pass
continue_fragmenting = True
def lef_write_header(self): def lef_write_header(self):
""" Header of LEF file """ """ Header of LEF file """

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@ -606,7 +606,9 @@ class pin_layout:
# Don't add the existing shape in if it overlaps the pin shape # Don't add the existing shape in if it overlaps the pin shape
if new_shape.contains(shape): if new_shape.contains(shape):
continue continue
new_shapes.append(new_shape) # Only add non-zero shapes
if new_shape.area() > 0:
new_shapes.append(new_shape)
return new_shapes return new_shapes

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@ -148,12 +148,15 @@ def get_gds_pins(pin_names, name, gds_filename, units):
cell[str(pin_name)] = [] cell[str(pin_name)] = []
pin_list = cell_vlsi.getPinShape(str(pin_name)) pin_list = cell_vlsi.getPinShape(str(pin_name))
for pin_shape in pin_list: for pin_shape in pin_list:
(lpp, boundary) = pin_shape if pin_shape != None:
rect = [vector(boundary[0], boundary[1]), (lpp, boundary) = pin_shape
vector(boundary[2], boundary[3])] rect = [vector(boundary[0], boundary[1]),
# this is a list because other cells/designs vector(boundary[2], boundary[3])]
# may have must-connect pins # this is a list because other cells/designs
cell[str(pin_name)].append(pin_layout(pin_name, rect, lpp)) # may have must-connect pins
if isinstance(lpp[1], list):
lpp = (lpp[0], None)
cell[str(pin_name)].append(pin_layout(pin_name, rect, lpp))
_GDS_PINS_CACHE[k] = cell _GDS_PINS_CACHE[k] = cell
return dict(cell) return dict(cell)

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@ -6,6 +6,7 @@
# All rights reserved. # All rights reserved.
# #
import math import math
from tech import spice
class verilog: class verilog:
@ -28,10 +29,19 @@ class verilog:
else: else:
self.vf.write("\n") self.vf.write("\n")
try:
self.vdd_name = spice["power"]
except KeyError:
self.vdd_name = "vdd"
try:
self.gnd_name = spice["ground"]
except KeyError:
self.gnd_name = "gnd"
self.vf.write("module {0}(\n".format(self.name)) self.vf.write("module {0}(\n".format(self.name))
self.vf.write("`ifdef USE_POWER_PINS\n") self.vf.write("`ifdef USE_POWER_PINS\n")
self.vf.write(" vdd,\n") self.vf.write(" {},\n".format(self.vdd_name))
self.vf.write(" gnd,\n") self.vf.write(" {},\n".format(self.gnd_name))
self.vf.write("`endif\n") self.vf.write("`endif\n")
for port in self.all_ports: for port in self.all_ports:
@ -71,8 +81,8 @@ class verilog:
self.vf.write("\n") self.vf.write("\n")
self.vf.write("`ifdef USE_POWER_PINS\n") self.vf.write("`ifdef USE_POWER_PINS\n")
self.vf.write(" inout vdd;\n") self.vf.write(" inout {};\n".format(self.vdd_name))
self.vf.write(" inout gnd;\n") self.vf.write(" inout {};\n".format(self.gnd_name))
self.vf.write("`endif\n") self.vf.write("`endif\n")
for port in self.all_ports: for port in self.all_ports:

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@ -24,7 +24,7 @@ debug.info(1, "Initializing characterizer...")
OPTS.spice_exe = "" OPTS.spice_exe = ""
if not OPTS.analytical_delay: if not OPTS.analytical_delay:
if OPTS.spice_name != "": if OPTS.spice_name:
# Capitalize Xyce # Capitalize Xyce
if OPTS.spice_name == "xyce": if OPTS.spice_name == "xyce":
OPTS.spice_name = "Xyce" OPTS.spice_name = "Xyce"
@ -32,7 +32,7 @@ if not OPTS.analytical_delay:
if OPTS.spice_exe=="" or OPTS.spice_exe==None: if OPTS.spice_exe=="" or OPTS.spice_exe==None:
debug.error("{0} not found. Unable to perform characterization.".format(OPTS.spice_name), 1) debug.error("{0} not found. Unable to perform characterization.".format(OPTS.spice_name), 1)
else: else:
(OPTS.spice_name, OPTS.spice_exe) = get_tool("spice", ["ngspice", "ngspice.exe", "hspice", "xa", "Xyce"]) (OPTS.spice_name, OPTS.spice_exe) = get_tool("spice", ["Xyce", "ngspice", "ngspice.exe", "hspice", "xa"])
if OPTS.spice_name in ["Xyce", "xyce"]: if OPTS.spice_name in ["Xyce", "xyce"]:
(OPTS.mpi_name, OPTS.mpi_exe) = get_tool("mpi", ["mpirun"]) (OPTS.mpi_name, OPTS.mpi_exe) = get_tool("mpi", ["mpirun"])
@ -45,7 +45,7 @@ if not OPTS.analytical_delay:
if OPTS.spice_name == "ngspice": if OPTS.spice_name == "ngspice":
os.environ["NGSPICE_INPUT_DIR"] = "{0}".format(OPTS.openram_temp) os.environ["NGSPICE_INPUT_DIR"] = "{0}".format(OPTS.openram_temp)
if OPTS.spice_exe == "": if not OPTS.spice_exe:
debug.error("No recognizable spice version found. Unable to perform characterization.", 1) debug.error("No recognizable spice version found. Unable to perform characterization.", 1)
else: else:
debug.info(1, "Finding spice simulator: {} ({})".format(OPTS.spice_name, OPTS.spice_exe)) debug.info(1, "Finding spice simulator: {} ({})".format(OPTS.spice_name, OPTS.spice_exe))

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@ -14,7 +14,7 @@ import os
process_transform = {'SS':0.0, 'TT': 0.5, 'FF':1.0} process_transform = {'SS':0.0, 'TT': 0.5, 'FF':1.0}
def get_data_names(file_name): def get_data_names(file_name, exclude_area=True):
""" """
Returns just the data names in the first row of the CSV Returns just the data names in the first row of the CSV
""" """
@ -25,8 +25,18 @@ def get_data_names(file_name):
# reader is iterable not a list, probably a better way to do this # reader is iterable not a list, probably a better way to do this
for row in csv_reader: for row in csv_reader:
# Return names from first row # Return names from first row
return row[0].split(',') names = row[0].split(',')
break
if exclude_area:
try:
area_ind = names.index('area')
except ValueError:
area_ind = -1
if area_ind != -1:
names = names[:area_ind] + names[area_ind+1:]
return names
def get_data(file_name): def get_data(file_name):
""" """
Returns data in CSV as lists of features Returns data in CSV as lists of features
@ -35,24 +45,33 @@ def get_data(file_name):
with open(file_name, newline='') as csvfile: with open(file_name, newline='') as csvfile:
csv_reader = csv.reader(csvfile, delimiter=' ', quotechar='|') csv_reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
row_iter = 0 row_iter = 0
removed_items = 1
for row in csv_reader: for row in csv_reader:
row_iter += 1 row_iter += 1
if row_iter == 1: if row_iter == 1:
feature_names = row[0].split(',') feature_names = row[0].split(',')
input_list = [[] for _ in feature_names] input_list = [[] for _ in range(len(feature_names)-removed_items)]
scaled_list = [[] for _ in feature_names] try:
# Save to remove area
area_ind = feature_names.index('area')
except ValueError:
area_ind = -1
try: try:
process_ind = feature_names.index('process') process_ind = feature_names.index('process')
except: except:
debug.error('Process not included as a feature.') debug.error('Process not included as a feature.')
continue continue
data = [] data = []
split_str = row[0].split(',') split_str = row[0].split(',')
for i in range(len(split_str)): for i in range(len(split_str)):
if i == process_ind: if i == process_ind:
data.append(process_transform[split_str[i]]) data.append(process_transform[split_str[i]])
elif i == area_ind:
continue
else: else:
data.append(float(split_str[i])) data.append(float(split_str[i]))
@ -227,9 +246,8 @@ def get_scaled_data(file_name):
# Data is scaled by max/min and data format is changed to points vs feature lists # Data is scaled by max/min and data format is changed to points vs feature lists
self_scaled_data = scale_data_and_transform(all_data) self_scaled_data = scale_data_and_transform(all_data)
samples = np.asarray(self_scaled_data) data_np = np.asarray(self_scaled_data)
features, labels = samples[:, :-1], samples[:,-1:] return data_np
return features, labels
def scale_data_and_transform(data): def scale_data_and_transform(data):
""" """
@ -275,16 +293,13 @@ def unscale_data(data, file_path, pos=None):
# Hard coded to only convert the last max/min (i.e. the label of the data) # Hard coded to only convert the last max/min (i.e. the label of the data)
if pos == None: if pos == None:
maxs,mins,avgs = [maxs[-1]],[mins[-1]],[avgs[-1]] maxs,mins,avgs = maxs[-1],mins[-1],avgs[-1]
else: else:
maxs,mins,avgs = [maxs[pos]],[mins[pos]],[avgs[pos]] maxs,mins,avgs = maxs[pos],mins[pos],avgs[pos]
unscaled_data = [] unscaled_data = []
for data_row in data: for data_row in data:
unscaled_row = [] unscaled_val = data_row*(maxs-mins) + mins
for val, cur_max, cur_min in zip(data_row, maxs, mins): unscaled_data.append(unscaled_val)
unscaled_val = val*(cur_max-cur_min) + cur_min
unscaled_row.append(unscaled_val)
unscaled_data.append(unscaled_row)
return unscaled_data return unscaled_data

View File

@ -828,7 +828,7 @@ class delay(simulation):
result[port].update(read_port_dict) result[port].update(read_port_dict)
self.check_path_measures() self.path_delays = self.check_path_measures()
return (True, result) return (True, result)
@ -942,7 +942,7 @@ class delay(simulation):
if type(val) != float or val > self.period / 2: if type(val) != float or val > self.period / 2:
debug.info(1, 'Failed measurement:{}={}'.format(meas.name, val)) debug.info(1, 'Failed measurement:{}={}'.format(meas.name, val))
value_dict[meas.name] = val value_dict[meas.name] = val
#debug.info(0, "value_dict={}".format(value_dict))
return value_dict return value_dict
def run_power_simulation(self): def run_power_simulation(self):
@ -1135,7 +1135,7 @@ class delay(simulation):
self.create_measurement_names() self.create_measurement_names()
self.create_measurement_objects() self.create_measurement_objects()
def analyze(self, probe_address, probe_data, slews, loads): def analyze(self, probe_address, probe_data, load_slews):
""" """
Main function to characterize an SRAM for a table. Computes both delay and power characterization. Main function to characterize an SRAM for a table. Computes both delay and power characterization.
""" """
@ -1143,7 +1143,11 @@ class delay(simulation):
# Dict to hold all characterization values # Dict to hold all characterization values
char_sram_data = {} char_sram_data = {}
self.analysis_init(probe_address, probe_data) self.analysis_init(probe_address, probe_data)
loads = []
slews = []
for load,slew in load_slews:
loads.append(load)
slews.append(slew)
self.load=max(loads) self.load=max(loads)
self.slew=max(slews) self.slew=max(slews)
@ -1163,11 +1167,19 @@ class delay(simulation):
leakage_offset = full_array_leakage - trim_array_leakage leakage_offset = full_array_leakage - trim_array_leakage
# 4) At the minimum period, measure the delay, slew and power for all slew/load pairs. # 4) At the minimum period, measure the delay, slew and power for all slew/load pairs.
self.period = min_period self.period = min_period
char_port_data = self.simulate_loads_and_slews(slews, loads, leakage_offset) char_port_data = self.simulate_loads_and_slews(load_slews, leakage_offset)
if OPTS.use_specified_load_slew != None and len(load_slews) > 1:
debug.warning("Path delay lists not correctly generated for characterizations of more than 1 load,slew")
# Get and save the path delays
bl_names, bl_delays, sen_names, sen_delays = self.get_delay_lists(self.path_delays)
# Removed from characterization output temporarily
#char_sram_data["bl_path_measures"] = bl_delays
#char_sram_data["sen_path_measures"] = sen_delays
#char_sram_data["bl_path_names"] = bl_names
#char_sram_data["sen_path_names"] = sen_names
# FIXME: low-to-high delays are altered to be independent of the period. This makes the lib results less accurate. # FIXME: low-to-high delays are altered to be independent of the period. This makes the lib results less accurate.
self.alter_lh_char_data(char_port_data) self.alter_lh_char_data(char_port_data)
return (char_sram_data, char_port_data) return (char_sram_data, char_port_data)
def alter_lh_char_data(self, char_port_data): def alter_lh_char_data(self, char_port_data):
@ -1178,31 +1190,47 @@ class delay(simulation):
char_port_data[port]['delay_lh'] = char_port_data[port]['delay_hl'] char_port_data[port]['delay_lh'] = char_port_data[port]['delay_hl']
char_port_data[port]['slew_lh'] = char_port_data[port]['slew_hl'] char_port_data[port]['slew_lh'] = char_port_data[port]['slew_hl']
def simulate_loads_and_slews(self, slews, loads, leakage_offset): def simulate_loads_and_slews(self, load_slews, leakage_offset):
"""Simulate all specified output loads and input slews pairs of all ports""" """Simulate all specified output loads and input slews pairs of all ports"""
measure_data = self.get_empty_measure_data_dict() measure_data = self.get_empty_measure_data_dict()
path_dict = {}
# Set the target simulation ports to all available ports. This make sims slower but failed sims exit anyways. # Set the target simulation ports to all available ports. This make sims slower but failed sims exit anyways.
self.targ_read_ports = self.read_ports self.targ_read_ports = self.read_ports
self.targ_write_ports = self.write_ports self.targ_write_ports = self.write_ports
for slew in slews: for load, slew in load_slews:
for load in loads: self.set_load_slew(load, slew)
self.set_load_slew(load, slew) # Find the delay, dynamic power, and leakage power of the trimmed array.
# Find the delay, dynamic power, and leakage power of the trimmed array. (success, delay_results) = self.run_delay_simulation()
(success, delay_results) = self.run_delay_simulation() debug.check(success, "Couldn't run a simulation. slew={0} load={1}\n".format(self.slew, self.load))
debug.check(success, "Couldn't run a simulation. slew={0} load={1}\n".format(self.slew, self.load)) debug.info(1, "Simulation Passed: Port {0} slew={1} load={2}".format("All", self.slew, self.load))
debug.info(1, "Simulation Passed: Port {0} slew={1} load={2}".format("All", self.slew, self.load)) # The results has a dict for every port but dicts can be empty (e.g. ports were not targeted).
# The results has a dict for every port but dicts can be empty (e.g. ports were not targeted). for port in self.all_ports:
for port in self.all_ports: for mname, value in delay_results[port].items():
for mname, value in delay_results[port].items(): if "power" in mname:
if "power" in mname: # Subtract partial array leakage and add full array leakage for the power measures
# Subtract partial array leakage and add full array leakage for the power measures debug.info(1, "Adding leakage offset to {0} {1} + {2} = {3}".format(mname, value, leakage_offset, value + leakage_offset))
debug.info(1, "Adding leakage offset to {0} {1} + {2} = {3}".format(mname, value, leakage_offset, value + leakage_offset)) measure_data[port][mname].append(value + leakage_offset)
measure_data[port][mname].append(value + leakage_offset) else:
else: measure_data[port][mname].append(value)
measure_data[port][mname].append(value)
return measure_data return measure_data
def get_delay_lists(self, value_dict):
"""Returns dicts for path measures of bitline and sen paths"""
sen_name_list = []
sen_delay_list = []
for meas in self.sen_path_meas:
sen_name_list.append(meas.name)
sen_delay_list.append(value_dict[meas.name])
bl_name_list = []
bl_delay_list = []
for meas in self.bl_path_meas:
bl_name_list.append(meas.name)
bl_delay_list.append(value_dict[meas.name])
return sen_name_list, sen_delay_list, bl_name_list, bl_delay_list
def calculate_inverse_address(self): def calculate_inverse_address(self):
"""Determine dummy test address based on probe address and column mux size.""" """Determine dummy test address based on probe address and column mux size."""

View File

@ -30,7 +30,7 @@ class elmore(simulation):
self.create_signal_names() self.create_signal_names()
self.add_graph_exclusions() self.add_graph_exclusions()
def get_lib_values(self, slews, loads): def get_lib_values(self, load_slews):
""" """
Return the analytical model results for the SRAM. Return the analytical model results for the SRAM.
""" """
@ -53,31 +53,29 @@ class elmore(simulation):
# Set delay/power for slews and loads # Set delay/power for slews and loads
port_data = self.get_empty_measure_data_dict() port_data = self.get_empty_measure_data_dict()
power = self.analytical_power(slews, loads) power = self.analytical_power(load_slews)
debug.info(1, 'Slew, Load, Delay(ns), Slew(ns)') debug.info(1, 'Slew, Load, Delay(ns), Slew(ns)')
max_delay = 0.0 max_delay = 0.0
for slew in slews: for load,slew in load_slews:
for load in loads: # Calculate delay based on slew and load
# Calculate delay based on slew and load path_delays = self.graph.get_timing(bl_path, self.corner, slew, load)
path_delays = self.graph.get_timing(bl_path, self.corner, slew, load)
total_delay = self.sum_delays(path_delays) total_delay = self.sum_delays(path_delays)
max_delay = max(max_delay, total_delay.delay) max_delay = max(max_delay, total_delay.delay)
debug.info(1, debug.info(1,
'{}, {}, {}, {}'.format(slew, '{}, {}, {}, {}'.format(slew,
load, load,
total_delay.delay / 1e3, total_delay.delay / 1e3,
total_delay.slew / 1e3)) total_delay.slew / 1e3))
# Delay is only calculated on a single port and replicated for now.
# Delay is only calculated on a single port and replicated for now. for port in self.all_ports:
for port in self.all_ports: for mname in self.delay_meas_names + self.power_meas_names:
for mname in self.delay_meas_names + self.power_meas_names: if "power" in mname:
if "power" in mname: port_data[port][mname].append(power.dynamic)
port_data[port][mname].append(power.dynamic) elif "delay" in mname and port in self.read_ports:
elif "delay" in mname and port in self.read_ports: port_data[port][mname].append(total_delay.delay / 1e3)
port_data[port][mname].append(total_delay.delay / 1e3) elif "slew" in mname and port in self.read_ports:
elif "slew" in mname and port in self.read_ports: port_data[port][mname].append(total_delay.slew / 1e3)
port_data[port][mname].append(total_delay.slew / 1e3)
# Margin for error in period. Calculated by averaging required margin for a small and large # Margin for error in period. Calculated by averaging required margin for a small and large
# memory. FIXME: margin is quite large, should be looked into. # memory. FIXME: margin is quite large, should be looked into.
@ -90,11 +88,11 @@ class elmore(simulation):
return (sram_data, port_data) return (sram_data, port_data)
def analytical_power(self, slews, loads): def analytical_power(self, load_slews):
"""Get the dynamic and leakage power from the SRAM""" """Get the dynamic and leakage power from the SRAM"""
# slews unused, only last load is used # slews unused, only last load is used
load = loads[-1] load = load_slews[-1][0]
power = self.sram.analytical_power(self.corner, load) power = self.sram.analytical_power(self.corner, load)
# convert from nW to mW # convert from nW to mW
power.dynamic /= 1e6 power.dynamic /= 1e6

View File

@ -5,7 +5,8 @@
# (acting for and on behalf of Oklahoma State University) # (acting for and on behalf of Oklahoma State University)
# All rights reserved. # All rights reserved.
# #
import os import os,sys,re
import time
import debug import debug
import datetime import datetime
from .setup_hold import * from .setup_hold import *
@ -14,6 +15,7 @@ from .charutils import *
import tech import tech
import numpy as np import numpy as np
from globals import OPTS from globals import OPTS
from tech import spice
class lib: class lib:
@ -21,10 +23,20 @@ class lib:
def __init__(self, out_dir, sram, sp_file, use_model=OPTS.analytical_delay): def __init__(self, out_dir, sram, sp_file, use_model=OPTS.analytical_delay):
try:
self.vdd_name = spice["power"]
except KeyError:
self.vdd_name = "vdd"
try:
self.gnd_name = spice["ground"]
except KeyError:
self.gnd_name = "gnd"
self.out_dir = out_dir self.out_dir = out_dir
self.sram = sram self.sram = sram
self.sp_file = sp_file self.sp_file = sp_file
self.use_model = use_model self.use_model = use_model
self.pred_time = None
self.set_port_indices() self.set_port_indices()
self.prepare_tables() self.prepare_tables()
@ -44,16 +56,32 @@ class lib:
def prepare_tables(self): def prepare_tables(self):
""" Determine the load/slews if they aren't specified in the config file. """ """ Determine the load/slews if they aren't specified in the config file. """
# These are the parameters to determine the table sizes # These are the parameters to determine the table sizes
self.load_scales = np.array(OPTS.load_scales) if OPTS.use_specified_load_slew == None:
self.load = tech.spice["dff_in_cap"] self.load_scales = np.array(OPTS.load_scales)
self.loads = self.load_scales * self.load self.load = tech.spice["dff_in_cap"]
self.loads = self.load_scales * self.load
self.slew_scales = np.array(OPTS.slew_scales)
self.slew = tech.spice["rise_time"]
self.slews = self.slew_scales * self.slew
self.load_slews = []
for slew in self.slews:
for load in self.loads:
self.load_slews.append((load, slew))
else:
debug.warning("Using the option \"use_specified_load_slew\" will make load slew,data in lib file inaccurate.")
self.load_slews = OPTS.use_specified_load_slew
self.loads = []
self.slews = []
for load,slew in self.load_slews:
self.loads.append(load)
self.slews.append(slew)
self.loads = np.array(self.loads)
self.slews = np.array(self.slews)
debug.info(1, "Slews: {0}".format(self.slews))
debug.info(1, "Loads: {0}".format(self.loads)) debug.info(1, "Loads: {0}".format(self.loads))
debug.info(1, "self.load_slews : {0}".format(self.load_slews))
self.slew_scales = np.array(OPTS.slew_scales)
self.slew = tech.spice["rise_time"]
self.slews = self.slew_scales * self.slew
debug.info(1, "Slews: {0}".format(self.slews))
def create_corners(self): def create_corners(self):
""" Create corners for characterization. """ """ Create corners for characterization. """
# Get the corners from the options file # Get the corners from the options file
@ -124,7 +152,9 @@ class lib:
def characterize_corners(self): def characterize_corners(self):
""" Characterize the list of corners. """ """ Characterize the list of corners. """
debug.info(1,"Characterizing corners: " + str(self.corners)) debug.info(1,"Characterizing corners: " + str(self.corners))
is_first_corner = True
for (self.corner,lib_name) in zip(self.corners,self.lib_files): for (self.corner,lib_name) in zip(self.corners,self.lib_files):
run_start = time.time()
debug.info(1,"Corner: " + str(self.corner)) debug.info(1,"Corner: " + str(self.corner))
(self.process, self.voltage, self.temperature) = self.corner (self.process, self.voltage, self.temperature) = self.corner
self.lib = open(lib_name, "w") self.lib = open(lib_name, "w")
@ -132,7 +162,12 @@ class lib:
self.corner_name = lib_name.replace(self.out_dir,"").replace(".lib","") self.corner_name = lib_name.replace(self.out_dir,"").replace(".lib","")
self.characterize() self.characterize()
self.lib.close() self.lib.close()
self.parse_info(self.corner,lib_name) if self.pred_time == None:
total_time = time.time()-run_start
else:
total_time = self.pred_time
self.parse_info(self.corner,lib_name, is_first_corner, total_time)
is_first_corner = False
def characterize(self): def characterize(self):
""" Characterize the current corner. """ """ Characterize the current corner. """
@ -249,8 +284,8 @@ class lib:
self.lib.write(" default_max_fanout : 4.0 ;\n") self.lib.write(" default_max_fanout : 4.0 ;\n")
self.lib.write(" default_connection_class : universal ;\n\n") self.lib.write(" default_connection_class : universal ;\n\n")
self.lib.write(" voltage_map ( VDD, {} );\n".format(self.voltage)) self.lib.write(" voltage_map ( {0}, {1} );\n".format(self.vdd_name.upper(), self.voltage))
self.lib.write(" voltage_map ( GND, 0 );\n\n") self.lib.write(" voltage_map ( {0}, 0 );\n\n".format(self.gnd_name.upper()))
def create_list(self,values): def create_list(self,values):
""" Helper function to create quoted, line wrapped list """ """ Helper function to create quoted, line wrapped list """
@ -582,12 +617,12 @@ class lib:
self.lib.write(" }\n") self.lib.write(" }\n")
def write_pg_pin(self): def write_pg_pin(self):
self.lib.write(" pg_pin(vdd) {\n") self.lib.write(" pg_pin({0}) ".format(self.vdd_name) + "{\n")
self.lib.write(" voltage_name : VDD;\n") self.lib.write(" voltage_name : {};\n".format(self.vdd_name.upper()))
self.lib.write(" pg_type : primary_power;\n") self.lib.write(" pg_type : primary_power;\n")
self.lib.write(" }\n\n") self.lib.write(" }\n\n")
self.lib.write(" pg_pin(gnd) {\n") self.lib.write(" pg_pin({0}) ".format(self.gnd_name) + "{\n")
self.lib.write(" voltage_name : GND;\n") self.lib.write(" voltage_name : {};\n".format(self.gnd_name.upper()))
self.lib.write(" pg_type : primary_ground;\n") self.lib.write(" pg_type : primary_ground;\n")
self.lib.write(" }\n\n") self.lib.write(" }\n\n")
@ -603,7 +638,7 @@ class lib:
debug.error("{} model not recognized. See options.py for available models.".format(OPTS.model_name)) debug.error("{} model not recognized. See options.py for available models.".format(OPTS.model_name))
m = model(self.sram, self.sp_file, self.corner) m = model(self.sram, self.sp_file, self.corner)
char_results = m.get_lib_values(self.slews,self.loads) char_results = m.get_lib_values(self.load_slews)
else: else:
self.d = delay(self.sram, self.sp_file, self.corner) self.d = delay(self.sram, self.sp_file, self.corner)
@ -612,27 +647,44 @@ class lib:
else: else:
probe_address = "0" + "1" * (self.sram.addr_size - 1) probe_address = "0" + "1" * (self.sram.addr_size - 1)
probe_data = self.sram.word_size - 1 probe_data = self.sram.word_size - 1
char_results = self.d.analyze(probe_address, probe_data, self.slews, self.loads) char_results = self.d.analyze(probe_address, probe_data, self.load_slews)
self.char_sram_results, self.char_port_results = char_results self.char_sram_results, self.char_port_results = char_results
if 'sim_time' in self.char_sram_results:
self.pred_time = self.char_sram_results['sim_time']
# Add to the OPTS to be written out as part of the extended OPTS file
# FIXME: Temporarily removed from characterization output
# if not self.use_model:
# OPTS.sen_path_delays = self.char_sram_results["sen_path_measures"]
# OPTS.sen_path_names = self.char_sram_results["sen_path_names"]
# OPTS.bl_path_delays = self.char_sram_results["bl_path_measures"]
# OPTS.bl_path_names = self.char_sram_results["bl_path_names"]
def compute_setup_hold(self): def compute_setup_hold(self):
""" Do the analysis if we haven't characterized a FF yet """ """ Do the analysis if we haven't characterized a FF yet """
# Do the analysis if we haven't characterized a FF yet # Do the analysis if we haven't characterized a FF yet
if not hasattr(self,"sh"): if not hasattr(self,"sh"):
self.sh = setup_hold(self.corner) self.sh = setup_hold(self.corner)
if self.use_model: if self.use_model:
self.times = self.sh.analytical_setuphold(self.slews,self.loads) self.times = self.sh.analytical_setuphold(self.slews,self.slews)
else: else:
self.times = self.sh.analyze(self.slews,self.slews) self.times = self.sh.analyze(self.slews,self.slews)
def parse_info(self,corner,lib_name): def parse_info(self,corner,lib_name, is_first_corner, time):
""" Copies important characterization data to datasheet.info to be added to datasheet """ """ Copies important characterization data to datasheet.info to be added to datasheet """
if OPTS.output_datasheet_info: if OPTS.output_datasheet_info:
datasheet_path = OPTS.output_path datasheet_path = OPTS.output_path
else: else:
datasheet_path = OPTS.openram_temp datasheet_path = OPTS.openram_temp
datasheet = open(datasheet_path +'/datasheet.info', 'a+') # Open for write and truncate to not conflict with a previous run using the same name
if is_first_corner:
datasheet = open(datasheet_path +'/datasheet.info', 'w')
else:
datasheet = open(datasheet_path +'/datasheet.info', 'a+')
self.write_inp_params_datasheet(datasheet, corner, lib_name) self.write_inp_params_datasheet(datasheet, corner, lib_name)
self.write_signal_from_ports(datasheet, self.write_signal_from_ports(datasheet,
@ -694,7 +746,7 @@ class lib:
self.write_power_datasheet(datasheet) self.write_power_datasheet(datasheet)
self.write_model_params(datasheet) self.write_model_params(datasheet, time)
datasheet.write("END\n") datasheet.write("END\n")
datasheet.close() datasheet.close()
@ -807,8 +859,9 @@ class lib:
datasheet.write("{0},{1},{2},".format('leak', control_str, self.char_sram_results["leakage_power"])) datasheet.write("{0},{1},{2},".format('leak', control_str, self.char_sram_results["leakage_power"]))
def write_model_params(self, datasheet): def write_model_params(self, datasheet, time):
"""Write values which will be used in the analytical model as inputs""" """Write values which will be used in the analytical model as inputs"""
datasheet.write("{0},{1},".format('sim_time', time))
datasheet.write("{0},{1},".format('words_per_row', OPTS.words_per_row)) datasheet.write("{0},{1},".format('words_per_row', OPTS.words_per_row))
datasheet.write("{0},{1},".format('slews', list(self.slews))) datasheet.write("{0},{1},".format('slews', list(self.slews)))
datasheet.write("{0},{1},".format('loads', list(self.loads))) datasheet.write("{0},{1},".format('loads', list(self.loads)))
@ -824,13 +877,15 @@ class lib:
write0_power = np.mean(self.char_port_results[port]["write0_power"]) write0_power = np.mean(self.char_port_results[port]["write0_power"])
datasheet.write("{0},{1},".format('write_rise_power_{}'.format(port), write1_power)) datasheet.write("{0},{1},".format('write_rise_power_{}'.format(port), write1_power))
#FIXME: should be write_fall_power #FIXME: should be write_fall_power
datasheet.write("{0},{1},".format('read_fall_power_{}'.format(port), write0_power)) datasheet.write("{0},{1},".format('write_fall_power_{}'.format(port), write0_power))
for port in self.read_ports: for port in self.read_ports:
read1_power = np.mean(self.char_port_results[port]["read1_power"]) read1_power = np.mean(self.char_port_results[port]["read1_power"])
read0_power = np.mean(self.char_port_results[port]["read0_power"]) read0_power = np.mean(self.char_port_results[port]["read0_power"])
datasheet.write("{0},{1},".format('read_rise_power_{}'.format(port), read1_power)) datasheet.write("{0},{1},".format('read_rise_power_{}'.format(port), read1_power))
#FIXME: should be read_fall_power #FIXME: should be read_fall_power
datasheet.write("{0},{1},".format('write_fall_power_{}'.format(port), read0_power)) datasheet.write("{0},{1},".format('read_fall_power_{}'.format(port), read0_power))

View File

@ -7,6 +7,7 @@
# #
from .regression_model import regression_model from .regression_model import regression_model
from sklearn.linear_model import Ridge
from globals import OPTS from globals import OPTS
import debug import debug
@ -23,7 +24,8 @@ class linear_regression(regression_model):
Supervised training of model. Supervised training of model.
""" """
model = LinearRegression() #model = LinearRegression()
model = Ridge()
model.fit(features, labels) model.fit(features, labels)
return model return model

View File

@ -13,7 +13,8 @@ import debug
import math import math
relative_data_path = "/sim_data" relative_data_path = "sim_data"
data_file = "sim_data.csv"
data_fnames = ["rise_delay.csv", data_fnames = ["rise_delay.csv",
"fall_delay.csv", "fall_delay.csv",
"rise_slew.csv", "rise_slew.csv",
@ -22,7 +23,8 @@ data_fnames = ["rise_delay.csv",
"write0_power.csv", "write0_power.csv",
"read1_power.csv", "read1_power.csv",
"read0_power.csv", "read0_power.csv",
"leakage_data.csv"] "leakage_data.csv",
"sim_time.csv"]
# Positions must correspond to data_fname list # Positions must correspond to data_fname list
lib_dnames = ["delay_lh", lib_dnames = ["delay_lh",
"delay_hl", "delay_hl",
@ -32,14 +34,15 @@ lib_dnames = ["delay_lh",
"write0_power", "write0_power",
"read1_power", "read1_power",
"read0_power", "read0_power",
"leakage_power"] "leakage_power",
"sim_time"]
# Check if another data dir was specified # Check if another data dir was specified
if OPTS.sim_data_path == None: if OPTS.sim_data_path == None:
data_dir = OPTS.openram_tech+relative_data_path data_dir = OPTS.openram_tech+relative_data_path
else: else:
data_dir = OPTS.sim_data_path data_dir = OPTS.sim_data_path
data_paths = {dname:data_dir +'/'+fname for dname, fname in zip(lib_dnames, data_fnames)} data_path = data_dir + '/' + data_file
class regression_model(simulation): class regression_model(simulation):
@ -47,7 +50,7 @@ class regression_model(simulation):
super().__init__(sram, spfile, corner) super().__init__(sram, spfile, corner)
self.set_corner(corner) self.set_corner(corner)
def get_lib_values(self, slews, loads): def get_lib_values(self, load_slews):
""" """
A model and prediction is created for each output needed for the LIB A model and prediction is created for each output needed for the LIB
""" """
@ -56,12 +59,16 @@ class regression_model(simulation):
log_num_words = math.log(OPTS.num_words, 2) log_num_words = math.log(OPTS.num_words, 2)
model_inputs = [log_num_words, model_inputs = [log_num_words,
OPTS.word_size, OPTS.word_size,
OPTS.words_per_row, OPTS.words_per_row,
self.sram.width * self.sram.height, OPTS.local_array_size,
process_transform[self.process], process_transform[self.process],
self.vdd_voltage, self.vdd_voltage,
self.temperature] self.temperature]
# Area removed for now
# self.sram.width * self.sram.height,
# Include above inputs, plus load and slew which are added below
self.num_inputs = len(model_inputs)+2
self.create_measurement_names() self.create_measurement_names()
models = self.train_models() models = self.train_models()
@ -69,36 +76,35 @@ class regression_model(simulation):
port_data = self.get_empty_measure_data_dict() port_data = self.get_empty_measure_data_dict()
debug.info(1, 'Slew, Load, Port, Delay(ns), Slew(ns)') debug.info(1, 'Slew, Load, Port, Delay(ns), Slew(ns)')
max_delay = 0.0 max_delay = 0.0
for slew in slews: for load, slew in load_slews:
for load in loads: # List returned with value order being delay, power, leakage, slew
# List returned with value order being delay, power, leakage, slew sram_vals = self.get_predictions(model_inputs+[slew, load], models)
sram_vals = self.get_predictions(model_inputs+[slew, load], models) # Delay is only calculated on a single port and replicated for now.
# Delay is only calculated on a single port and replicated for now. for port in self.all_ports:
for port in self.all_ports: port_data[port]['delay_lh'].append(sram_vals['rise_delay'])
port_data[port]['delay_lh'].append(sram_vals['delay_lh']) port_data[port]['delay_hl'].append(sram_vals['fall_delay'])
port_data[port]['delay_hl'].append(sram_vals['delay_hl']) port_data[port]['slew_lh'].append(sram_vals['rise_slew'])
port_data[port]['slew_lh'].append(sram_vals['slew_lh']) port_data[port]['slew_hl'].append(sram_vals['fall_slew'])
port_data[port]['slew_hl'].append(sram_vals['slew_hl'])
port_data[port]['write1_power'].append(sram_vals['write1_power'])
port_data[port]['write0_power'].append(sram_vals['write0_power'])
port_data[port]['read1_power'].append(sram_vals['read1_power'])
port_data[port]['read0_power'].append(sram_vals['read0_power'])
# Disabled power not modeled. Copied from other power predictions
port_data[port]['disabled_write1_power'].append(sram_vals['write1_power'])
port_data[port]['disabled_write0_power'].append(sram_vals['write0_power'])
port_data[port]['disabled_read1_power'].append(sram_vals['read1_power'])
port_data[port]['disabled_read0_power'].append(sram_vals['read0_power'])
port_data[port]['write1_power'].append(sram_vals['write1_power']) debug.info(1, '{}, {}, {}, {}, {}'.format(slew,
port_data[port]['write0_power'].append(sram_vals['write0_power']) load,
port_data[port]['read1_power'].append(sram_vals['read1_power']) port,
port_data[port]['read0_power'].append(sram_vals['read0_power']) sram_vals['rise_delay'],
sram_vals['rise_slew']))
# Disabled power not modeled. Copied from other power predictions
port_data[port]['disabled_write1_power'].append(sram_vals['write1_power'])
port_data[port]['disabled_write0_power'].append(sram_vals['write0_power'])
port_data[port]['disabled_read1_power'].append(sram_vals['read1_power'])
port_data[port]['disabled_read0_power'].append(sram_vals['read0_power'])
debug.info(1, '{}, {}, {}, {}, {}'.format(slew,
load,
port,
sram_vals['delay_lh'],
sram_vals['slew_lh']))
# Estimate the period as double the delay with margin # Estimate the period as double the delay with margin
period_margin = 0.1 period_margin = 0.1
sram_data = {"min_period": sram_vals['delay_lh'] * 2, sram_data = {"min_period": sram_vals['rise_delay'] * 2,
"leakage_power": sram_vals["leakage_power"]} "leakage_power": sram_vals["leakage_power"]}
debug.info(2, "SRAM Data:\n{}".format(sram_data)) debug.info(2, "SRAM Data:\n{}".format(sram_data))
@ -111,30 +117,46 @@ class regression_model(simulation):
Generate a model and prediction for LIB output Generate a model and prediction for LIB output
""" """
#Scaled the inputs using first data file as a reference #Scaled the inputs using first data file as a reference
data_name = lib_dnames[0] scaled_inputs = np.asarray([scale_input_datapoint(model_inputs, data_path)])
scaled_inputs = np.asarray([scale_input_datapoint(model_inputs, data_paths[data_name])])
predictions = {} predictions = {}
for dname in data_paths.keys(): out_pos = 0
path = data_paths[dname] for dname in self.output_names:
m = models[dname] m = models[dname]
features, labels = get_scaled_data(path)
scaled_pred = self.model_prediction(m, scaled_inputs) scaled_pred = self.model_prediction(m, scaled_inputs)
pred = unscale_data(scaled_pred.tolist(), path) pred = unscale_data(scaled_pred.tolist(), data_path, pos=self.num_inputs+out_pos)
debug.info(2,"Unscaled Prediction = {}".format(pred)) debug.info(2,"Unscaled Prediction = {}".format(pred))
predictions[dname] = pred[0][0] predictions[dname] = pred[0]
out_pos+=1
return predictions return predictions
def train_models(self): def train_models(self):
""" """
Generate and return models Generate and return models
""" """
self.output_names = get_data_names(data_path)[self.num_inputs:]
data = get_scaled_data(data_path)
features, labels = data[:, :self.num_inputs], data[:,self.num_inputs:]
output_num = 0
models = {} models = {}
for dname, dpath in data_paths.items(): for o_name in self.output_names:
features, labels = get_scaled_data(dpath) output_label = labels[:,output_num]
model = self.generate_model(features, labels) model = self.generate_model(features, output_label)
models[dname] = model models[o_name] = model
output_num+=1
return models return models
# Fixme - only will work for sklearn regression models
def save_model(self, model_name, model):
try:
OPTS.model_dict
except AttributeError:
OPTS.model_dict = {}
OPTS.model_dict[model_name+"_coef"] = list(model.coef_[0])
debug.info(1,"Coefs of {}:{}".format(model_name,OPTS.model_dict[model_name+"_coef"]))
OPTS.model_dict[model_name+"_intercept"] = float(model.intercept_)

View File

@ -22,7 +22,7 @@ from globals import OPTS
class stimuli(): class stimuli():
""" Class for providing stimuli functions """ """ Class for providing stimuli functions """
def __init__(self, stim_file, corner): def __init__(self, stim_file, corner):
self.vdd_name = "vdd" self.vdd_name = "vdd"
self.gnd_name = "gnd" self.gnd_name = "gnd"
self.pmos_name = tech.spice["pmos"] self.pmos_name = tech.spice["pmos"]
@ -276,8 +276,8 @@ class stimuli():
self.sf.write(".OPTIONS MEASURE MEASFAIL=1\n") self.sf.write(".OPTIONS MEASURE MEASFAIL=1\n")
self.sf.write(".OPTIONS LINSOL type=klu\n") self.sf.write(".OPTIONS LINSOL type=klu\n")
self.sf.write(".TRAN {0}p {1}n\n".format(timestep, end_time)) self.sf.write(".TRAN {0}p {1}n\n".format(timestep, end_time))
else: elif OPTS.spice_name:
debug.error("Unkown spice simulator {}".format(OPTS.spice_name)) debug.error("Unkown spice simulator {}".format(OPTS.spice_name), -1)
# create plots for all signals # create plots for all signals
if not OPTS.use_pex: # Don't save all for extracted simulations if not OPTS.use_pex: # Don't save all for extracted simulations

View File

@ -8,7 +8,7 @@ num_words = 1024
human_byte_size = "{:.0f}kbytes".format((word_size * num_words)/1024/8) human_byte_size = "{:.0f}kbytes".format((word_size * num_words)/1024/8)
# Allow byte writes # Allow byte writes
write_size = 8 # Bits #write_size = 8 # Bits
# Dual port # Dual port
num_rw_ports = 0 num_rw_ports = 0

View File

@ -9,7 +9,8 @@ nominal_corner_only = True
# Local wordlines have issues with met3 power routing for now # Local wordlines have issues with met3 power routing for now
#local_array_size = 16 #local_array_size = 16
#route_supplies = False route_supplies = "ring"
#route_supplies = "left"
check_lvsdrc = True check_lvsdrc = True
#perimeter_pins = False #perimeter_pins = False
#netlist_only = True #netlist_only = True

View File

@ -3,7 +3,7 @@ from datetime import *
import numpy as np import numpy as np
import math import math
import debug import debug
from tech import use_purpose
class VlsiLayout: class VlsiLayout:
"""Class represent a hierarchical layout""" """Class represent a hierarchical layout"""
@ -215,9 +215,13 @@ class VlsiLayout:
self.deduceHierarchy() self.deduceHierarchy()
# self.traverseTheHierarchy() # self.traverseTheHierarchy()
self.populateCoordinateMap() self.populateCoordinateMap()
#only ones with text
for layerNumber in self.layerNumbersInUse: for layerNumber in self.layerNumbersInUse:
self.processLabelPins((layerNumber, None)) #if layerNumber not in no_pin_shape:
if layerNumber in use_purpose:
self.processLabelPins((layerNumber, use_purpose[layerNumber]))
else:
self.processLabelPins((layerNumber, None))
def populateCoordinateMap(self): def populateCoordinateMap(self):
def addToXyTree(startingStructureName = None,transformPath = None): def addToXyTree(startingStructureName = None,transformPath = None):
@ -903,6 +907,16 @@ def sameLPP(lpp1, lpp2):
if lpp1[1] == None or lpp2[1] == None: if lpp1[1] == None or lpp2[1] == None:
return lpp1[0] == lpp2[0] return lpp1[0] == lpp2[0]
if isinstance(lpp1[1], list):
for i in range(len(lpp1[1])):
if lpp1[0] == lpp2[0] and lpp1[1][i] == lpp2[1]:
return True
if isinstance(lpp2[1], list):
for i in range(len(lpp2[1])):
if lpp1[0] == lpp2[0] and lpp1[1] == lpp2[1][i]:
return True
return lpp1[0] == lpp2[0] and lpp1[1] == lpp2[1] return lpp1[0] == lpp2[0] and lpp1[1] == lpp2[1]

View File

@ -238,8 +238,8 @@ def setup_bitcell():
OPTS.dummy_bitcell = "dummy_pbitcell" OPTS.dummy_bitcell = "dummy_pbitcell"
OPTS.replica_bitcell = "replica_pbitcell" OPTS.replica_bitcell = "replica_pbitcell"
else: else:
num_ports = OPTS.num_rw_ports + OPTS.num_w_ports + OPTS.num_r_ports OPTS.num_ports = OPTS.num_rw_ports + OPTS.num_w_ports + OPTS.num_r_ports
OPTS.bitcell = "bitcell_{}port".format(num_ports) OPTS.bitcell = "bitcell_{}port".format(OPTS.num_ports)
OPTS.dummy_bitcell = "dummy_" + OPTS.bitcell OPTS.dummy_bitcell = "dummy_" + OPTS.bitcell
OPTS.replica_bitcell = "replica_" + OPTS.bitcell OPTS.replica_bitcell = "replica_" + OPTS.bitcell
@ -607,14 +607,14 @@ def report_status():
# If a write mask is specified by the user, the mask write size should be the same as # If a write mask is specified by the user, the mask write size should be the same as
# the word size so that an entire word is written at once. # the word size so that an entire word is written at once.
if OPTS.write_size is not None: if OPTS.write_size is not None and OPTS.write_size != OPTS.word_size:
if (OPTS.word_size % OPTS.write_size != 0): if (OPTS.word_size % OPTS.write_size != 0):
debug.error("Write size needs to be an integer multiple of word size.") debug.error("Write size needs to be an integer multiple of word size.")
# If write size is more than half of the word size, # If write size is more than half of the word size,
# then it doesn't need a write mask. It would be writing # then it doesn't need a write mask. It would be writing
# the whole word. # the whole word.
if (OPTS.write_size < 1 or OPTS.write_size > OPTS.word_size/2): if (OPTS.write_size < 1 or OPTS.write_size > OPTS.word_size / 2):
debug.error("Write size needs to be between 1 bit and {0} bits/2.".format(OPTS.word_size)) debug.error("Write size needs to be between 1 bit and {0} bits.".format(int(OPTS.word_size / 2)))
if not OPTS.tech_name: if not OPTS.tech_name:
debug.error("Tech name must be specified in config file.") debug.error("Tech name must be specified in config file.")

View File

@ -0,0 +1,7 @@
word_size = 128
num_words = 1024
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True

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@ -0,0 +1,7 @@
word_size = 32
num_words = 1024
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True

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@ -0,0 +1,7 @@
word_size = 32
num_words = 2048
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True

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@ -0,0 +1,7 @@
word_size = 32
num_words = 256
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True

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@ -0,0 +1,7 @@
word_size = 32
num_words = 512
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True

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@ -0,0 +1,7 @@
word_size = 64
num_words = 1024
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True

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@ -0,0 +1,7 @@
word_size = 64
num_words = 512
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True

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@ -0,0 +1,7 @@
word_size = 8
num_words = 1024
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True

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@ -0,0 +1,7 @@
word_size = 8
num_words = 256
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True

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@ -0,0 +1,7 @@
word_size = 8
num_words = 512
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True

283
compiler/model_data_util.py Normal file
View File

@ -0,0 +1,283 @@
import os
import csv
import re
import sys
import csv
import importlib
# Use the HTML file to extra the data. Easier to do than LIB
data_file_ext = ".html"
extended_name = "_extended" # Name addon of extended config file
DEFAULT_LAS = 0
def gen_regex_float_group(num, separator):
if num <= 0:
return ''
float_regex = '([-+]?[0-9]*\.?[0-9]*)'
full_regex = float_regex
for i in range(num-1):
full_regex+=separator+float_regex
return full_regex
def import_module(mod_name, mod_path):
spec = importlib.util.spec_from_file_location(mod_name, mod_path)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
return mod
def get_config_mods(openram_dir):
# Get dataset name used by all the files e.g. sram_1b_16
files_names = [name for name in os.listdir(openram_dir) if os.path.isfile(openram_dir+'/'+name)]
log = [name for name in files_names if '.log' in name][0]
dataset_name = log[:-4]
print("Extracting dataset:{}".format(dataset_name))
# Check that the config files exist (including special extended config)
dir_path = openram_dir+"/"
#sys.path.append(dir_path)
imp_mod = None
imp_mod_extended = None
if not os.path.exists(openram_dir+'/'+dataset_name+".py"):
print("Python module for {} not found. Returning...".format(dataset_name))
else:
imp_mod = import_module(dataset_name, openram_dir+"/"+dataset_name+".py")
if not os.path.exists(openram_dir+'/'+dataset_name+extended_name+".py"):
print("Python module for {} not found. Returning...".format(dataset_name))
else:
imp_mod_extended = import_module(dataset_name+extended_name, openram_dir+"/"+dataset_name+extended_name+".py")
datasheet_fname = openram_dir+"/"+dataset_name+data_file_ext
return dataset_name, imp_mod, imp_mod_extended, datasheet_fname
def get_corners(datafile_contents, dataset_name, tech):
"""Search through given datasheet to find all corners available"""
corner_regex = r"{}.*{},([-+]?[0-9]*\.?[0-9]*),([-+]?[0-9]*\.?[0-9]*),([tsfTSF][tsfTSF]),".format(dataset_name, tech)
corners = re.findall(corner_regex,datafile_contents)
return corners # List of corner tuples in order (T, V, P)
feature_names = ['num_words',
'word_size',
'words_per_row',
'local_array_size',
'area',
'process',
'voltage',
'temperature',
'slew',
'load']
output_names = ['rise_delay',
'fall_delay',
'rise_slew',
'fall_slew',
'write1_power',
'write0_power',
'read1_power',
'read0_power',
'leakage_power']
multivalue_names = ['cell_rise_0',
'cell_fall_0',
'rise_transition_0',
'fall_transition_0']
singlevalue_names = ['write_rise_power_0',
'write_fall_power_0',
'read_rise_power_0',
'read_fall_power_0']
def write_to_csv(dataset_name, csv_file, datasheet_fname, imp_mod, imp_mod_extended, mode):
writer = csv.writer(csv_file)
# If the file was opened to write and not append then we write the header
if mode == 'w':
writer.writerow(feature_names+output_names)
try:
load_slews = imp_mod.use_specified_load_slew
except:
load_slews = None
if load_slews != None:
num_items = len(load_slews)
num_loads_or_slews = len(load_slews)
else:
# These are the defaults for openram
num_items = 9
num_loads_or_slews = 3
try:
f = open(datasheet_fname, "r")
except IOError:
print("Unable to open spice output file: {0}".format(datasheet_fname))
return None
print("Opened file",datasheet_fname)
contents = f.read()
f.close()
available_corners = get_corners(contents, dataset_name, imp_mod_extended.tech_name)
# Loop through corners, adding data for each corner
for (temp, voltage, process) in available_corners:
# Create a regex to search the datasheet for specified outputs
voltage_str = "".join(['\\'+i if i=='.' else i for i in str(voltage)])
area_regex = r"Area \(&microm<sup>2<\/sup>\)<\/td><td>(\d+)"
leakage_regex = r"leakage<\/td><td>([-+]?[0-9]*\.?[0-9]*)"
slew_regex = r"rise transition<\/td><td>([-+]?[0-9]*\.?[0-9]*)"
if load_slews == None:
float_regex = gen_regex_float_group(num_loads_or_slews, ', ')
inp_slews_regex = r"{},{}.*{},{},{},.*slews,\[{}".format(
dataset_name,
imp_mod.num_words,
str(temp),
voltage_str,
process,
float_regex)
loads_regex = r"{},{}.*{},{},{},.*loads,\[{}".format(
dataset_name,
imp_mod.num_words,
str(temp),
voltage_str,
process,
float_regex)
float_regex = gen_regex_float_group(num_items, ', ')
multivalue_regexs = []
for value_identifier in multivalue_names:
regex_str = r"{},{}.*{},{},{},.*{},\[{}".format(
dataset_name,
imp_mod.num_words,
str(temp),
voltage_str,
process,
value_identifier,
float_regex)
multivalue_regexs.append(regex_str)
singlevalue_regexs = []
for value_identifier in singlevalue_names:
regex_str = r"{},{}.*{},{},{},.*{},([-+]?[0-9]*\.?[0-9]*)".format(
dataset_name,
imp_mod.num_words,
str(temp),
voltage_str,
process,
value_identifier,
float_regex)
singlevalue_regexs.append(regex_str)
area_vals = re.search(area_regex,contents)
leakage_vals = re.search(leakage_regex,contents)
if load_slews == None:
inp_slew_vals = re.search(inp_slews_regex,contents)
load_vals = re.search(loads_regex,contents)
datasheet_multivalues = [re.search(r,contents) for r in multivalue_regexs]
datasheet_singlevalues = [re.search(r,contents) for r in singlevalue_regexs]
for dval in datasheet_multivalues+datasheet_singlevalues:
if dval == None:
print("Error occurred while searching through datasheet: {}".format(datasheet_fname))
return None
try:
las = imp_mod.local_array_size
except:
las = DEFAULT_LAS
# All the extracted values are delays but val[2] is the max delay
feature_vals = [imp_mod.num_words,
imp_mod.word_size,
imp_mod_extended.words_per_row,
las,
area_vals[1],
process,
voltage,
temp]
if load_slews == None:
c = 1
for i in range(num_loads_or_slews):
for j in range(num_loads_or_slews):
multi_values = [val[i+j+c] for val in datasheet_multivalues]
single_values = [val[1] for val in datasheet_singlevalues]
writer.writerow(feature_vals+[inp_slew_vals[i+1], load_vals[j+1]]+multi_values+single_values+[leakage_vals[1]])
c+=2
else:
# if num loads and num slews are not equal then this might break because of how OpenRAM formats
# the outputs
c = 1
for load,slew in load_slews:
multi_values = [val[c] for val in datasheet_multivalues]
single_values = [val[1] for val in datasheet_singlevalues]
writer.writerow(feature_vals+[slew, load]+multi_values+single_values+[leakage_vals[1]])
c+=1
def extract_data(openram_dir, out_dir, is_first):
"""Given an OpenRAM output dir, searches through datasheet files and ouputs
a CSV files with data used in model."""
# Get dataset name used by all the files e.g. sram_1b_16
dataset_name, inp_mod, imp_mod_extended, datasheet_fname = get_config_mods(openram_dir)
if is_first:
mode = 'w'
else:
mode = 'a+'
data_file = open("{}/sim_data.csv".format(out_dir), mode, newline='')
write_to_csv(dataset_name, data_file, datasheet_fname, inp_mod, imp_mod_extended, mode)
return out_dir
def gen_model_csv(openram_dir_path, out_dir):
if not os.path.isdir(input_dir_path):
print("Path does not exist: {}".format(input_dir_path))
return
if not os.path.isdir(out_path):
print("Path does not exist: {}".format(out_path))
return
is_first = True
oram_dirs = [openram_dir_path+'/'+name for name in os.listdir(openram_dir_path) if os.path.isdir(openram_dir_path+'/'+name)]
for dir in oram_dirs:
extract_data(dir, out_dir, is_first)
is_first = False
if __name__ == "__main__":
if len(sys.argv) < 3:
print("Usage: python model_data_util.py path_to_openram_dirs out_dir_path")
else:
input_dir_path = sys.argv[1]
out_path = sys.argv[2]
gen_model_csv(input_dir_path, out_path)

View File

@ -366,18 +366,13 @@ class bank(design.design):
# A space for wells or jogging m2 # A space for wells or jogging m2
self.m2_gap = max(2 * drc("pwell_to_nwell") + drc("nwell_enclose_active"), self.m2_gap = max(2 * drc("pwell_to_nwell") + drc("nwell_enclose_active"),
3 * self.m2_pitch) 3 * self.m2_pitch,
drc("nwell_to_nwell"))
def add_modules(self): def add_modules(self):
""" Add all the modules using the class loader """ """ Add all the modules using the class loader """
self.port_address = []
for port in self.all_ports:
self.port_address.append(factory.create(module_type="port_address",
cols=self.num_cols + self.num_spare_cols,
rows=self.num_rows,
port=port))
self.add_mod(self.port_address[port])
local_array_size = OPTS.local_array_size local_array_size = OPTS.local_array_size
@ -397,12 +392,26 @@ class bank(design.design):
cols=self.num_cols + self.num_spare_cols, cols=self.num_cols + self.num_spare_cols,
rows=self.num_rows) rows=self.num_rows)
self.add_mod(self.bitcell_array) self.add_mod(self.bitcell_array)
if self.num_spare_cols == 0:
self.num_spare_cols = (self.bitcell_array.column_size % (self.word_size *self.words_per_row))
self.port_address = []
for port in self.all_ports:
self.port_address.append(factory.create(module_type="port_address",
cols=self.bitcell_array.column_size,
rows=self.bitcell_array.row_size,
port=port))
self.add_mod(self.port_address[port])
self.port_data = [] self.port_data = []
self.bit_offsets = self.get_column_offsets() self.bit_offsets = self.get_column_offsets()
for port in self.all_ports: for port in self.all_ports:
temp_pre = factory.create(module_type="port_data", temp_pre = factory.create(module_type="port_data",
sram_config=self.sram_config, sram_config=self.sram_config,
dimension_override=True,
cols=self.bitcell_array.column_size - self.num_spare_cols,
rows=self.bitcell_array.row_size,
num_spare_cols=self.num_spare_cols,
port=port, port=port,
bit_offsets=self.bit_offsets) bit_offsets=self.bit_offsets)
self.port_data.append(temp_pre) self.port_data.append(temp_pre)
@ -430,7 +439,9 @@ class bank(design.design):
temp.append("vdd") temp.append("vdd")
temp.append("gnd") temp.append("gnd")
if 'vpb' in self.bitcell_array_inst.mod.pins and 'vnb' in self.bitcell_array_inst.mod.pins:
temp.append('vpb')
temp.append('vnb')
self.connect_inst(temp) self.connect_inst(temp)
def place_bitcell_array(self, offset): def place_bitcell_array(self, offset):
@ -489,7 +500,7 @@ class bank(design.design):
mod=self.port_address[port]) mod=self.port_address[port])
temp = [] temp = []
for bit in range(self.row_addr_size): for bit in range(ceil(log(self.bitcell_array.row_size, 2))):
temp.append("addr{0}_{1}".format(port, bit + self.col_addr_size)) temp.append("addr{0}_{1}".format(port, bit + self.col_addr_size))
temp.append("wl_en{}".format(port)) temp.append("wl_en{}".format(port))
wordline_names = self.bitcell_array.get_wordline_names(port) wordline_names = self.bitcell_array.get_wordline_names(port)
@ -614,6 +625,10 @@ class bank(design.design):
self.copy_power_pins(inst, "vdd", add_vias=False) self.copy_power_pins(inst, "vdd", add_vias=False)
self.copy_power_pins(inst, "gnd", add_vias=False) self.copy_power_pins(inst, "gnd", add_vias=False)
if 'vpb' in self.bitcell_array_inst.mod.pins and 'vnb' in self.bitcell_array_inst.mod.pins:
for pin_name, supply_name in zip(['vpb','vnb'],['vdd','gnd']):
self.copy_power_pins(self.bitcell_array_inst, pin_name, new_name=supply_name)
# If we use the pinvbuf as the decoder, we need to add power pins. # If we use the pinvbuf as the decoder, we need to add power pins.
# Other decoders already have them. # Other decoders already have them.
if self.col_addr_size == 1: if self.col_addr_size == 1:
@ -1062,7 +1077,6 @@ class bank(design.design):
to_layer="m2", to_layer="m2",
offset=control_pos) offset=control_pos)
def graph_exclude_precharge(self): def graph_exclude_precharge(self):
""" """
Precharge adds a loop between bitlines, can be excluded to reduce complexity Precharge adds a loop between bitlines, can be excluded to reduce complexity

View File

@ -109,7 +109,7 @@ class dff_buf(design.design):
except AttributeError: except AttributeError:
pass pass
well_spacing += self.well_extend_active well_spacing += 2 * self.well_extend_active
self.inv1_inst.place(vector(self.dff_inst.rx() + well_spacing, 0)) self.inv1_inst.place(vector(self.dff_inst.rx() + well_spacing, 0))

View File

@ -12,6 +12,10 @@ from vector import vector
from sram_factory import factory from sram_factory import factory
from globals import OPTS from globals import OPTS
from tech import layer_properties as layer_props from tech import layer_properties as layer_props
from tech import layer_indices
from tech import layer_stacks
from tech import preferred_directions
from tech import drc
class hierarchical_predecode(design.design): class hierarchical_predecode(design.design):
@ -29,7 +33,7 @@ class hierarchical_predecode(design.design):
self.cell_height = height self.cell_height = height
self.column_decoder = column_decoder self.column_decoder = column_decoder
self.input_and_rail_pos = []
self.number_of_outputs = int(math.pow(2, self.number_of_inputs)) self.number_of_outputs = int(math.pow(2, self.number_of_inputs))
super().__init__(name) super().__init__(name)
@ -183,9 +187,9 @@ class hierarchical_predecode(design.design):
def route(self): def route(self):
self.route_input_inverters() self.route_input_inverters()
self.route_output_inverters()
self.route_inputs_to_rails()
self.route_input_ands() self.route_input_ands()
self.route_output_inverters()
self.route_inputs_to_rails()
self.route_output_ands() self.route_output_ands()
self.route_vdd_gnd() self.route_vdd_gnd()
@ -274,8 +278,46 @@ class hierarchical_predecode(design.design):
# pins in the and gates. # pins in the and gates.
inv_out_pos = inv_out_pin.rc() inv_out_pos = inv_out_pin.rc()
y_offset = (inv_num + 1) * self.inv.height - self.output_layer_pitch y_offset = (inv_num + 1) * self.inv.height - self.output_layer_pitch
right_pos = inv_out_pos + vector(self.inv.width - self.inv.get_pin("Z").rx(), 0)
rail_pos = vector(self.decode_rails[out_pin].cx(), y_offset) rail_pos = vector(self.decode_rails[out_pin].cx(), y_offset)
# create via for dimensions
from_layer = self.output_layer
to_layer = self.bus_layer
cur_layer = from_layer
from_id = layer_indices[cur_layer]
to_id = layer_indices[to_layer]
if from_id < to_id: # grow the stack up
search_id = 0
next_id = 2
else: # grow the stack down
search_id = 2
next_id = 0
curr_stack = next(filter(lambda stack: stack[search_id] == cur_layer, layer_stacks), None)
via = factory.create(module_type="contact",
layer_stack=curr_stack,
dimensions=[1, 1],
directions=self.bus_directions)
overlapping_pin_space = drc["{0}_to_{0}".format(self.output_layer)]
total_buffer_space = (overlapping_pin_space + via.height)
#FIXME: compute rail locations instead of just guessing and nudging
while(True):
drc_error = 0
for and_input in self.input_and_rail_pos:
if and_input.x == rail_pos.x:
if (abs(y_offset - and_input.y) < total_buffer_space) and (abs(y_offset - and_input.y) > via.height):
drc_error = 1
if drc_error == 0:
break
else:
y_offset += drc["grid"]
rail_pos.y = y_offset
right_pos = inv_out_pos + vector(self.inv.width - self.inv.get_pin("Z").rx(), 0)
self.add_path(self.output_layer, [inv_out_pos, right_pos, vector(right_pos.x, y_offset), rail_pos]) self.add_path(self.output_layer, [inv_out_pos, right_pos, vector(right_pos.x, y_offset), rail_pos])
self.add_via_stack_center(from_layer=inv_out_pin.layer, self.add_via_stack_center(from_layer=inv_out_pin.layer,
@ -316,6 +358,7 @@ class hierarchical_predecode(design.design):
to_layer=self.bus_layer, to_layer=self.bus_layer,
offset=rail_pos, offset=rail_pos,
directions=self.bus_directions) directions=self.bus_directions)
self.input_and_rail_pos.append(rail_pos)
if gate_pin == "A": if gate_pin == "A":
direction = None direction = None
else: else:

View File

@ -11,6 +11,7 @@ from sram_factory import factory
from collections import namedtuple from collections import namedtuple
from vector import vector from vector import vector
from globals import OPTS from globals import OPTS
from tech import cell_properties
from tech import layer_properties as layer_props from tech import layer_properties as layer_props
@ -20,26 +21,36 @@ class port_data(design.design):
Port 0 always has the RBL on the left while port 1 is on the right. Port 0 always has the RBL on the left while port 1 is on the right.
""" """
def __init__(self, sram_config, port, bit_offsets=None, name=""): def __init__(self, sram_config, port, num_spare_cols=None, bit_offsets=None, name="", rows=None, cols=None, dimension_override=False):
sram_config.set_local_config(self) sram_config.set_local_config(self)
if dimension_override:
self.num_rows = rows
self.num_cols = cols
self.word_size = sram_config.word_size
self.port = port self.port = port
if self.write_size is not None: if self.write_size is not None:
self.num_wmasks = int(math.ceil(self.word_size / self.write_size)) self.num_wmasks = int(math.ceil(self.word_size / self.write_size))
else: else:
self.num_wmasks = 0 self.num_wmasks = 0
if self.num_spare_cols is None: if num_spare_cols:
self.num_spare_cols = num_spare_cols
elif self.num_spare_cols is None:
self.num_spare_cols = 0 self.num_spare_cols = 0
if not bit_offsets: if not bit_offsets:
bitcell = factory.create(module_type=OPTS.bitcell) bitcell = factory.create(module_type=OPTS.bitcell)
if(cell_properties.use_strap == True and OPTS.num_ports == 1):
strap = factory.create(module_type=cell_properties.strap_module, version=cell_properties.strap_version)
precharge_width = bitcell.width + strap.width
else:
precharge_width = bitcell.width
self.bit_offsets = [] self.bit_offsets = []
for i in range(self.num_cols + self.num_spare_cols): for i in range(self.num_cols + self.num_spare_cols):
self.bit_offsets.append(i * bitcell.width) self.bit_offsets.append(i * precharge_width)
else: else:
self.bit_offsets = bit_offsets self.bit_offsets = bit_offsets
if name == "": if name == "":
name = "port_data_{0}".format(self.port) name = "port_data_{0}".format(self.port)
super().__init__(name) super().__init__(name)
@ -117,7 +128,6 @@ class port_data(design.design):
for bit in range(self.num_spare_cols): for bit in range(self.num_spare_cols):
self.add_pin("sparebl_{0}".format(bit), "INOUT") self.add_pin("sparebl_{0}".format(bit), "INOUT")
self.add_pin("sparebr_{0}".format(bit), "INOUT") self.add_pin("sparebr_{0}".format(bit), "INOUT")
if self.port in self.read_ports: if self.port in self.read_ports:
for bit in range(self.word_size + self.num_spare_cols): for bit in range(self.word_size + self.num_spare_cols):
self.add_pin("dout_{}".format(bit), "OUTPUT") self.add_pin("dout_{}".format(bit), "OUTPUT")
@ -191,14 +201,19 @@ class port_data(design.design):
# and mirroring happens correctly # and mirroring happens correctly
# Used for names/dimensions only # Used for names/dimensions only
self.cell = factory.create(module_type=OPTS.bitcell) cell = factory.create(module_type=OPTS.bitcell)
if(cell_properties.use_strap == True and OPTS.num_ports == 1):
strap = factory.create(module_type=cell_properties.strap_module, version=cell_properties.strap_version)
precharge_width = cell.width + strap.width
else:
precharge_width = cell.width
if self.port == 0: if self.port == 0:
# Append an offset on the left # Append an offset on the left
precharge_bit_offsets = [self.bit_offsets[0] - self.cell.width] + self.bit_offsets precharge_bit_offsets = [self.bit_offsets[0] - precharge_width] + self.bit_offsets
else: else:
# Append an offset on the right # Append an offset on the right
precharge_bit_offsets = self.bit_offsets + [self.bit_offsets[-1] + self.cell.width] precharge_bit_offsets = self.bit_offsets + [self.bit_offsets[-1] + precharge_width]
self.precharge_array = factory.create(module_type="precharge_array", self.precharge_array = factory.create(module_type="precharge_array",
columns=self.num_cols + self.num_spare_cols + 1, columns=self.num_cols + self.num_spare_cols + 1,
offsets=precharge_bit_offsets, offsets=precharge_bit_offsets,
@ -567,19 +582,32 @@ class port_data(design.design):
off = 1 off = 1
else: else:
off = 0 off = 0
if OPTS.num_ports > 1:
self.channel_route_bitlines(inst1=self.column_mux_array_inst,
inst1_bls_template="{inst}_out_{bit}",
inst2=inst2,
num_bits=self.word_size,
inst1_start_bit=start_bit)
self.channel_route_bitlines(inst1=self.column_mux_array_inst, self.channel_route_bitlines(inst1=self.precharge_array_inst,
inst1_bls_template="{inst}_out_{bit}", inst1_bls_template="{inst}_{bit}",
inst2=inst2, inst2=inst2,
num_bits=self.word_size, num_bits=self.num_spare_cols,
inst1_start_bit=start_bit) inst1_start_bit=self.num_cols + off,
inst2_start_bit=self.word_size)
else:
self.connect_bitlines(inst1=self.column_mux_array_inst,
inst1_bls_template="{inst}_out_{bit}",
inst2=inst2,
num_bits=self.word_size,
inst1_start_bit=start_bit)
self.channel_route_bitlines(inst1=self.precharge_array_inst, self.connect_bitlines(inst1=self.precharge_array_inst,
inst1_bls_template="{inst}_{bit}", inst1_bls_template="{inst}_{bit}",
inst2=inst2, inst2=inst2,
num_bits=self.num_spare_cols, num_bits=self.num_spare_cols,
inst1_start_bit=self.num_cols + off, inst1_start_bit=self.num_cols + off,
inst2_start_bit=self.word_size) inst2_start_bit=self.word_size)
elif layer_props.port_data.channel_route_bitlines: elif layer_props.port_data.channel_route_bitlines:
self.channel_route_bitlines(inst1=inst1, self.channel_route_bitlines(inst1=inst1,

View File

@ -76,8 +76,8 @@ class precharge_array(design.design):
size=self.size, size=self.size,
bitcell_bl=self.bitcell_bl, bitcell_bl=self.bitcell_bl,
bitcell_br=self.bitcell_br) bitcell_br=self.bitcell_br)
self.add_mod(self.pc_cell) self.add_mod(self.pc_cell)
self.cell = factory.create(module_type=OPTS.bitcell) self.cell = factory.create(module_type=OPTS.bitcell)
def add_layout_pins(self): def add_layout_pins(self):

View File

@ -6,7 +6,7 @@
import debug import debug
from bitcell_base_array import bitcell_base_array from bitcell_base_array import bitcell_base_array
from tech import drc, spice from tech import drc, spice, cell_properties
from vector import vector from vector import vector
from globals import OPTS from globals import OPTS
from sram_factory import factory from sram_factory import factory

View File

@ -8,6 +8,7 @@
import design import design
from vector import vector from vector import vector
from sram_factory import factory from sram_factory import factory
from tech import cell_properties
import debug import debug
from globals import OPTS from globals import OPTS
@ -41,7 +42,6 @@ class sense_amp_array(design.design):
self.en_layer = "m3" self.en_layer = "m3"
else: else:
self.en_layer = "m1" self.en_layer = "m1"
self.create_netlist() self.create_netlist()
if not OPTS.netlist_only: if not OPTS.netlist_only:
self.create_layout() self.create_layout()
@ -109,15 +109,22 @@ class sense_amp_array(design.design):
self.en_name, "vdd", "gnd"]) self.en_name, "vdd", "gnd"])
def place_sense_amp_array(self): def place_sense_amp_array(self):
if self.bitcell.width > self.amp.width: cell = factory.create(module_type=OPTS.bitcell)
self.amp_spacing = self.bitcell.width if(cell_properties.use_strap == True and OPTS.num_ports == 1):
strap = factory.create(module_type=cell_properties.strap_module, version=cell_properties.strap_version)
precharge_width = cell.width + strap.width
else:
precharge_width = cell.width
if precharge_width > self.amp.width:
self.amp_spacing = precharge_width
else: else:
self.amp_spacing = self.amp.width self.amp_spacing = self.amp.width
if not self.offsets: if not self.offsets:
self.offsets = [] self.offsets = []
for i in range(self.num_cols + self.num_spare_cols): for i in range(self.num_cols + self.num_spare_cols):
self.offsets.append(i * self.bitcell.width) self.offsets.append(i * self.amp_spacing)
for i, xoffset in enumerate(self.offsets[0:self.num_cols:self.words_per_row]): for i, xoffset in enumerate(self.offsets[0:self.num_cols:self.words_per_row]):
if self.bitcell.mirror.y and (i * self.words_per_row + self.column_offset) % 2: if self.bitcell.mirror.y and (i * self.words_per_row + self.column_offset) % 2:
@ -128,13 +135,12 @@ class sense_amp_array(design.design):
amp_position = vector(xoffset, 0) amp_position = vector(xoffset, 0)
self.local_insts[i].place(offset=amp_position, mirror=mirror) self.local_insts[i].place(offset=amp_position, mirror=mirror)
# place spare sense amps (will share the same enable as regular sense amps) # place spare sense amps (will share the same enable as regular sense amps)
for i, xoffset in enumerate(self.offsets[self.num_cols:]): for i, xoffset in enumerate(self.offsets[self.num_cols:]):
index = self.word_size + i index = self.word_size + i
if self.bitcell.mirror.y and (index + self.column_offset) % 2: if self.bitcell.mirror.y and (index + self.column_offset) % 2:
mirror = "MY" mirror = "MY"
xoffset = xoffset + self.amp_width xoffset = xoffset + self.amp_spacing
else: else:
mirror = "" mirror = ""

View File

@ -72,7 +72,9 @@ class options(optparse.Values):
# This is the temp directory where all intermediate results are stored. # This is the temp directory where all intermediate results are stored.
try: try:
# If user defined the temporary location in their environment, use it # If user defined the temporary location in their environment, use it
openram_temp = os.path.abspath(os.environ.get("OPENRAM_TMP")) openram_temp = os.path.abspath(os.environ.get("OPENRAM_TMP"))
except: except:
openram_temp = "/tmp" openram_temp = "/tmp"
@ -87,6 +89,8 @@ class options(optparse.Values):
use_specified_corners = None use_specified_corners = None
# Allows specification of model data # Allows specification of model data
sim_data_path = None sim_data_path = None
# A list of load/slew tuples
use_specified_load_slew = None
################### ###################
# Run-time vs accuracy options. # Run-time vs accuracy options.
@ -97,6 +101,7 @@ class options(optparse.Values):
netlist_only = False netlist_only = False
# Whether we should do the final power routing # Whether we should do the final power routing
route_supplies = "tree" route_supplies = "tree"
supply_pin_type = "ring"
# This determines whether LVS and DRC is checked at all. # This determines whether LVS and DRC is checked at all.
check_lvsdrc = False check_lvsdrc = False
# This determines whether LVS and DRC is checked for every submodule. # This determines whether LVS and DRC is checked for every submodule.
@ -117,13 +122,13 @@ class options(optparse.Values):
# Tool options # Tool options
################### ###################
# Variable to select the variant of spice # Variable to select the variant of spice
spice_name = "" spice_name = None
# The spice executable being used which is derived from the user PATH. # The spice executable being used which is derived from the user PATH.
spice_exe = "" spice_exe = None
# Variable to select the variant of drc, lvs, pex # Variable to select the variant of drc, lvs, pex
drc_name = "" drc_name = None
lvs_name = "" lvs_name = None
pex_name = "" pex_name = None
# The DRC/LVS/PEX executable being used # The DRC/LVS/PEX executable being used
# which is derived from the user PATH. # which is derived from the user PATH.
drc_exe = None drc_exe = None

View File

@ -56,7 +56,13 @@ class column_mux(pgate.pgate):
self.place_ptx() self.place_ptx()
self.width = self.bitcell.width cell = factory.create(module_type=OPTS.bitcell)
if(cell_props.use_strap == True and OPTS.num_ports == 1):
strap = factory.create(module_type=cell_props.strap_module, version=cell_props.strap_version)
precharge_width = cell.width + strap.width
else:
precharge_width = cell.width
self.width = precharge_width
self.height = self.nmos_upper.uy() + self.pin_height self.height = self.nmos_upper.uy() + self.pin_height
self.connect_poly() self.connect_poly()
@ -217,10 +223,15 @@ class column_mux(pgate.pgate):
Add a well and implant over the whole cell. Also, add the Add a well and implant over the whole cell. Also, add the
pwell contact (if it exists) pwell contact (if it exists)
""" """
if(cell_props.use_strap == True and OPTS.num_ports == 1):
strap = factory.create(module_type=cell_props.strap_module, version=cell_props.strap_version)
rbc_width = self.bitcell.width + strap.width
else:
rbc_width = self.bitcell.width
# Add it to the right, aligned in between the two tx # Add it to the right, aligned in between the two tx
active_pos = vector(self.bitcell.width, active_pos = vector(rbc_width,
self.nmos_upper.by() - 0.5 * self.poly_space) self.nmos_upper.by() - 0.5 * self.poly_space)
self.add_via_center(layers=self.active_stack, self.add_via_center(layers=self.active_stack,
offset=active_pos, offset=active_pos,
implant_type="p", implant_type="p",
@ -239,5 +250,5 @@ class column_mux(pgate.pgate):
if "pwell" in layer: if "pwell" in layer:
self.add_rect(layer="pwell", self.add_rect(layer="pwell",
offset=vector(0, 0), offset=vector(0, 0),
width=self.bitcell.width, width=rbc_width,
height=self.height) height=self.height)

View File

@ -30,7 +30,11 @@ class precharge(design.design):
self.beta = parameter["beta"] self.beta = parameter["beta"]
self.ptx_width = self.beta * parameter["min_tx_size"] self.ptx_width = self.beta * parameter["min_tx_size"]
self.ptx_mults = 1 self.ptx_mults = 1
self.width = self.bitcell.width if(cell_props.use_strap == True and OPTS.num_ports == 1):
strap = factory.create(module_type=cell_props.strap_module, version=cell_props.strap_version)
self.width = self.bitcell.width + strap.width
else:
self.width = self.bitcell.width
self.bitcell_bl = bitcell_bl self.bitcell_bl = bitcell_bl
self.bitcell_br = bitcell_br self.bitcell_br = bitcell_br
self.bitcell_bl_pin =self.bitcell.get_pin(self.bitcell_bl) self.bitcell_bl_pin =self.bitcell.get_pin(self.bitcell_bl)

View File

@ -37,6 +37,8 @@ class grid:
# This is really lower left bottom layer and upper right top layer in 3D. # This is really lower left bottom layer and upper right top layer in 3D.
self.ll = vector3d(ll.x, ll.y, 0).scale(self.track_factor).round() self.ll = vector3d(ll.x, ll.y, 0).scale(self.track_factor).round()
self.ur = vector3d(ur.x, ur.y, 0).scale(self.track_factor).round() self.ur = vector3d(ur.x, ur.y, 0).scale(self.track_factor).round()
debug.info(1, "BBOX coords: ll=" + str(ll) + " ur=" + str(ur))
debug.info(1, "BBOX grids: ll=" + str(self.ll) + " ur=" + str(self.ur))
# let's leave the map sparse, cells are created on demand to reduce memory # let's leave the map sparse, cells are created on demand to reduce memory
self.map={} self.map={}
@ -127,33 +129,47 @@ class grid:
Side specifies which side. Side specifies which side.
Layer specifies horizontal (0) or vertical (1) Layer specifies horizontal (0) or vertical (1)
Width specifies how wide the perimter "stripe" should be. Width specifies how wide the perimter "stripe" should be.
Works from the inside out from the bbox (ll, ur)
""" """
if "ring" in side:
ring_width = width
else:
ring_width = 0
if "ring" in side:
ring_offset = offset
else:
ring_offset = 0
perimeter_list = [] perimeter_list = []
# Add the left/right columns # Add the left/right columns
if side=="all" or side=="left": if side=="all" or "left" in side:
for x in range(self.ll.x + offset, self.ll.x + width + offset, 1): for x in range(self.ll.x - offset, self.ll.x - width - offset, -1):
for y in range(self.ll.y + margin, self.ur.y - margin, 1): for y in range(self.ll.y - ring_offset - margin - ring_width + 1, self.ur.y + ring_offset + margin + ring_width, 1):
for layer in layers: for layer in layers:
perimeter_list.append(vector3d(x, y, layer)) perimeter_list.append(vector3d(x, y, layer))
if side=="all" or side=="right": if side=="all" or "right" in side:
for x in range(self.ur.x - width - offset, self.ur.x - offset, 1): for x in range(self.ur.x + offset, self.ur.x + width + offset, 1):
for y in range(self.ll.y + margin, self.ur.y - margin, 1): for y in range(self.ll.y - ring_offset - margin - ring_width + 1, self.ur.y + ring_offset + margin + ring_width, 1):
for layer in layers: for layer in layers:
perimeter_list.append(vector3d(x, y, layer)) perimeter_list.append(vector3d(x, y, layer))
if side=="all" or side=="bottom": if side=="all" or "bottom" in side:
for y in range(self.ll.y + offset, self.ll.y + width + offset, 1): for y in range(self.ll.y - offset, self.ll.y - width - offset, -1):
for x in range(self.ll.x + margin, self.ur.x - margin, 1): for x in range(self.ll.x - ring_offset - margin - ring_width + 1, self.ur.x + ring_offset + margin + ring_width, 1):
for layer in layers: for layer in layers:
perimeter_list.append(vector3d(x, y, layer)) perimeter_list.append(vector3d(x, y, layer))
if side=="all" or side=="top": if side=="all" or "top" in side:
for y in range(self.ur.y - width - offset, self.ur.y - offset, 1): for y in range(self.ur.y + offset, self.ur.y + width + offset, 1):
for x in range(self.ll.x + margin, self.ur.x - margin, 1): for x in range(self.ll.x - ring_offset - margin - ring_width + 1, self.ur.x + ring_offset + margin + ring_width, 1):
for layer in layers: for layer in layers:
perimeter_list.append(vector3d(x, y, layer)) perimeter_list.append(vector3d(x, y, layer))
# Add them all to the map
self.add_map(perimeter_list)
return perimeter_list return perimeter_list
def add_perimeter_target(self, side="all", layers=[0, 1]): def add_perimeter_target(self, side="all", layers=[0, 1]):

View File

@ -75,35 +75,20 @@ class router(router_tech):
self.margin = margin self.margin = margin
self.init_bbox(bbox, margin) self.init_bbox(bbox, margin)
# New pins if we create a ring or side pins or etc.
self.new_pins = {}
def init_bbox(self, bbox=None, margin=0): def init_bbox(self, bbox=None, margin=0):
""" """
Initialize the ll,ur values with the paramter or using the layout boundary. Initialize the ll,ur values with the paramter or using the layout boundary.
""" """
# If didn't specify a gds blockage file, write it out to read the gds
# This isn't efficient, but easy for now
# Load the gds file and read in all the shapes
self.cell.gds_write(self.gds_filename)
self.layout = gdsMill.VlsiLayout(units=GDS["unit"])
self.reader = gdsMill.Gds2reader(self.layout)
self.reader.loadFromFile(self.gds_filename)
self.top_name = self.layout.rootStructureName
if not bbox: if not bbox:
# The boundary will determine the limits to the size self.bbox = self.cell.get_bbox(margin)
# of the routing grid
self.boundary = self.layout.measureBoundary(self.top_name)
# These must be un-indexed to get rid of the matrix type
self.ll = vector(self.boundary[0][0], self.boundary[0][1])
self.ur = vector(self.boundary[1][0], self.boundary[1][1])
else: else:
self.ll, self.ur = bbox self.bbox = bbox
(self.ll, self.ur) = self.bbox
margin_offset = vector(margin, margin)
self.bbox = (self.ll - margin_offset, self.ur + margin_offset)
size = self.ur - self.ll
debug.info(1, "Size: {0} x {1} with perimeter margin {2}".format(size.x, size.y, margin))
def get_bbox(self): def get_bbox(self):
return self.bbox return self.bbox
@ -890,25 +875,96 @@ class router(router_tech):
# Clearing the blockage of this pin requires the inflated pins # Clearing the blockage of this pin requires the inflated pins
self.clear_blockages(pin_name) self.clear_blockages(pin_name)
def add_side_supply_pin(self, name, side="left", width=2): def add_side_supply_pin(self, name, side="left", width=3, space=2):
""" """
Adds a supply pin to the perimeter and resizes the bounding box. Adds a supply pin to the perimeter and resizes the bounding box.
""" """
pg = pin_group(name, [], self) pg = pin_group(name, [], self)
if name == "vdd": # Offset two spaces inside and one between the rings
offset = width if name == "gnd":
offset = width + 2 * space
else: else:
offset = 0 offset = space
if side in ["left", "right"]:
layers = [1]
else:
layers = [0]
pg.grids = set(self.rg.get_perimeter_list(side=side, pg.grids = set(self.rg.get_perimeter_list(side=side,
width=width, width=width,
margin=self.margin, margin=self.margin,
offset=offset, offset=offset,
layers=[1])) layers=layers))
pg.enclosures = pg.compute_enclosures() pg.enclosures = pg.compute_enclosures()
pg.pins = set(pg.enclosures) pg.pins = set(pg.enclosures)
debug.check(len(pg.pins)==1, "Too many pins for a side supply.")
self.cell.pin_map[name].update(pg.pins) self.cell.pin_map[name].update(pg.pins)
self.pin_groups[name].append(pg) self.pin_groups[name].append(pg)
self.new_pins[name] = pg.pins
def add_ring_supply_pin(self, name, width=3, space=2):
"""
Adds a ring supply pin that goes inside the given bbox.
"""
pg = pin_group(name, [], self)
# Offset two spaces inside and one between the rings
# Units are in routing grids
if name == "gnd":
offset = width + 2 * space
else:
offset = space
# LEFT
left_grids = set(self.rg.get_perimeter_list(side="left_ring",
width=width,
margin=self.margin,
offset=offset,
layers=[1]))
# RIGHT
right_grids = set(self.rg.get_perimeter_list(side="right_ring",
width=width,
margin=self.margin,
offset=offset,
layers=[1]))
# TOP
top_grids = set(self.rg.get_perimeter_list(side="top_ring",
width=width,
margin=self.margin,
offset=offset,
layers=[0]))
# BOTTOM
bottom_grids = set(self.rg.get_perimeter_list(side="bottom_ring",
width=width,
margin=self.margin,
offset=offset,
layers=[0]))
horizontal_layer_grids = left_grids | right_grids
# Must move to the same layer to find layer 1 corner grids
vertical_layer_grids = set()
for x in top_grids | bottom_grids:
vertical_layer_grids.add(vector3d(x.x, x.y, 1))
# Add vias in the overlap points
horizontal_corner_grids = vertical_layer_grids & horizontal_layer_grids
for g in horizontal_corner_grids:
self.add_via(g)
# The big pin group, but exclude the corners from the pins
pg.grids = (left_grids | right_grids | top_grids | bottom_grids)
pg.enclosures = pg.compute_enclosures()
pg.pins = set(pg.enclosures)
self.cell.pin_map[name].update(pg.pins)
self.pin_groups[name].append(pg)
self.new_pins[name] = pg.pins
def get_new_pins(self, name):
return self.new_pins[name]
def add_perimeter_target(self, side="all"): def add_perimeter_target(self, side="all"):
""" """

View File

@ -21,7 +21,7 @@ class supply_grid_router(router):
routes a grid to connect the supply on the two layers. routes a grid to connect the supply on the two layers.
""" """
def __init__(self, layers, design, margin=0, bbox=None): def __init__(self, layers, design, bbox=None, pin_type=None):
""" """
This will route on layers in design. It will get the blockages from This will route on layers in design. It will get the blockages from
either the gds file name or the design itself (by saving to a gds file). either the gds file name or the design itself (by saving to a gds file).

View File

@ -21,7 +21,7 @@ class supply_tree_router(router):
routes a grid to connect the supply on the two layers. routes a grid to connect the supply on the two layers.
""" """
def __init__(self, layers, design, bbox=None, side_pin=None): def __init__(self, layers, design, bbox=None, pin_type=None):
""" """
This will route on layers in design. It will get the blockages from This will route on layers in design. It will get the blockages from
either the gds file name or the design itself (by saving to a gds file). either the gds file name or the design itself (by saving to a gds file).
@ -33,7 +33,10 @@ class supply_tree_router(router):
# The pin escape router already made the bounding box big enough, # The pin escape router already made the bounding box big enough,
# so we can use the regular bbox here. # so we can use the regular bbox here.
self.side_pin = side_pin if pin_type:
debug.check(pin_type in ["left", "right", "top", "bottom", "single", "ring"],
"Invalid pin type {}".format(pin_type))
self.pin_type = pin_type
router.__init__(self, router.__init__(self,
layers, layers,
design, design,
@ -65,10 +68,13 @@ class supply_tree_router(router):
print_time("Finding pins and blockages", datetime.now(), start_time, 3) print_time("Finding pins and blockages", datetime.now(), start_time, 3)
# Add side pins if enabled # Add side pins if enabled
if self.side_pin: if self.pin_type in ["left", "right", "top", "bottom"]:
self.add_side_supply_pin(self.vdd_name) self.add_side_supply_pin(self.vdd_name, side=self.pin_type)
self.add_side_supply_pin(self.gnd_name) self.add_side_supply_pin(self.gnd_name, side=self.pin_type)
elif self.pin_type == "ring":
self.add_ring_supply_pin(self.vdd_name)
self.add_ring_supply_pin(self.gnd_name)
# Route the supply pins to the supply rails # Route the supply pins to the supply rails
# Route vdd first since we want it to be shorter # Route vdd first since we want it to be shorter
start_time = datetime.now() start_time = datetime.now()

View File

@ -5,9 +5,9 @@
# (acting for and on behalf of Oklahoma State University) # (acting for and on behalf of Oklahoma State University)
# All rights reserved. # All rights reserved.
# #
import debug
import math import math
class vector3d(): class vector3d():
""" """
This is the vector3d class to represent a 3D coordinate. This is the vector3d class to represent a 3D coordinate.
@ -22,20 +22,20 @@ class vector3d():
self.x = x[0] self.x = x[0]
self.y = x[1] self.y = x[1]
self.z = x[2] self.z = x[2]
#will take inputs as the values of a coordinate # will take inputs as the values of a coordinate
else: else:
self.x = x self.x = x
self.y = y self.y = y
self.z = z self.z = z
self._hash = hash((self.x,self.y,self.z)) self._hash = hash((self.x, self.y, self.z))
def __str__(self): def __str__(self):
""" override print function output """ """ override print function output """
return "v3d["+str(self.x)+", "+str(self.y)+", "+str(self.z)+"]" return "v3d[" + str(self.x) + ", " + str(self.y) + ", " + str(self.z) + "]"
def __repr__(self): def __repr__(self):
""" override print function output """ """ override print function output """
return "v3d["+str(self.x)+", "+str(self.y)+", "+str(self.z)+"]" return "v3d[" + str(self.x) + ", " + str(self.y) + ", " + str(self.z) + "]"
def __setitem__(self, index, value): def __setitem__(self, index, value):
""" """
@ -74,7 +74,6 @@ class vector3d():
""" """
return vector3d(self.x + other[0], self.y + other[1], self.z + other[2]) return vector3d(self.x + other[0], self.y + other[1], self.z + other[2])
def __radd__(self, other): def __radd__(self, other):
""" """
Override + function (right add) Override + function (right add)
@ -98,7 +97,6 @@ class vector3d():
""" """
return self._hash return self._hash
def __rsub__(self, other): def __rsub__(self, other):
""" """
Override - function (right) Override - function (right)
@ -107,7 +105,7 @@ class vector3d():
def rotate(self): def rotate(self):
""" pass a copy of rotated vector3d, without altering the vector3d! """ """ pass a copy of rotated vector3d, without altering the vector3d! """
return vector3d(self.y,self.x,self.z) return vector3d(self.y, self.x, self.z)
def scale(self, x_factor, y_factor=None,z_factor=None): def scale(self, x_factor, y_factor=None,z_factor=None):
""" pass a copy of scaled vector3d, without altering the vector3d! """ """ pass a copy of scaled vector3d, without altering the vector3d! """
@ -115,7 +113,7 @@ class vector3d():
z_factor=x_factor[2] z_factor=x_factor[2]
y_factor=x_factor[1] y_factor=x_factor[1]
x_factor=x_factor[0] x_factor=x_factor[0]
return vector3d(self.x*x_factor,self.y*y_factor,self.z*z_factor) return vector3d(self.x * x_factor, self.y * y_factor, self.z * z_factor)
def rotate_scale(self, x_factor, y_factor=None, z_factor=None): def rotate_scale(self, x_factor, y_factor=None, z_factor=None):
""" pass a copy of scaled vector3d, without altering the vector3d! """ """ pass a copy of scaled vector3d, without altering the vector3d! """
@ -123,25 +121,25 @@ class vector3d():
z_factor=x_factor[2] z_factor=x_factor[2]
y_factor=x_factor[1] y_factor=x_factor[1]
x_factor=x_factor[0] x_factor=x_factor[0]
return vector3d(self.y*x_factor,self.x*y_factor,self.z*z_factor) return vector3d(self.y * x_factor, self.x * y_factor, self.z * z_factor)
def floor(self): def floor(self):
""" """
Override floor function Override floor function
""" """
return vector3d(int(math.floor(self.x)),int(math.floor(self.y)), self.z) return vector3d(int(math.floor(self.x)), int(math.floor(self.y)), self.z)
def ceil(self): def ceil(self):
""" """
Override ceil function Override ceil function
""" """
return vector3d(int(math.ceil(self.x)),int(math.ceil(self.y)), self.z) return vector3d(int(math.ceil(self.x)), int(math.ceil(self.y)), self.z)
def round(self): def round(self):
""" """
Override round function Override round function
""" """
return vector3d(int(round(self.x)),int(round(self.y)), self.z) return vector3d(int(round(self.x)), int(round(self.y)), self.z)
def __eq__(self, other): def __eq__(self, other):
"""Override the default Equals behavior""" """Override the default Equals behavior"""
@ -164,30 +162,29 @@ class vector3d():
def max(self, other): def max(self, other):
""" Max of both values """ """ Max of both values """
return vector3d(max(self.x,other.x),max(self.y,other.y),max(self.z,other.z)) return vector3d(max(self.x, other.x), max(self.y, other.y), max(self.z, other.z))
def min(self, other): def min(self, other):
""" Min of both values """ """ Min of both values """
return vector3d(min(self.x,other.x),min(self.y,other.y),min(self.z,other.z)) return vector3d(min(self.x, other.x), min(self.y, other.y), min(self.z, other.z))
def distance(self, other): def distance(self, other):
""" Return the manhattan distance between two values """ """ Return the manhattan distance between two values """
return abs(self.x-other.x)+abs(self.y-other.y) return abs(self.x - other.x) + abs(self.y - other.y)
def euclidean_distance(self, other): def euclidean_distance(self, other):
""" Return the euclidean distance between two values """ """ Return the euclidean distance between two values """
return math.sqrt((self.x-other.x)**2+(self.y-other.y)**2) return math.sqrt((self.x - other.x)**2 + (self.y - other.y)**2)
def adjacent(self, other): def adjacent(self, other):
""" Is the one grid adjacent in any planar direction to the other """ """ Is the one grid adjacent in any planar direction to the other """
if self == other + vector3d(1,0,0): if self == other + vector3d(1, 0, 0):
return True return True
elif self == other + vector3d(-1,0,0): elif self == other + vector3d(-1, 0, 0):
return True return True
elif self == other + vector3d(0,1,0): elif self == other + vector3d(0, 1, 0):
return True return True
elif self == other + vector3d(0,-1,0): elif self == other + vector3d(0, -1, 0):
return True return True
else: else:
return False return False

View File

@ -24,12 +24,6 @@ class sram():
sram_config.set_local_config(self) sram_config.set_local_config(self)
# FIXME: adjust this to not directly change OPTS.
# Word-around to have values relevant to OPTS be displayed if not directly set.
OPTS.words_per_row = self.words_per_row
debug.info(1, "Changed OPTS wpr={}".format(self.words_per_row))
debug.info(1, "OPTS wpr={}".format(OPTS.words_per_row))
# reset the static duplicate name checker for unit tests # reset the static duplicate name checker for unit tests
# in case we create more than one SRAM # in case we create more than one SRAM
from design import design from design import design

View File

@ -9,6 +9,7 @@ from vector import vector
from sram_base import sram_base from sram_base import sram_base
from contact import m2_via from contact import m2_via
from channel_route import channel_route from channel_route import channel_route
from router_tech import router_tech
from globals import OPTS from globals import OPTS
@ -326,13 +327,34 @@ class sram_1bank(sram_base):
# they might create some blockages # they might create some blockages
self.add_layout_pins() self.add_layout_pins()
# Some technologies have an isolation
self.add_dnwell(inflate=2)
# We need the initial bbox for the supply rings later
# because the perimeter pins will change the bbox
# Route the pins to the perimeter # Route the pins to the perimeter
pre_bbox = None
if OPTS.perimeter_pins: if OPTS.perimeter_pins:
self.route_escape_pins() rt = router_tech(self.supply_stack, 1)
if OPTS.supply_pin_type in ["ring", "left", "right", "top", "bottom"]:
big_margin = 12 * rt.track_width
little_margin = 2 * rt.track_width
else:
big_margin = 6 * rt.track_width
little_margin = 0
pre_bbox = self.get_bbox(side="ring",
big_margin=rt.track_width)
bbox = self.get_bbox(side=OPTS.supply_pin_type,
big_margin=big_margin,
little_margin=little_margin)
self.route_escape_pins(bbox)
# Route the supplies first since the MST is not blockage aware # Route the supplies first since the MST is not blockage aware
# and signals can route to anywhere on sides (it is flexible) # and signals can route to anywhere on sides (it is flexible)
self.route_supplies() self.route_supplies(pre_bbox)
def route_dffs(self, add_routes=True): def route_dffs(self, add_routes=True):
@ -363,6 +385,7 @@ class sram_1bank(sram_base):
if len(route_map) > 0: if len(route_map) > 0:
# This layer stack must be different than the data dff layer stack
layer_stack = self.m1_stack layer_stack = self.m1_stack
if port == 0: if port == 0:
@ -372,11 +395,11 @@ class sram_1bank(sram_base):
offset=offset, offset=offset,
layer_stack=layer_stack, layer_stack=layer_stack,
parent=self) parent=self)
# This causes problem in magic since it sometimes cannot extract connectivity of isntances # This causes problem in magic since it sometimes cannot extract connectivity of instances
# with no active devices. # with no active devices.
self.add_inst(cr.name, cr) self.add_inst(cr.name, cr)
self.connect_inst([]) self.connect_inst([])
#self.add_flat_inst(cr.name, cr) # self.add_flat_inst(cr.name, cr)
else: else:
offset = vector(0, offset = vector(0,
self.bank.height + self.m3_pitch) self.bank.height + self.m3_pitch)
@ -384,11 +407,11 @@ class sram_1bank(sram_base):
offset=offset, offset=offset,
layer_stack=layer_stack, layer_stack=layer_stack,
parent=self) parent=self)
# This causes problem in magic since it sometimes cannot extract connectivity of isntances # This causes problem in magic since it sometimes cannot extract connectivity of instances
# with no active devices. # with no active devices.
self.add_inst(cr.name, cr) self.add_inst(cr.name, cr)
self.connect_inst([]) self.connect_inst([])
#self.add_flat_inst(cr.name, cr) # self.add_flat_inst(cr.name, cr)
def route_data_dffs(self, port, add_routes): def route_data_dffs(self, port, add_routes):
route_map = [] route_map = []
@ -419,40 +442,49 @@ class sram_1bank(sram_base):
if len(route_map) > 0: if len(route_map) > 0:
# The write masks will have blockages on M1 # This layer stack must be different than the column addr dff layer stack
# if self.num_wmasks > 0 and port in self.write_ports:
# layer_stack = self.m3_stack
# else:
# layer_stack = self.m1_stack
layer_stack = self.m3_stack layer_stack = self.m3_stack
if port == 0: if port == 0:
# This is relative to the bank at 0,0 or the s_en which is routed on M3 also
if "s_en" in self.control_logic_insts[port].mod.pin_map:
y_bottom = min(0, self.control_logic_insts[port].get_pin("s_en").by())
else:
y_bottom = 0
y_offset = y_bottom - self.data_bus_size[port] + 2 * self.m3_pitch
offset = vector(self.control_logic_insts[port].rx() + self.dff.width, offset = vector(self.control_logic_insts[port].rx() + self.dff.width,
- self.data_bus_size[port] + 2 * self.m3_pitch) y_offset)
cr = channel_route(netlist=route_map, cr = channel_route(netlist=route_map,
offset=offset, offset=offset,
layer_stack=layer_stack, layer_stack=layer_stack,
parent=self) parent=self)
if add_routes: if add_routes:
# This causes problem in magic since it sometimes cannot extract connectivity of isntances # This causes problem in magic since it sometimes cannot extract connectivity of instances
# with no active devices. # with no active devices.
self.add_inst(cr.name, cr) self.add_inst(cr.name, cr)
self.connect_inst([]) self.connect_inst([])
#self.add_flat_inst(cr.name, cr) # self.add_flat_inst(cr.name, cr)
else: else:
self.data_bus_size[port] = max(cr.height, self.col_addr_bus_size[port]) + self.data_bus_gap self.data_bus_size[port] = max(cr.height, self.col_addr_bus_size[port]) + self.data_bus_gap
else: else:
if "s_en" in self.control_logic_insts[port].mod.pin_map:
y_top = max(self.bank.height, self.control_logic_insts[port].get_pin("s_en").uy())
else:
y_top = self.bank.height
y_offset = y_top + self.m3_pitch
offset = vector(0, offset = vector(0,
self.bank.height + self.m3_pitch) y_offset)
cr = channel_route(netlist=route_map, cr = channel_route(netlist=route_map,
offset=offset, offset=offset,
layer_stack=layer_stack, layer_stack=layer_stack,
parent=self) parent=self)
if add_routes: if add_routes:
# This causes problem in magic since it sometimes cannot extract connectivity of isntances # This causes problem in magic since it sometimes cannot extract connectivity of instances
# with no active devices. # with no active devices.
self.add_inst(cr.name, cr) self.add_inst(cr.name, cr)
self.connect_inst([]) self.connect_inst([])
#self.add_flat_inst(cr.name, cr) # self.add_flat_inst(cr.name, cr)
else: else:
self.data_bus_size[port] = max(cr.height, self.col_addr_bus_size[port]) + self.data_bus_gap self.data_bus_size[port] = max(cr.height, self.col_addr_bus_size[port]) + self.data_bus_gap

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@ -15,6 +15,7 @@ from design import design
from verilog import verilog from verilog import verilog
from lef import lef from lef import lef
from sram_factory import factory from sram_factory import factory
from tech import spice, layer
class sram_base(design, verilog, lef): class sram_base(design, verilog, lef):
@ -40,6 +41,14 @@ class sram_base(design, verilog, lef):
if not self.num_spare_cols: if not self.num_spare_cols:
self.num_spare_cols = 0 self.num_spare_cols = 0
try:
from tech import power_grid
self.supply_stack = power_grid
except ImportError:
# if no power_grid is specified by tech we use sensible defaults
# Route a M3/M4 grid
self.supply_stack = self.m3_stack
def add_pins(self): def add_pins(self):
""" Add pins for entire SRAM. """ """ Add pins for entire SRAM. """
@ -81,8 +90,20 @@ class sram_base(design, verilog, lef):
for bit in range(self.word_size + self.num_spare_cols): for bit in range(self.word_size + self.num_spare_cols):
self.add_pin("dout{0}[{1}]".format(port, bit), "OUTPUT") self.add_pin("dout{0}[{1}]".format(port, bit), "OUTPUT")
self.add_pin("vdd", "POWER") # Standard supply and ground names
self.add_pin("gnd", "GROUND") try:
self.vdd_name = spice["power"]
except KeyError:
self.vdd_name = "vdd"
try:
self.gnd_name = spice["ground"]
except KeyError:
self.gnd_name = "gnd"
self.add_pin(self.vdd_name, "POWER")
self.add_pin(self.gnd_name, "GROUND")
self.ext_supplies = [self.vdd_name, self.gnd_name]
self.ext_supply = {"vdd" : self.vdd_name, "gnd" : self.gnd_name}
def add_global_pex_labels(self): def add_global_pex_labels(self):
""" """
@ -217,47 +238,15 @@ class sram_base(design, verilog, lef):
def create_modules(self): def create_modules(self):
debug.error("Must override pure virtual function.", -1) debug.error("Must override pure virtual function.", -1)
def route_supplies(self): def route_supplies(self, bbox=None):
""" Route the supply grid and connect the pins to them. """ """ Route the supply grid and connect the pins to them. """
# Copy the pins to the top level # Copy the pins to the top level
# This will either be used to route or left unconnected. # This will either be used to route or left unconnected.
for pin_name in ["vdd", "gnd"]: for pin_name in ["vdd", "gnd"]:
for inst in self.insts: for inst in self.insts:
self.copy_power_pins(inst, pin_name) self.copy_power_pins(inst, pin_name, self.ext_supply[pin_name])
try:
from tech import power_grid
grid_stack = power_grid
except ImportError:
# if no power_grid is specified by tech we use sensible defaults
# Route a M3/M4 grid
grid_stack = self.m3_stack
# lowest_coord = self.find_lowest_coords()
# highest_coord = self.find_highest_coords()
# # Add two rails to the side
# if OPTS.route_supplies == "side":
# supply_pins = {}
# # Find the lowest leftest pin for vdd and gnd
# for (pin_name, pin_index) in [("vdd", 0), ("gnd", 1)]:
# pin_width = 8 * getattr(self, "{}_width".format(grid_stack[2]))
# pin_space = 2 * getattr(self, "{}_space".format(grid_stack[2]))
# supply_pitch = pin_width + pin_space
# # Add side power rails on left from bottom to top
# # These have a temporary name and will be connected later.
# # They are here to reserve space now and ensure other pins go beyond
# # their perimeter.
# supply_height = highest_coord.y - lowest_coord.y
# supply_pins[pin_name] = self.add_layout_pin(text=pin_name,
# layer=grid_stack[2],
# offset=lowest_coord + vector(pin_index * supply_pitch, 0),
# width=pin_width,
# height=supply_height)
if not OPTS.route_supplies: if not OPTS.route_supplies:
# Do not route the power supply (leave as must-connect pins) # Do not route the power supply (leave as must-connect pins)
return return
@ -265,11 +254,14 @@ class sram_base(design, verilog, lef):
from supply_grid_router import supply_grid_router as router from supply_grid_router import supply_grid_router as router
else: else:
from supply_tree_router import supply_tree_router as router from supply_tree_router import supply_tree_router as router
rtr=router(layers=self.supply_stack,
design=self,
bbox=bbox,
pin_type=OPTS.supply_pin_type)
rtr=router(grid_stack, self, side_pin=(OPTS.route_supplies == "side"))
rtr.route() rtr.route()
if OPTS.route_supplies == "side": if OPTS.supply_pin_type in ["left", "right", "top", "bottom", "ring"]:
# Find the lowest leftest pin for vdd and gnd # Find the lowest leftest pin for vdd and gnd
for pin_name in ["vdd", "gnd"]: for pin_name in ["vdd", "gnd"]:
# Copy the pin shape(s) to rectangles # Copy the pin shape(s) to rectangles
@ -282,15 +274,16 @@ class sram_base(design, verilog, lef):
# Remove the pin shape(s) # Remove the pin shape(s)
self.remove_layout_pin(pin_name) self.remove_layout_pin(pin_name)
# Get the lowest, leftest pin # Get new pins
pin = rtr.get_ll_pin(pin_name) pins = rtr.get_new_pins(pin_name)
self.add_layout_pin(pin_name, for pin in pins:
pin.layer, self.add_layout_pin(self.ext_supply[pin_name],
pin.ll(), pin.layer,
pin.width(), pin.ll(),
pin.height()) pin.width(),
pin.height())
elif OPTS.route_supplies: elif OPTS.route_supplies and OPTS.supply_pin_type == "single":
# Update these as we may have routed outside the region (perimeter pins) # Update these as we may have routed outside the region (perimeter pins)
lowest_coord = self.find_lowest_coords() lowest_coord = self.find_lowest_coords()
@ -319,7 +312,7 @@ class sram_base(design, verilog, lef):
route_width, route_width,
pin.height()) pin.height())
self.add_layout_pin(pin_name, self.add_layout_pin(self.ext_supply[pin_name],
pin.layer, pin.layer,
pin_offset, pin_offset,
pin_width, pin_width,
@ -328,7 +321,7 @@ class sram_base(design, verilog, lef):
# Grid is left with many top level pins # Grid is left with many top level pins
pass pass
def route_escape_pins(self): def route_escape_pins(self, bbox):
""" """
Add the top-level pins for a single bank SRAM with control. Add the top-level pins for a single bank SRAM with control.
""" """
@ -371,7 +364,7 @@ class sram_base(design, verilog, lef):
from signal_escape_router import signal_escape_router as router from signal_escape_router import signal_escape_router as router
rtr=router(layers=self.m3_stack, rtr=router(layers=self.m3_stack,
design=self, design=self,
margin=8 * self.m3_pitch) bbox=bbox)
rtr.escape_route(pins_to_route) rtr.escape_route(pins_to_route)
def compute_bus_sizes(self): def compute_bus_sizes(self):
@ -479,6 +472,12 @@ class sram_base(design, verilog, lef):
self.bitcell = factory.create(module_type=OPTS.bitcell) self.bitcell = factory.create(module_type=OPTS.bitcell)
self.dff = factory.create(module_type="dff") self.dff = factory.create(module_type="dff")
# Create the bank module (up to four are instantiated)
self.bank = factory.create("bank", sram_config=self.sram_config, module_name="bank")
self.add_mod(self.bank)
self.num_spare_cols = self.bank.num_spare_cols
# Create the address and control flops (but not the clk) # Create the address and control flops (but not the clk)
self.row_addr_dff = factory.create("dff_array", module_name="row_addr_dff", rows=self.row_addr_size, columns=1) self.row_addr_dff = factory.create("dff_array", module_name="row_addr_dff", rows=self.row_addr_size, columns=1)
self.add_mod(self.row_addr_dff) self.add_mod(self.row_addr_dff)
@ -500,10 +499,6 @@ class sram_base(design, verilog, lef):
self.spare_wen_dff = factory.create("dff_array", module_name="spare_wen_dff", rows=1, columns=self.num_spare_cols) self.spare_wen_dff = factory.create("dff_array", module_name="spare_wen_dff", rows=1, columns=self.num_spare_cols)
self.add_mod(self.spare_wen_dff) self.add_mod(self.spare_wen_dff)
# Create the bank module (up to four are instantiated)
self.bank = factory.create("bank", sram_config=self.sram_config, module_name="bank")
self.add_mod(self.bank)
# Create bank decoder # Create bank decoder
if(self.num_banks > 1): if(self.num_banks > 1):
self.add_multi_bank_modules() self.add_multi_bank_modules()
@ -571,7 +566,7 @@ class sram_base(design, verilog, lef):
temp.append("bank_spare_wen{0}[{1}]".format(port, bit)) temp.append("bank_spare_wen{0}[{1}]".format(port, bit))
for port in self.all_ports: for port in self.all_ports:
temp.append("wl_en{0}".format(port)) temp.append("wl_en{0}".format(port))
temp.extend(["vdd", "gnd"]) temp.extend(self.ext_supplies)
self.connect_inst(temp) self.connect_inst(temp)
return self.bank_insts[-1] return self.bank_insts[-1]
@ -620,7 +615,7 @@ class sram_base(design, verilog, lef):
inputs.append("addr{}[{}]".format(port, bit + self.col_addr_size)) inputs.append("addr{}[{}]".format(port, bit + self.col_addr_size))
outputs.append("a{}[{}]".format(port, bit + self.col_addr_size)) outputs.append("a{}[{}]".format(port, bit + self.col_addr_size))
self.connect_inst(inputs + outputs + ["clk_buf{}".format(port), "vdd", "gnd"]) self.connect_inst(inputs + outputs + ["clk_buf{}".format(port)] + self.ext_supplies)
return insts return insts
@ -638,7 +633,7 @@ class sram_base(design, verilog, lef):
inputs.append("addr{}[{}]".format(port, bit)) inputs.append("addr{}[{}]".format(port, bit))
outputs.append("a{}[{}]".format(port, bit)) outputs.append("a{}[{}]".format(port, bit))
self.connect_inst(inputs + outputs + ["clk_buf{}".format(port), "vdd", "gnd"]) self.connect_inst(inputs + outputs + ["clk_buf{}".format(port)] + self.ext_supplies)
return insts return insts
@ -660,7 +655,7 @@ class sram_base(design, verilog, lef):
inputs.append("din{}[{}]".format(port, bit)) inputs.append("din{}[{}]".format(port, bit))
outputs.append("bank_din{}[{}]".format(port, bit)) outputs.append("bank_din{}[{}]".format(port, bit))
self.connect_inst(inputs + outputs + ["clk_buf{}".format(port), "vdd", "gnd"]) self.connect_inst(inputs + outputs + ["clk_buf{}".format(port)] + self.ext_supplies)
return insts return insts
@ -682,7 +677,7 @@ class sram_base(design, verilog, lef):
inputs.append("wmask{}[{}]".format(port, bit)) inputs.append("wmask{}[{}]".format(port, bit))
outputs.append("bank_wmask{}[{}]".format(port, bit)) outputs.append("bank_wmask{}[{}]".format(port, bit))
self.connect_inst(inputs + outputs + ["clk_buf{}".format(port), "vdd", "gnd"]) self.connect_inst(inputs + outputs + ["clk_buf{}".format(port)] + self.ext_supplies)
return insts return insts
@ -704,7 +699,7 @@ class sram_base(design, verilog, lef):
inputs.append("spare_wen{}[{}]".format(port, bit)) inputs.append("spare_wen{}[{}]".format(port, bit))
outputs.append("bank_spare_wen{}[{}]".format(port, bit)) outputs.append("bank_spare_wen{}[{}]".format(port, bit))
self.connect_inst(inputs + outputs + ["clk_buf{}".format(port), "vdd", "gnd"]) self.connect_inst(inputs + outputs + ["clk_buf{}".format(port)] + self.ext_supplies)
return insts return insts
@ -735,7 +730,7 @@ class sram_base(design, verilog, lef):
if port in self.write_ports: if port in self.write_ports:
temp.append("w_en{}".format(port)) temp.append("w_en{}".format(port))
temp.append("p_en_bar{}".format(port)) temp.append("p_en_bar{}".format(port))
temp.extend(["wl_en{}".format(port), "clk_buf{}".format(port), "vdd", "gnd"]) temp.extend(["wl_en{}".format(port), "clk_buf{}".format(port)] + self.ext_supplies)
self.connect_inst(temp) self.connect_inst(temp)
return insts return insts

View File

@ -63,6 +63,11 @@ class sram_config:
self.recompute_sizes() self.recompute_sizes()
# Set word_per_row in OPTS
OPTS.words_per_row = self.words_per_row
debug.info(1, "Set SRAM Words Per Row={}".format(OPTS.words_per_row))
def recompute_sizes(self): def recompute_sizes(self):
""" """
Calculate the auxiliary values assuming fixed number of words per row. Calculate the auxiliary values assuming fixed number of words per row.

View File

@ -50,7 +50,11 @@ class timing_sram_test(openram_test):
import tech import tech
loads = [tech.spice["dff_in_cap"]*4] loads = [tech.spice["dff_in_cap"]*4]
slews = [tech.spice["rise_time"]*2] slews = [tech.spice["rise_time"]*2]
data, port_data = d.analyze(probe_address, probe_data, slews, loads) load_slews = []
for slew in slews:
for load in loads:
load_slews.append((load, slew))
data, port_data = d.analyze(probe_address, probe_data, load_slews)
#Combine info about port into all data #Combine info about port into all data
data.update(port_data[0]) data.update(port_data[0])

View File

@ -45,8 +45,8 @@ class timing_setup_test(openram_test):
'setup_times_HL': [0.16357419999999998], 'setup_times_HL': [0.16357419999999998],
'setup_times_LH': [0.1757812]} 'setup_times_LH': [0.1757812]}
elif OPTS.tech_name == "sky130": elif OPTS.tech_name == "sky130":
golden_data = {'hold_times_HL': [-0.05615234], golden_data = {'hold_times_HL': [-0.03173828],
'hold_times_LH': [-0.03173828], 'hold_times_LH': [-0.05615234],
'setup_times_HL': [0.078125], 'setup_times_HL': [0.078125],
'setup_times_LH': [0.1025391]} 'setup_times_LH': [0.1025391]}
else: else:

View File

@ -55,13 +55,17 @@ class model_delay_test(openram_test):
import tech import tech
loads = [tech.spice["dff_in_cap"]*4] loads = [tech.spice["dff_in_cap"]*4]
slews = [tech.spice["rise_time"]*2] slews = [tech.spice["rise_time"]*2]
load_slews = []
for slew in slews:
for load in loads:
load_slews.append((load, slew))
# Run a spice characterization # Run a spice characterization
spice_data, port_data = d.analyze(probe_address, probe_data, slews, loads) spice_data, port_data = d.analyze(probe_address, probe_data, load_slews)
spice_data.update(port_data[0]) spice_data.update(port_data[0])
# Run analytical characterization # Run analytical characterization
model_data, port_data = m.get_lib_values(slews, loads) model_data, port_data = m.get_lib_values(load_slews)
model_data.update(port_data[0]) model_data.update(port_data[0])
# Only compare the delays # Only compare the delays
@ -79,6 +83,9 @@ class model_delay_test(openram_test):
else: else:
self.assertTrue(False) # other techs fail self.assertTrue(False) # other techs fail
print('spice_delays', spice_delays)
print('model_delays', model_delays)
# Check if no too many or too few results # Check if no too many or too few results
self.assertTrue(len(spice_delays.keys())==len(model_delays.keys())) self.assertTrue(len(spice_delays.keys())==len(model_delays.keys()))

View File

@ -51,7 +51,11 @@ class timing_sram_test(openram_test):
import tech import tech
loads = [tech.spice["dff_in_cap"]*4] loads = [tech.spice["dff_in_cap"]*4]
slews = [tech.spice["rise_time"]*2] slews = [tech.spice["rise_time"]*2]
data, port_data = d.analyze(probe_address, probe_data, slews, loads) load_slews = []
for slew in slews:
for load in loads:
load_slews.append((load, slew))
data, port_data = d.analyze(probe_address, probe_data, load_slews)
#Combine info about port into all data #Combine info about port into all data
data.update(port_data[0]) data.update(port_data[0])

View File

@ -58,7 +58,11 @@ class timing_sram_test(openram_test):
import tech import tech
loads = [tech.spice["dff_in_cap"]*4] loads = [tech.spice["dff_in_cap"]*4]
slews = [tech.spice["rise_time"]*2] slews = [tech.spice["rise_time"]*2]
data, port_data = d.analyze(probe_address, probe_data, slews, loads) load_slews = []
for slew in slews:
for load in loads:
load_slews.append((load, slew))
data, port_data = d.analyze(probe_address, probe_data, load_slews)
#Combine info about port into all data #Combine info about port into all data
data.update(port_data[0]) data.update(port_data[0])

View File

@ -50,7 +50,11 @@ class timing_sram_test(openram_test):
import tech import tech
loads = [tech.spice["dff_in_cap"]*4] loads = [tech.spice["dff_in_cap"]*4]
slews = [tech.spice["rise_time"]*2] slews = [tech.spice["rise_time"]*2]
data, port_data = d.analyze(probe_address, probe_data, slews, loads) load_slews = []
for slew in slews:
for load in loads:
load_slews.append((load, slew))
data, port_data = d.analyze(probe_address, probe_data, load_slews)
#Combine info about port into all data #Combine info about port into all data
data.update(port_data[0]) data.update(port_data[0])

View File

@ -45,8 +45,8 @@ class timing_setup_test(openram_test):
'setup_times_HL': [0.1757812], 'setup_times_HL': [0.1757812],
'setup_times_LH': [0.1879883]} 'setup_times_LH': [0.1879883]}
elif OPTS.tech_name == "sky130": elif OPTS.tech_name == "sky130":
golden_data = {'hold_times_HL': [-0.05615234], golden_data = {'hold_times_HL': [-0.03173828],
'hold_times_LH': [-0.03173828], 'hold_times_LH': [-0.05615234],
'setup_times_HL': [0.078125], 'setup_times_HL': [0.078125],
'setup_times_LH': [0.1025391]} 'setup_times_LH': [0.1025391]}
else: else:

View File

@ -51,7 +51,11 @@ class timing_sram_test(openram_test):
import tech import tech
loads = [tech.spice["dff_in_cap"]*4] loads = [tech.spice["dff_in_cap"]*4]
slews = [tech.spice["rise_time"]*2] slews = [tech.spice["rise_time"]*2]
data, port_data = d.analyze(probe_address, probe_data, slews, loads) load_slews = []
for slew in slews:
for load in loads:
load_slews.append((load, slew))
data, port_data = d.analyze(probe_address, probe_data, load_slews)
# Combine info about port into all data # Combine info about port into all data
data.update(port_data[0]) data.update(port_data[0])

View File

@ -45,8 +45,8 @@ class timing_setup_test(openram_test):
'setup_times_HL': [0.16357419999999998], 'setup_times_HL': [0.16357419999999998],
'setup_times_LH': [0.1757812]} 'setup_times_LH': [0.1757812]}
elif OPTS.tech_name == "sky130": elif OPTS.tech_name == "sky130":
golden_data = {'hold_times_HL': [-0.05615234], golden_data = {'hold_times_HL': [-0.03173828],
'hold_times_LH': [-0.03173828], 'hold_times_LH': [-0.05615234],
'setup_times_HL': [0.078125], 'setup_times_HL': [0.078125],
'setup_times_LH': [0.1025391]} 'setup_times_LH': [0.1025391]}
else: else:

View File

@ -89,7 +89,10 @@ def write_drc_script(cell_name, gds_name, extract, final_verification, output_pa
f.write("{} -dnull -noconsole << EOF\n".format(OPTS.drc_exe[1])) f.write("{} -dnull -noconsole << EOF\n".format(OPTS.drc_exe[1]))
# Do not run DRC for extraction/conversion # Do not run DRC for extraction/conversion
f.write("drc off\n") f.write("drc off\n")
f.write("gds polygon subcell true\n") f.write("set VDD vdd\n")
f.write("set GND gnd\n")
f.write("set SUB gnd\n")
#f.write("gds polygon subcell true\n")
f.write("gds warning default\n") f.write("gds warning default\n")
# These two options are temporarily disabled until Tim fixes a bug in magic related # These two options are temporarily disabled until Tim fixes a bug in magic related
# to flattening channel routes and vias (hierarchy with no devices in it). Otherwise, # to flattening channel routes and vias (hierarchy with no devices in it). Otherwise,
@ -177,6 +180,10 @@ def write_drc_script(cell_name, gds_name, extract, final_verification, output_pa
f.write('puts "Finished drc check"\n') f.write('puts "Finished drc check"\n')
f.write("drc catchup\n") f.write("drc catchup\n")
f.write('puts "Finished drc catchup"\n') f.write('puts "Finished drc catchup"\n')
# This is needed instead of drc count total because it displays
# some errors that are not "DRC" errors.
# f.write("puts -nonewline \"Total DRC errors found: \"\n")
# f.write("puts stdout [drc listall count total]\n")
f.write("drc count total\n") f.write("drc count total\n")
f.write("quit -noprompt\n") f.write("quit -noprompt\n")
f.write("EOF\n") f.write("EOF\n")
@ -244,11 +251,14 @@ def write_lvs_script(cell_name, gds_name, sp_name, final_verification=False, out
if not output_path: if not output_path:
output_path = OPTS.openram_temp output_path = OPTS.openram_temp
setup_file = "setup.tcl" # Copy .magicrc file into the output directory
full_setup_file = OPTS.openram_tech + "tech/" + setup_file setup_file = os.environ.get('OPENRAM_NETGENRC', None)
if os.path.exists(full_setup_file): if not setup_file:
setup_file = OPTS.openram_tech + "tech/setup.tcl"
if os.path.exists(setup_file):
# Copy setup.tcl file into temp dir # Copy setup.tcl file into temp dir
shutil.copy(full_setup_file, output_path) shutil.copy(setup_file, output_path)
else: else:
setup_file = 'nosetup' setup_file = 'nosetup'

View File

@ -1,217 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,fall_delay
64,3,4,922,FF,1.0,25,0.00125,0.052275,0.25498
64,3,4,922,FF,1.0,25,0.00125,0.2091,0.25622
64,3,4,922,FF,1.0,25,0.00125,0.8364,0.26145999999999997
64,3,4,922,FF,1.0,25,0.005,0.052275,0.25553
64,3,4,922,FF,1.0,25,0.005,0.2091,0.25679
64,3,4,922,FF,1.0,25,0.005,0.8364,0.26204
64,3,4,922,FF,1.0,25,0.04,0.052275,0.26091
64,3,4,922,FF,1.0,25,0.04,0.2091,0.26221
64,3,4,922,FF,1.0,25,0.04,0.8364,0.26743
64,3,4,922,SS,1.0,25,0.00125,0.052275,0.31658000000000003
64,3,4,922,SS,1.0,25,0.00125,0.2091,0.31839
64,3,4,922,SS,1.0,25,0.00125,0.8364,0.32593
64,3,4,922,SS,1.0,25,0.005,0.052275,0.31714
64,3,4,922,SS,1.0,25,0.005,0.2091,0.31899
64,3,4,922,SS,1.0,25,0.005,0.8364,0.32621
64,3,4,922,SS,1.0,25,0.04,0.052275,0.32362
64,3,4,922,SS,1.0,25,0.04,0.2091,0.32575
64,3,4,922,SS,1.0,25,0.04,0.8364,0.33302
64,3,4,922,TT,1.0,25,0.00125,0.052275,0.28139
64,3,4,922,TT,1.0,25,0.00125,0.2091,0.2828
64,3,4,922,TT,1.0,25,0.00125,0.8364,0.28887999999999997
64,3,4,922,TT,1.0,25,0.005,0.052275,0.28178
64,3,4,922,TT,1.0,25,0.005,0.2091,0.28296000000000004
64,3,4,922,TT,1.0,25,0.005,0.8364,0.28944
64,3,4,922,TT,1.0,25,0.04,0.052275,0.28772000000000003
64,3,4,922,TT,1.0,25,0.04,0.2091,0.28927
64,3,4,922,TT,1.0,25,0.04,0.8364,0.29542
64,2,4,780,FF,1.0,25,0.00125,0.052275,0.25365
64,2,4,780,FF,1.0,25,0.00125,0.2091,0.25494
64,2,4,780,FF,1.0,25,0.00125,0.8364,0.26016
64,2,4,780,FF,1.0,25,0.005,0.052275,0.25412999999999997
64,2,4,780,FF,1.0,25,0.005,0.2091,0.25533
64,2,4,780,FF,1.0,25,0.005,0.8364,0.26065000000000005
64,2,4,780,FF,1.0,25,0.04,0.052275,0.25889
64,2,4,780,FF,1.0,25,0.04,0.2091,0.26022
64,2,4,780,FF,1.0,25,0.04,0.8364,0.26556
64,2,4,780,SS,1.0,25,0.00125,0.052275,0.31452
64,2,4,780,SS,1.0,25,0.00125,0.2091,0.3165
64,2,4,780,SS,1.0,25,0.00125,0.8364,0.32376
64,2,4,780,SS,1.0,25,0.005,0.052275,0.31516
64,2,4,780,SS,1.0,25,0.005,0.2091,0.31709
64,2,4,780,SS,1.0,25,0.005,0.8364,0.32435
64,2,4,780,SS,1.0,25,0.04,0.052275,0.32149999999999995
64,2,4,780,SS,1.0,25,0.04,0.2091,0.32315
64,2,4,780,SS,1.0,25,0.04,0.8364,0.33074
64,2,4,780,TT,1.0,25,0.00125,0.052275,0.27948999999999996
64,2,4,780,TT,1.0,25,0.00125,0.2091,0.28136999999999995
64,2,4,780,TT,1.0,25,0.00125,0.8364,0.28725
64,2,4,780,TT,1.0,25,0.005,0.052275,0.28032
64,2,4,780,TT,1.0,25,0.005,0.2091,0.28179000000000004
64,2,4,780,TT,1.0,25,0.005,0.8364,0.28813
64,2,4,780,TT,1.0,25,0.04,0.052275,0.28549
64,2,4,780,TT,1.0,25,0.04,0.2091,0.28752
64,2,4,780,TT,1.0,25,0.04,0.8364,0.29366
32,1,2,584,FF,1.0,25,0.00125,0.052275,0.23641
32,1,2,584,FF,1.0,25,0.00125,0.2091,0.23782999999999999
32,1,2,584,FF,1.0,25,0.00125,0.8364,0.24323999999999998
32,1,2,584,FF,1.0,25,0.005,0.052275,0.23717000000000002
32,1,2,584,FF,1.0,25,0.005,0.2091,0.23853
32,1,2,584,FF,1.0,25,0.005,0.8364,0.2437
32,1,2,584,FF,1.0,25,0.04,0.052275,0.24194
32,1,2,584,FF,1.0,25,0.04,0.2091,0.2432
32,1,2,584,FF,1.0,25,0.04,0.8364,0.2486
32,1,2,584,SS,1.0,25,0.00125,0.052275,0.29381
32,1,2,584,SS,1.0,25,0.00125,0.2091,0.29564
32,1,2,584,SS,1.0,25,0.00125,0.8364,0.30294
32,1,2,584,SS,1.0,25,0.005,0.052275,0.2943
32,1,2,584,SS,1.0,25,0.005,0.2091,0.29651999999999995
32,1,2,584,SS,1.0,25,0.005,0.8364,0.30362
32,1,2,584,SS,1.0,25,0.04,0.052275,0.30057
32,1,2,584,SS,1.0,25,0.04,0.2091,0.30256
32,1,2,584,SS,1.0,25,0.04,0.8364,0.30998
32,1,2,584,TT,1.0,25,0.00125,0.052275,0.26071
32,1,2,584,TT,1.0,25,0.00125,0.2091,0.26230000000000003
32,1,2,584,TT,1.0,25,0.00125,0.8364,0.26844999999999997
32,1,2,584,TT,1.0,25,0.005,0.052275,0.26130000000000003
32,1,2,584,TT,1.0,25,0.005,0.2091,0.26276
32,1,2,584,TT,1.0,25,0.005,0.8364,0.26908000000000004
32,1,2,584,TT,1.0,25,0.04,0.052275,0.26691000000000004
32,1,2,584,TT,1.0,25,0.04,0.2091,0.26833
32,1,2,584,TT,1.0,25,0.04,0.8364,0.27488
32,2,2,642,FF,1.0,25,0.00125,0.052275,0.23962999999999998
32,2,2,642,FF,1.0,25,0.00125,0.2091,0.24112
32,2,2,642,FF,1.0,25,0.00125,0.8364,0.24631
32,2,2,642,FF,1.0,25,0.005,0.052275,0.24009999999999998
32,2,2,642,FF,1.0,25,0.005,0.2091,0.24160000000000004
32,2,2,642,FF,1.0,25,0.005,0.8364,0.24684
32,2,2,642,FF,1.0,25,0.04,0.052275,0.24514999999999998
32,2,2,642,FF,1.0,25,0.04,0.2091,0.24680000000000002
32,2,2,642,FF,1.0,25,0.04,0.8364,0.2518
32,2,2,642,SS,1.0,25,0.00125,0.052275,0.298
32,2,2,642,SS,1.0,25,0.00125,0.2091,0.29993000000000003
32,2,2,642,SS,1.0,25,0.00125,0.8364,0.30740999999999996
32,2,2,642,SS,1.0,25,0.005,0.052275,0.29886
32,2,2,642,SS,1.0,25,0.005,0.2091,0.30074
32,2,2,642,SS,1.0,25,0.005,0.8364,0.30826
32,2,2,642,SS,1.0,25,0.04,0.052275,0.30518
32,2,2,642,SS,1.0,25,0.04,0.2091,0.30701
32,2,2,642,SS,1.0,25,0.04,0.8364,0.3144
32,2,2,642,TT,1.0,25,0.00125,0.052275,0.26469
32,2,2,642,TT,1.0,25,0.00125,0.2091,0.26608
32,2,2,642,TT,1.0,25,0.00125,0.8364,0.27228
32,2,2,642,TT,1.0,25,0.005,0.052275,0.26508
32,2,2,642,TT,1.0,25,0.005,0.2091,0.26661
32,2,2,642,TT,1.0,25,0.005,0.8364,0.27302
32,2,2,642,TT,1.0,25,0.04,0.052275,0.27074
32,2,2,642,TT,1.0,25,0.04,0.2091,0.27229
32,2,2,642,TT,1.0,25,0.04,0.8364,0.27856000000000003
16,2,1,545,FF,1.0,25,0.00125,0.052275,0.20774
16,2,1,545,FF,1.0,25,0.00125,0.2091,0.20883
16,2,1,545,FF,1.0,25,0.00125,0.8364,0.21308
16,2,1,545,FF,1.0,25,0.005,0.052275,0.20826
16,2,1,545,FF,1.0,25,0.005,0.2091,0.20935
16,2,1,545,FF,1.0,25,0.005,0.8364,0.21361
16,2,1,545,FF,1.0,25,0.04,0.052275,0.21305000000000002
16,2,1,545,FF,1.0,25,0.04,0.2091,0.21434999999999998
16,2,1,545,FF,1.0,25,0.04,0.8364,0.21861999999999998
16,2,1,545,SS,1.0,25,0.00125,0.052275,0.25171
16,2,1,545,SS,1.0,25,0.00125,0.2091,0.25345
16,2,1,545,SS,1.0,25,0.00125,0.8364,0.25919000000000003
16,2,1,545,SS,1.0,25,0.005,0.052275,0.25259
16,2,1,545,SS,1.0,25,0.005,0.2091,0.25406
16,2,1,545,SS,1.0,25,0.005,0.8364,0.26003
16,2,1,545,SS,1.0,25,0.04,0.052275,0.2589
16,2,1,545,SS,1.0,25,0.04,0.2091,0.26036000000000004
16,2,1,545,SS,1.0,25,0.04,0.8364,0.26641000000000004
16,2,1,545,TT,1.0,25,0.00125,0.052275,0.22749999999999998
16,2,1,545,TT,1.0,25,0.00125,0.2091,0.22874
16,2,1,545,TT,1.0,25,0.00125,0.8364,0.23365000000000002
16,2,1,545,TT,1.0,25,0.005,0.052275,0.22791
16,2,1,545,TT,1.0,25,0.005,0.2091,0.22928
16,2,1,545,TT,1.0,25,0.005,0.8364,0.23424
16,2,1,545,TT,1.0,25,0.04,0.052275,0.23372999999999997
16,2,1,545,TT,1.0,25,0.04,0.2091,0.23488000000000003
16,2,1,545,TT,1.0,25,0.04,0.8364,0.23993000000000003
16,3,1,577,FF,1.0,25,0.00125,0.052275,0.2099
16,3,1,577,FF,1.0,25,0.00125,0.2091,0.21104
16,3,1,577,FF,1.0,25,0.00125,0.8364,0.21528
16,3,1,577,FF,1.0,25,0.005,0.052275,0.21069
16,3,1,577,FF,1.0,25,0.005,0.2091,0.21178
16,3,1,577,FF,1.0,25,0.005,0.8364,0.21605
16,3,1,577,FF,1.0,25,0.04,0.052275,0.21550999999999998
16,3,1,577,FF,1.0,25,0.04,0.2091,0.21662
16,3,1,577,FF,1.0,25,0.04,0.8364,0.22065
16,3,1,577,SS,1.0,25,0.00125,0.052275,0.25471
16,3,1,577,SS,1.0,25,0.00125,0.2091,0.25597
16,3,1,577,SS,1.0,25,0.00125,0.8364,0.2622
16,3,1,577,SS,1.0,25,0.005,0.052275,0.25558000000000003
16,3,1,577,SS,1.0,25,0.005,0.2091,0.25673
16,3,1,577,SS,1.0,25,0.005,0.8364,0.26284
16,3,1,577,SS,1.0,25,0.04,0.052275,0.26176
16,3,1,577,SS,1.0,25,0.04,0.2091,0.26276
16,3,1,577,SS,1.0,25,0.04,0.8364,0.26884
16,3,1,577,TT,1.0,25,0.00125,0.052275,0.2299
16,3,1,577,TT,1.0,25,0.00125,0.2091,0.2311
16,3,1,577,TT,1.0,25,0.00125,0.8364,0.23639
16,3,1,577,TT,1.0,25,0.005,0.052275,0.23051
16,3,1,577,TT,1.0,25,0.005,0.2091,0.23177999999999999
16,3,1,577,TT,1.0,25,0.005,0.8364,0.23668
16,3,1,577,TT,1.0,25,0.04,0.052275,0.23592
16,3,1,577,TT,1.0,25,0.04,0.2091,0.23736999999999997
16,3,1,577,TT,1.0,25,0.04,0.8364,0.24238999999999997
32,3,2,701,FF,1.0,25,0.00125,0.052275,0.24361999999999998
32,3,2,701,FF,1.0,25,0.00125,0.2091,0.24481
32,3,2,701,FF,1.0,25,0.00125,0.8364,0.25027
32,3,2,701,FF,1.0,25,0.005,0.052275,0.24414
32,3,2,701,FF,1.0,25,0.005,0.2091,0.24541
32,3,2,701,FF,1.0,25,0.005,0.8364,0.25079
32,3,2,701,FF,1.0,25,0.04,0.052275,0.24897000000000002
32,3,2,701,FF,1.0,25,0.04,0.2091,0.25027
32,3,2,701,FF,1.0,25,0.04,0.8364,0.25566
32,3,2,701,SS,1.0,25,0.00125,0.052275,0.30235
32,3,2,701,SS,1.0,25,0.00125,0.2091,0.30436
32,3,2,701,SS,1.0,25,0.00125,0.8364,0.31167
32,3,2,701,SS,1.0,25,0.005,0.052275,0.30313
32,3,2,701,SS,1.0,25,0.005,0.2091,0.30508
32,3,2,701,SS,1.0,25,0.005,0.8364,0.31239
32,3,2,701,SS,1.0,25,0.04,0.052275,0.30959000000000003
32,3,2,701,SS,1.0,25,0.04,0.2091,0.31098
32,3,2,701,SS,1.0,25,0.04,0.8364,0.31853
32,3,2,701,TT,1.0,25,0.00125,0.052275,0.26874
32,3,2,701,TT,1.0,25,0.00125,0.2091,0.27017
32,3,2,701,TT,1.0,25,0.00125,0.8364,0.27657
32,3,2,701,TT,1.0,25,0.005,0.052275,0.26937
32,3,2,701,TT,1.0,25,0.005,0.2091,0.27088
32,3,2,701,TT,1.0,25,0.005,0.8364,0.27708
32,3,2,701,TT,1.0,25,0.04,0.052275,0.2749
32,3,2,701,TT,1.0,25,0.04,0.2091,0.27648
32,3,2,701,TT,1.0,25,0.04,0.8364,0.28285
16,1,1,512,FF,1.0,25,0.00125,0.052275,0.21178
16,1,1,512,FF,1.0,25,0.00125,0.2091,0.21289
16,1,1,512,FF,1.0,25,0.00125,0.8364,0.21739999999999998
16,1,1,512,FF,1.0,25,0.005,0.052275,0.21234
16,1,1,512,FF,1.0,25,0.005,0.2091,0.21344
16,1,1,512,FF,1.0,25,0.005,0.8364,0.21807
16,1,1,512,FF,1.0,25,0.04,0.052275,0.21609
16,1,1,512,FF,1.0,25,0.04,0.2091,0.21733
16,1,1,512,FF,1.0,25,0.04,0.8364,0.22167
16,1,1,512,SS,1.0,25,0.00125,0.052275,0.25711999999999996
16,1,1,512,SS,1.0,25,0.00125,0.2091,0.25864
16,1,1,512,SS,1.0,25,0.00125,0.8364,0.26446
16,1,1,512,SS,1.0,25,0.005,0.052275,0.25783
16,1,1,512,SS,1.0,25,0.005,0.2091,0.25905999999999996
16,1,1,512,SS,1.0,25,0.005,0.8364,0.26514
16,1,1,512,SS,1.0,25,0.04,0.052275,0.26306
16,1,1,512,SS,1.0,25,0.04,0.2091,0.26462
16,1,1,512,SS,1.0,25,0.04,0.8364,0.27044999999999997
16,1,1,512,TT,1.0,25,0.00125,0.052275,0.23172
16,1,1,512,TT,1.0,25,0.00125,0.2091,0.23336
16,1,1,512,TT,1.0,25,0.00125,0.8364,0.23824
16,1,1,512,TT,1.0,25,0.005,0.052275,0.23241
16,1,1,512,TT,1.0,25,0.005,0.2091,0.23397
16,1,1,512,TT,1.0,25,0.005,0.8364,0.23889
16,1,1,512,TT,1.0,25,0.04,0.052275,0.23715
16,1,1,512,TT,1.0,25,0.04,0.2091,0.2385
16,1,1,512,TT,1.0,25,0.04,0.8364,0.24325000000000002
1 num_words word_size words_per_row area process voltage temperature slew load fall_delay
2 64 3 4 922 FF 1.0 25 0.00125 0.052275 0.25498
3 64 3 4 922 FF 1.0 25 0.00125 0.2091 0.25622
4 64 3 4 922 FF 1.0 25 0.00125 0.8364 0.26145999999999997
5 64 3 4 922 FF 1.0 25 0.005 0.052275 0.25553
6 64 3 4 922 FF 1.0 25 0.005 0.2091 0.25679
7 64 3 4 922 FF 1.0 25 0.005 0.8364 0.26204
8 64 3 4 922 FF 1.0 25 0.04 0.052275 0.26091
9 64 3 4 922 FF 1.0 25 0.04 0.2091 0.26221
10 64 3 4 922 FF 1.0 25 0.04 0.8364 0.26743
11 64 3 4 922 SS 1.0 25 0.00125 0.052275 0.31658000000000003
12 64 3 4 922 SS 1.0 25 0.00125 0.2091 0.31839
13 64 3 4 922 SS 1.0 25 0.00125 0.8364 0.32593
14 64 3 4 922 SS 1.0 25 0.005 0.052275 0.31714
15 64 3 4 922 SS 1.0 25 0.005 0.2091 0.31899
16 64 3 4 922 SS 1.0 25 0.005 0.8364 0.32621
17 64 3 4 922 SS 1.0 25 0.04 0.052275 0.32362
18 64 3 4 922 SS 1.0 25 0.04 0.2091 0.32575
19 64 3 4 922 SS 1.0 25 0.04 0.8364 0.33302
20 64 3 4 922 TT 1.0 25 0.00125 0.052275 0.28139
21 64 3 4 922 TT 1.0 25 0.00125 0.2091 0.2828
22 64 3 4 922 TT 1.0 25 0.00125 0.8364 0.28887999999999997
23 64 3 4 922 TT 1.0 25 0.005 0.052275 0.28178
24 64 3 4 922 TT 1.0 25 0.005 0.2091 0.28296000000000004
25 64 3 4 922 TT 1.0 25 0.005 0.8364 0.28944
26 64 3 4 922 TT 1.0 25 0.04 0.052275 0.28772000000000003
27 64 3 4 922 TT 1.0 25 0.04 0.2091 0.28927
28 64 3 4 922 TT 1.0 25 0.04 0.8364 0.29542
29 64 2 4 780 FF 1.0 25 0.00125 0.052275 0.25365
30 64 2 4 780 FF 1.0 25 0.00125 0.2091 0.25494
31 64 2 4 780 FF 1.0 25 0.00125 0.8364 0.26016
32 64 2 4 780 FF 1.0 25 0.005 0.052275 0.25412999999999997
33 64 2 4 780 FF 1.0 25 0.005 0.2091 0.25533
34 64 2 4 780 FF 1.0 25 0.005 0.8364 0.26065000000000005
35 64 2 4 780 FF 1.0 25 0.04 0.052275 0.25889
36 64 2 4 780 FF 1.0 25 0.04 0.2091 0.26022
37 64 2 4 780 FF 1.0 25 0.04 0.8364 0.26556
38 64 2 4 780 SS 1.0 25 0.00125 0.052275 0.31452
39 64 2 4 780 SS 1.0 25 0.00125 0.2091 0.3165
40 64 2 4 780 SS 1.0 25 0.00125 0.8364 0.32376
41 64 2 4 780 SS 1.0 25 0.005 0.052275 0.31516
42 64 2 4 780 SS 1.0 25 0.005 0.2091 0.31709
43 64 2 4 780 SS 1.0 25 0.005 0.8364 0.32435
44 64 2 4 780 SS 1.0 25 0.04 0.052275 0.32149999999999995
45 64 2 4 780 SS 1.0 25 0.04 0.2091 0.32315
46 64 2 4 780 SS 1.0 25 0.04 0.8364 0.33074
47 64 2 4 780 TT 1.0 25 0.00125 0.052275 0.27948999999999996
48 64 2 4 780 TT 1.0 25 0.00125 0.2091 0.28136999999999995
49 64 2 4 780 TT 1.0 25 0.00125 0.8364 0.28725
50 64 2 4 780 TT 1.0 25 0.005 0.052275 0.28032
51 64 2 4 780 TT 1.0 25 0.005 0.2091 0.28179000000000004
52 64 2 4 780 TT 1.0 25 0.005 0.8364 0.28813
53 64 2 4 780 TT 1.0 25 0.04 0.052275 0.28549
54 64 2 4 780 TT 1.0 25 0.04 0.2091 0.28752
55 64 2 4 780 TT 1.0 25 0.04 0.8364 0.29366
56 32 1 2 584 FF 1.0 25 0.00125 0.052275 0.23641
57 32 1 2 584 FF 1.0 25 0.00125 0.2091 0.23782999999999999
58 32 1 2 584 FF 1.0 25 0.00125 0.8364 0.24323999999999998
59 32 1 2 584 FF 1.0 25 0.005 0.052275 0.23717000000000002
60 32 1 2 584 FF 1.0 25 0.005 0.2091 0.23853
61 32 1 2 584 FF 1.0 25 0.005 0.8364 0.2437
62 32 1 2 584 FF 1.0 25 0.04 0.052275 0.24194
63 32 1 2 584 FF 1.0 25 0.04 0.2091 0.2432
64 32 1 2 584 FF 1.0 25 0.04 0.8364 0.2486
65 32 1 2 584 SS 1.0 25 0.00125 0.052275 0.29381
66 32 1 2 584 SS 1.0 25 0.00125 0.2091 0.29564
67 32 1 2 584 SS 1.0 25 0.00125 0.8364 0.30294
68 32 1 2 584 SS 1.0 25 0.005 0.052275 0.2943
69 32 1 2 584 SS 1.0 25 0.005 0.2091 0.29651999999999995
70 32 1 2 584 SS 1.0 25 0.005 0.8364 0.30362
71 32 1 2 584 SS 1.0 25 0.04 0.052275 0.30057
72 32 1 2 584 SS 1.0 25 0.04 0.2091 0.30256
73 32 1 2 584 SS 1.0 25 0.04 0.8364 0.30998
74 32 1 2 584 TT 1.0 25 0.00125 0.052275 0.26071
75 32 1 2 584 TT 1.0 25 0.00125 0.2091 0.26230000000000003
76 32 1 2 584 TT 1.0 25 0.00125 0.8364 0.26844999999999997
77 32 1 2 584 TT 1.0 25 0.005 0.052275 0.26130000000000003
78 32 1 2 584 TT 1.0 25 0.005 0.2091 0.26276
79 32 1 2 584 TT 1.0 25 0.005 0.8364 0.26908000000000004
80 32 1 2 584 TT 1.0 25 0.04 0.052275 0.26691000000000004
81 32 1 2 584 TT 1.0 25 0.04 0.2091 0.26833
82 32 1 2 584 TT 1.0 25 0.04 0.8364 0.27488
83 32 2 2 642 FF 1.0 25 0.00125 0.052275 0.23962999999999998
84 32 2 2 642 FF 1.0 25 0.00125 0.2091 0.24112
85 32 2 2 642 FF 1.0 25 0.00125 0.8364 0.24631
86 32 2 2 642 FF 1.0 25 0.005 0.052275 0.24009999999999998
87 32 2 2 642 FF 1.0 25 0.005 0.2091 0.24160000000000004
88 32 2 2 642 FF 1.0 25 0.005 0.8364 0.24684
89 32 2 2 642 FF 1.0 25 0.04 0.052275 0.24514999999999998
90 32 2 2 642 FF 1.0 25 0.04 0.2091 0.24680000000000002
91 32 2 2 642 FF 1.0 25 0.04 0.8364 0.2518
92 32 2 2 642 SS 1.0 25 0.00125 0.052275 0.298
93 32 2 2 642 SS 1.0 25 0.00125 0.2091 0.29993000000000003
94 32 2 2 642 SS 1.0 25 0.00125 0.8364 0.30740999999999996
95 32 2 2 642 SS 1.0 25 0.005 0.052275 0.29886
96 32 2 2 642 SS 1.0 25 0.005 0.2091 0.30074
97 32 2 2 642 SS 1.0 25 0.005 0.8364 0.30826
98 32 2 2 642 SS 1.0 25 0.04 0.052275 0.30518
99 32 2 2 642 SS 1.0 25 0.04 0.2091 0.30701
100 32 2 2 642 SS 1.0 25 0.04 0.8364 0.3144
101 32 2 2 642 TT 1.0 25 0.00125 0.052275 0.26469
102 32 2 2 642 TT 1.0 25 0.00125 0.2091 0.26608
103 32 2 2 642 TT 1.0 25 0.00125 0.8364 0.27228
104 32 2 2 642 TT 1.0 25 0.005 0.052275 0.26508
105 32 2 2 642 TT 1.0 25 0.005 0.2091 0.26661
106 32 2 2 642 TT 1.0 25 0.005 0.8364 0.27302
107 32 2 2 642 TT 1.0 25 0.04 0.052275 0.27074
108 32 2 2 642 TT 1.0 25 0.04 0.2091 0.27229
109 32 2 2 642 TT 1.0 25 0.04 0.8364 0.27856000000000003
110 16 2 1 545 FF 1.0 25 0.00125 0.052275 0.20774
111 16 2 1 545 FF 1.0 25 0.00125 0.2091 0.20883
112 16 2 1 545 FF 1.0 25 0.00125 0.8364 0.21308
113 16 2 1 545 FF 1.0 25 0.005 0.052275 0.20826
114 16 2 1 545 FF 1.0 25 0.005 0.2091 0.20935
115 16 2 1 545 FF 1.0 25 0.005 0.8364 0.21361
116 16 2 1 545 FF 1.0 25 0.04 0.052275 0.21305000000000002
117 16 2 1 545 FF 1.0 25 0.04 0.2091 0.21434999999999998
118 16 2 1 545 FF 1.0 25 0.04 0.8364 0.21861999999999998
119 16 2 1 545 SS 1.0 25 0.00125 0.052275 0.25171
120 16 2 1 545 SS 1.0 25 0.00125 0.2091 0.25345
121 16 2 1 545 SS 1.0 25 0.00125 0.8364 0.25919000000000003
122 16 2 1 545 SS 1.0 25 0.005 0.052275 0.25259
123 16 2 1 545 SS 1.0 25 0.005 0.2091 0.25406
124 16 2 1 545 SS 1.0 25 0.005 0.8364 0.26003
125 16 2 1 545 SS 1.0 25 0.04 0.052275 0.2589
126 16 2 1 545 SS 1.0 25 0.04 0.2091 0.26036000000000004
127 16 2 1 545 SS 1.0 25 0.04 0.8364 0.26641000000000004
128 16 2 1 545 TT 1.0 25 0.00125 0.052275 0.22749999999999998
129 16 2 1 545 TT 1.0 25 0.00125 0.2091 0.22874
130 16 2 1 545 TT 1.0 25 0.00125 0.8364 0.23365000000000002
131 16 2 1 545 TT 1.0 25 0.005 0.052275 0.22791
132 16 2 1 545 TT 1.0 25 0.005 0.2091 0.22928
133 16 2 1 545 TT 1.0 25 0.005 0.8364 0.23424
134 16 2 1 545 TT 1.0 25 0.04 0.052275 0.23372999999999997
135 16 2 1 545 TT 1.0 25 0.04 0.2091 0.23488000000000003
136 16 2 1 545 TT 1.0 25 0.04 0.8364 0.23993000000000003
137 16 3 1 577 FF 1.0 25 0.00125 0.052275 0.2099
138 16 3 1 577 FF 1.0 25 0.00125 0.2091 0.21104
139 16 3 1 577 FF 1.0 25 0.00125 0.8364 0.21528
140 16 3 1 577 FF 1.0 25 0.005 0.052275 0.21069
141 16 3 1 577 FF 1.0 25 0.005 0.2091 0.21178
142 16 3 1 577 FF 1.0 25 0.005 0.8364 0.21605
143 16 3 1 577 FF 1.0 25 0.04 0.052275 0.21550999999999998
144 16 3 1 577 FF 1.0 25 0.04 0.2091 0.21662
145 16 3 1 577 FF 1.0 25 0.04 0.8364 0.22065
146 16 3 1 577 SS 1.0 25 0.00125 0.052275 0.25471
147 16 3 1 577 SS 1.0 25 0.00125 0.2091 0.25597
148 16 3 1 577 SS 1.0 25 0.00125 0.8364 0.2622
149 16 3 1 577 SS 1.0 25 0.005 0.052275 0.25558000000000003
150 16 3 1 577 SS 1.0 25 0.005 0.2091 0.25673
151 16 3 1 577 SS 1.0 25 0.005 0.8364 0.26284
152 16 3 1 577 SS 1.0 25 0.04 0.052275 0.26176
153 16 3 1 577 SS 1.0 25 0.04 0.2091 0.26276
154 16 3 1 577 SS 1.0 25 0.04 0.8364 0.26884
155 16 3 1 577 TT 1.0 25 0.00125 0.052275 0.2299
156 16 3 1 577 TT 1.0 25 0.00125 0.2091 0.2311
157 16 3 1 577 TT 1.0 25 0.00125 0.8364 0.23639
158 16 3 1 577 TT 1.0 25 0.005 0.052275 0.23051
159 16 3 1 577 TT 1.0 25 0.005 0.2091 0.23177999999999999
160 16 3 1 577 TT 1.0 25 0.005 0.8364 0.23668
161 16 3 1 577 TT 1.0 25 0.04 0.052275 0.23592
162 16 3 1 577 TT 1.0 25 0.04 0.2091 0.23736999999999997
163 16 3 1 577 TT 1.0 25 0.04 0.8364 0.24238999999999997
164 32 3 2 701 FF 1.0 25 0.00125 0.052275 0.24361999999999998
165 32 3 2 701 FF 1.0 25 0.00125 0.2091 0.24481
166 32 3 2 701 FF 1.0 25 0.00125 0.8364 0.25027
167 32 3 2 701 FF 1.0 25 0.005 0.052275 0.24414
168 32 3 2 701 FF 1.0 25 0.005 0.2091 0.24541
169 32 3 2 701 FF 1.0 25 0.005 0.8364 0.25079
170 32 3 2 701 FF 1.0 25 0.04 0.052275 0.24897000000000002
171 32 3 2 701 FF 1.0 25 0.04 0.2091 0.25027
172 32 3 2 701 FF 1.0 25 0.04 0.8364 0.25566
173 32 3 2 701 SS 1.0 25 0.00125 0.052275 0.30235
174 32 3 2 701 SS 1.0 25 0.00125 0.2091 0.30436
175 32 3 2 701 SS 1.0 25 0.00125 0.8364 0.31167
176 32 3 2 701 SS 1.0 25 0.005 0.052275 0.30313
177 32 3 2 701 SS 1.0 25 0.005 0.2091 0.30508
178 32 3 2 701 SS 1.0 25 0.005 0.8364 0.31239
179 32 3 2 701 SS 1.0 25 0.04 0.052275 0.30959000000000003
180 32 3 2 701 SS 1.0 25 0.04 0.2091 0.31098
181 32 3 2 701 SS 1.0 25 0.04 0.8364 0.31853
182 32 3 2 701 TT 1.0 25 0.00125 0.052275 0.26874
183 32 3 2 701 TT 1.0 25 0.00125 0.2091 0.27017
184 32 3 2 701 TT 1.0 25 0.00125 0.8364 0.27657
185 32 3 2 701 TT 1.0 25 0.005 0.052275 0.26937
186 32 3 2 701 TT 1.0 25 0.005 0.2091 0.27088
187 32 3 2 701 TT 1.0 25 0.005 0.8364 0.27708
188 32 3 2 701 TT 1.0 25 0.04 0.052275 0.2749
189 32 3 2 701 TT 1.0 25 0.04 0.2091 0.27648
190 32 3 2 701 TT 1.0 25 0.04 0.8364 0.28285
191 16 1 1 512 FF 1.0 25 0.00125 0.052275 0.21178
192 16 1 1 512 FF 1.0 25 0.00125 0.2091 0.21289
193 16 1 1 512 FF 1.0 25 0.00125 0.8364 0.21739999999999998
194 16 1 1 512 FF 1.0 25 0.005 0.052275 0.21234
195 16 1 1 512 FF 1.0 25 0.005 0.2091 0.21344
196 16 1 1 512 FF 1.0 25 0.005 0.8364 0.21807
197 16 1 1 512 FF 1.0 25 0.04 0.052275 0.21609
198 16 1 1 512 FF 1.0 25 0.04 0.2091 0.21733
199 16 1 1 512 FF 1.0 25 0.04 0.8364 0.22167
200 16 1 1 512 SS 1.0 25 0.00125 0.052275 0.25711999999999996
201 16 1 1 512 SS 1.0 25 0.00125 0.2091 0.25864
202 16 1 1 512 SS 1.0 25 0.00125 0.8364 0.26446
203 16 1 1 512 SS 1.0 25 0.005 0.052275 0.25783
204 16 1 1 512 SS 1.0 25 0.005 0.2091 0.25905999999999996
205 16 1 1 512 SS 1.0 25 0.005 0.8364 0.26514
206 16 1 1 512 SS 1.0 25 0.04 0.052275 0.26306
207 16 1 1 512 SS 1.0 25 0.04 0.2091 0.26462
208 16 1 1 512 SS 1.0 25 0.04 0.8364 0.27044999999999997
209 16 1 1 512 TT 1.0 25 0.00125 0.052275 0.23172
210 16 1 1 512 TT 1.0 25 0.00125 0.2091 0.23336
211 16 1 1 512 TT 1.0 25 0.00125 0.8364 0.23824
212 16 1 1 512 TT 1.0 25 0.005 0.052275 0.23241
213 16 1 1 512 TT 1.0 25 0.005 0.2091 0.23397
214 16 1 1 512 TT 1.0 25 0.005 0.8364 0.23889
215 16 1 1 512 TT 1.0 25 0.04 0.052275 0.23715
216 16 1 1 512 TT 1.0 25 0.04 0.2091 0.2385
217 16 1 1 512 TT 1.0 25 0.04 0.8364 0.24325000000000002

View File

@ -1,217 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,fall_slew
64,3,4,922,FF,1.0,25,0.00125,0.052275,0.22674999999999998
64,3,4,922,FF,1.0,25,0.00125,0.2091,0.22697
64,3,4,922,FF,1.0,25,0.00125,0.8364,0.22827
64,3,4,922,FF,1.0,25,0.005,0.052275,0.22672
64,3,4,922,FF,1.0,25,0.005,0.2091,0.22709
64,3,4,922,FF,1.0,25,0.005,0.8364,0.22804
64,3,4,922,FF,1.0,25,0.04,0.052275,0.22672
64,3,4,922,FF,1.0,25,0.04,0.2091,0.22705
64,3,4,922,FF,1.0,25,0.04,0.8364,0.22846
64,3,4,922,SS,1.0,25,0.00125,0.052275,0.27583
64,3,4,922,SS,1.0,25,0.00125,0.2091,0.27593
64,3,4,922,SS,1.0,25,0.00125,0.8364,0.27729
64,3,4,922,SS,1.0,25,0.005,0.052275,0.27573
64,3,4,922,SS,1.0,25,0.005,0.2091,0.27598
64,3,4,922,SS,1.0,25,0.005,0.8364,0.27741
64,3,4,922,SS,1.0,25,0.04,0.052275,0.27579
64,3,4,922,SS,1.0,25,0.04,0.2091,0.27622
64,3,4,922,SS,1.0,25,0.04,0.8364,0.27759
64,3,4,922,TT,1.0,25,0.00125,0.052275,0.24922
64,3,4,922,TT,1.0,25,0.00125,0.2091,0.24954
64,3,4,922,TT,1.0,25,0.00125,0.8364,0.25093
64,3,4,922,TT,1.0,25,0.005,0.052275,0.24912
64,3,4,922,TT,1.0,25,0.005,0.2091,0.24960999999999997
64,3,4,922,TT,1.0,25,0.005,0.8364,0.2506
64,3,4,922,TT,1.0,25,0.04,0.052275,0.24927000000000002
64,3,4,922,TT,1.0,25,0.04,0.2091,0.24956
64,3,4,922,TT,1.0,25,0.04,0.8364,0.25087
64,2,4,780,FF,1.0,25,0.00125,0.052275,0.22310000000000002
64,2,4,780,FF,1.0,25,0.00125,0.2091,0.22333
64,2,4,780,FF,1.0,25,0.00125,0.8364,0.22433
64,2,4,780,FF,1.0,25,0.005,0.052275,0.22287
64,2,4,780,FF,1.0,25,0.005,0.2091,0.22319
64,2,4,780,FF,1.0,25,0.005,0.8364,0.22444
64,2,4,780,FF,1.0,25,0.04,0.052275,0.22305
64,2,4,780,FF,1.0,25,0.04,0.2091,0.22338
64,2,4,780,FF,1.0,25,0.04,0.8364,0.22451000000000002
64,2,4,780,SS,1.0,25,0.00125,0.052275,0.27102000000000004
64,2,4,780,SS,1.0,25,0.00125,0.2091,0.27135
64,2,4,780,SS,1.0,25,0.00125,0.8364,0.27273
64,2,4,780,SS,1.0,25,0.005,0.052275,0.27105999999999997
64,2,4,780,SS,1.0,25,0.005,0.2091,0.27127
64,2,4,780,SS,1.0,25,0.005,0.8364,0.27282999999999996
64,2,4,780,SS,1.0,25,0.04,0.052275,0.27105
64,2,4,780,SS,1.0,25,0.04,0.2091,0.2713
64,2,4,780,SS,1.0,25,0.04,0.8364,0.27285
64,2,4,780,TT,1.0,25,0.00125,0.052275,0.24507
64,2,4,780,TT,1.0,25,0.00125,0.2091,0.24528999999999998
64,2,4,780,TT,1.0,25,0.00125,0.8364,0.24652999999999997
64,2,4,780,TT,1.0,25,0.005,0.052275,0.24494
64,2,4,780,TT,1.0,25,0.005,0.2091,0.24531
64,2,4,780,TT,1.0,25,0.005,0.8364,0.24655
64,2,4,780,TT,1.0,25,0.04,0.052275,0.24504
64,2,4,780,TT,1.0,25,0.04,0.2091,0.24564
64,2,4,780,TT,1.0,25,0.04,0.8364,0.24654
32,1,2,584,FF,1.0,25,0.00125,0.052275,0.22154
32,1,2,584,FF,1.0,25,0.00125,0.2091,0.22174
32,1,2,584,FF,1.0,25,0.00125,0.8364,0.22285000000000002
32,1,2,584,FF,1.0,25,0.005,0.052275,0.22133
32,1,2,584,FF,1.0,25,0.005,0.2091,0.22172999999999998
32,1,2,584,FF,1.0,25,0.005,0.8364,0.22272
32,1,2,584,FF,1.0,25,0.04,0.052275,0.22146
32,1,2,584,FF,1.0,25,0.04,0.2091,0.22181
32,1,2,584,FF,1.0,25,0.04,0.8364,0.22283
32,1,2,584,SS,1.0,25,0.00125,0.052275,0.26865
32,1,2,584,SS,1.0,25,0.00125,0.2091,0.26902000000000004
32,1,2,584,SS,1.0,25,0.00125,0.8364,0.27041
32,1,2,584,SS,1.0,25,0.005,0.052275,0.26871
32,1,2,584,SS,1.0,25,0.005,0.2091,0.26911
32,1,2,584,SS,1.0,25,0.005,0.8364,0.27043
32,1,2,584,SS,1.0,25,0.04,0.052275,0.26875
32,1,2,584,SS,1.0,25,0.04,0.2091,0.26904
32,1,2,584,SS,1.0,25,0.04,0.8364,0.27055
32,1,2,584,TT,1.0,25,0.00125,0.052275,0.24329
32,1,2,584,TT,1.0,25,0.00125,0.2091,0.24347
32,1,2,584,TT,1.0,25,0.00125,0.8364,0.2447
32,1,2,584,TT,1.0,25,0.005,0.052275,0.24322000000000002
32,1,2,584,TT,1.0,25,0.005,0.2091,0.24357
32,1,2,584,TT,1.0,25,0.005,0.8364,0.24477000000000002
32,1,2,584,TT,1.0,25,0.04,0.052275,0.24329
32,1,2,584,TT,1.0,25,0.04,0.2091,0.24358999999999997
32,1,2,584,TT,1.0,25,0.04,0.8364,0.24467999999999998
32,2,2,642,FF,1.0,25,0.00125,0.052275,0.22533999999999998
32,2,2,642,FF,1.0,25,0.00125,0.2091,0.22555
32,2,2,642,FF,1.0,25,0.00125,0.8364,0.22665
32,2,2,642,FF,1.0,25,0.005,0.052275,0.22537
32,2,2,642,FF,1.0,25,0.005,0.2091,0.22542
32,2,2,642,FF,1.0,25,0.005,0.8364,0.22643
32,2,2,642,FF,1.0,25,0.04,0.052275,0.22558999999999998
32,2,2,642,FF,1.0,25,0.04,0.2091,0.22558999999999998
32,2,2,642,FF,1.0,25,0.04,0.8364,0.22674999999999998
32,2,2,642,SS,1.0,25,0.00125,0.052275,0.27363000000000004
32,2,2,642,SS,1.0,25,0.00125,0.2091,0.27408
32,2,2,642,SS,1.0,25,0.00125,0.8364,0.27523
32,2,2,642,SS,1.0,25,0.005,0.052275,0.27340000000000003
32,2,2,642,SS,1.0,25,0.005,0.2091,0.27366
32,2,2,642,SS,1.0,25,0.005,0.8364,0.27528
32,2,2,642,SS,1.0,25,0.04,0.052275,0.27339
32,2,2,642,SS,1.0,25,0.04,0.2091,0.27398
32,2,2,642,SS,1.0,25,0.04,0.8364,0.2752
32,2,2,642,TT,1.0,25,0.00125,0.052275,0.24745999999999999
32,2,2,642,TT,1.0,25,0.00125,0.2091,0.24766999999999997
32,2,2,642,TT,1.0,25,0.00125,0.8364,0.24877000000000002
32,2,2,642,TT,1.0,25,0.005,0.052275,0.24738
32,2,2,642,TT,1.0,25,0.005,0.2091,0.24769
32,2,2,642,TT,1.0,25,0.005,0.8364,0.24877000000000002
32,2,2,642,TT,1.0,25,0.04,0.052275,0.24742
32,2,2,642,TT,1.0,25,0.04,0.2091,0.24786999999999998
32,2,2,642,TT,1.0,25,0.04,0.8364,0.24909
16,2,1,545,FF,1.0,25,0.00125,0.052275,0.24514999999999998
16,2,1,545,FF,1.0,25,0.00125,0.2091,0.24546
16,2,1,545,FF,1.0,25,0.00125,0.8364,0.24648
16,2,1,545,FF,1.0,25,0.005,0.052275,0.24517999999999998
16,2,1,545,FF,1.0,25,0.005,0.2091,0.24543
16,2,1,545,FF,1.0,25,0.005,0.8364,0.24646999999999997
16,2,1,545,FF,1.0,25,0.04,0.052275,0.24536000000000002
16,2,1,545,FF,1.0,25,0.04,0.2091,0.24561
16,2,1,545,FF,1.0,25,0.04,0.8364,0.24656000000000003
16,2,1,545,SS,1.0,25,0.00125,0.052275,0.29841
16,2,1,545,SS,1.0,25,0.00125,0.2091,0.29889
16,2,1,545,SS,1.0,25,0.00125,0.8364,0.29997999999999997
16,2,1,545,SS,1.0,25,0.005,0.052275,0.29843000000000003
16,2,1,545,SS,1.0,25,0.005,0.2091,0.2987
16,2,1,545,SS,1.0,25,0.005,0.8364,0.30012999999999995
16,2,1,545,SS,1.0,25,0.04,0.052275,0.29830999999999996
16,2,1,545,SS,1.0,25,0.04,0.2091,0.29874
16,2,1,545,SS,1.0,25,0.04,0.8364,0.30011
16,2,1,545,TT,1.0,25,0.00125,0.052275,0.26954
16,2,1,545,TT,1.0,25,0.00125,0.2091,0.26983
16,2,1,545,TT,1.0,25,0.00125,0.8364,0.27093
16,2,1,545,TT,1.0,25,0.005,0.052275,0.26944999999999997
16,2,1,545,TT,1.0,25,0.005,0.2091,0.26990000000000003
16,2,1,545,TT,1.0,25,0.005,0.8364,0.27093
16,2,1,545,TT,1.0,25,0.04,0.052275,0.26973
16,2,1,545,TT,1.0,25,0.04,0.2091,0.26999
16,2,1,545,TT,1.0,25,0.04,0.8364,0.27142
16,3,1,577,FF,1.0,25,0.00125,0.052275,0.24907999999999997
16,3,1,577,FF,1.0,25,0.00125,0.2091,0.24947000000000003
16,3,1,577,FF,1.0,25,0.00125,0.8364,0.25053000000000003
16,3,1,577,FF,1.0,25,0.005,0.052275,0.24922999999999998
16,3,1,577,FF,1.0,25,0.005,0.2091,0.24939
16,3,1,577,FF,1.0,25,0.005,0.8364,0.2505
16,3,1,577,FF,1.0,25,0.04,0.052275,0.24939
16,3,1,577,FF,1.0,25,0.04,0.2091,0.24963999999999997
16,3,1,577,FF,1.0,25,0.04,0.8364,0.25067
16,3,1,577,SS,1.0,25,0.00125,0.052275,0.30352999999999997
16,3,1,577,SS,1.0,25,0.00125,0.2091,0.30381
16,3,1,577,SS,1.0,25,0.00125,0.8364,0.30519999999999997
16,3,1,577,SS,1.0,25,0.005,0.052275,0.30346999999999996
16,3,1,577,SS,1.0,25,0.005,0.2091,0.30373999999999995
16,3,1,577,SS,1.0,25,0.005,0.8364,0.30509
16,3,1,577,SS,1.0,25,0.04,0.052275,0.30369999999999997
16,3,1,577,SS,1.0,25,0.04,0.2091,0.30395
16,3,1,577,SS,1.0,25,0.04,0.8364,0.30522
16,3,1,577,TT,1.0,25,0.00125,0.052275,0.27411
16,3,1,577,TT,1.0,25,0.00125,0.2091,0.27423
16,3,1,577,TT,1.0,25,0.00125,0.8364,0.27543
16,3,1,577,TT,1.0,25,0.005,0.052275,0.27395
16,3,1,577,TT,1.0,25,0.005,0.2091,0.27429
16,3,1,577,TT,1.0,25,0.005,0.8364,0.27555999999999997
16,3,1,577,TT,1.0,25,0.04,0.052275,0.27455999999999997
16,3,1,577,TT,1.0,25,0.04,0.2091,0.27428
16,3,1,577,TT,1.0,25,0.04,0.8364,0.27565
32,3,2,701,FF,1.0,25,0.00125,0.052275,0.22893
32,3,2,701,FF,1.0,25,0.00125,0.2091,0.22913
32,3,2,701,FF,1.0,25,0.00125,0.8364,0.23035
32,3,2,701,FF,1.0,25,0.005,0.052275,0.22876
32,3,2,701,FF,1.0,25,0.005,0.2091,0.22889
32,3,2,701,FF,1.0,25,0.005,0.8364,0.23018
32,3,2,701,FF,1.0,25,0.04,0.052275,0.22888
32,3,2,701,FF,1.0,25,0.04,0.2091,0.22907
32,3,2,701,FF,1.0,25,0.04,0.8364,0.23024
32,3,2,701,SS,1.0,25,0.00125,0.052275,0.27804
32,3,2,701,SS,1.0,25,0.00125,0.2091,0.27853
32,3,2,701,SS,1.0,25,0.00125,0.8364,0.27971999999999997
32,3,2,701,SS,1.0,25,0.005,0.052275,0.27799
32,3,2,701,SS,1.0,25,0.005,0.2091,0.27854999999999996
32,3,2,701,SS,1.0,25,0.005,0.8364,0.27982
32,3,2,701,SS,1.0,25,0.04,0.052275,0.27827999999999997
32,3,2,701,SS,1.0,25,0.04,0.2091,0.27878
32,3,2,701,SS,1.0,25,0.04,0.8364,0.28027
32,3,2,701,TT,1.0,25,0.00125,0.052275,0.25155000000000005
32,3,2,701,TT,1.0,25,0.00125,0.2091,0.25172
32,3,2,701,TT,1.0,25,0.00125,0.8364,0.2531
32,3,2,701,TT,1.0,25,0.005,0.052275,0.25128
32,3,2,701,TT,1.0,25,0.005,0.2091,0.25178
32,3,2,701,TT,1.0,25,0.005,0.8364,0.25283
32,3,2,701,TT,1.0,25,0.04,0.052275,0.25175
32,3,2,701,TT,1.0,25,0.04,0.2091,0.25175
32,3,2,701,TT,1.0,25,0.04,0.8364,0.25299000000000005
16,1,1,512,FF,1.0,25,0.00125,0.052275,0.24119000000000002
16,1,1,512,FF,1.0,25,0.00125,0.2091,0.24160000000000004
16,1,1,512,FF,1.0,25,0.00125,0.8364,0.24266000000000001
16,1,1,512,FF,1.0,25,0.005,0.052275,0.24132
16,1,1,512,FF,1.0,25,0.005,0.2091,0.24153
16,1,1,512,FF,1.0,25,0.005,0.8364,0.24263
16,1,1,512,FF,1.0,25,0.04,0.052275,0.24134000000000003
16,1,1,512,FF,1.0,25,0.04,0.2091,0.24184000000000003
16,1,1,512,FF,1.0,25,0.04,0.8364,0.24273999999999998
16,1,1,512,SS,1.0,25,0.00125,0.052275,0.29352
16,1,1,512,SS,1.0,25,0.00125,0.2091,0.29379
16,1,1,512,SS,1.0,25,0.00125,0.8364,0.29528
16,1,1,512,SS,1.0,25,0.005,0.052275,0.29344000000000003
16,1,1,512,SS,1.0,25,0.005,0.2091,0.29385
16,1,1,512,SS,1.0,25,0.005,0.8364,0.29532
16,1,1,512,SS,1.0,25,0.04,0.052275,0.29348
16,1,1,512,SS,1.0,25,0.04,0.2091,0.29385
16,1,1,512,SS,1.0,25,0.04,0.8364,0.29524
16,1,1,512,TT,1.0,25,0.00125,0.052275,0.26513
16,1,1,512,TT,1.0,25,0.00125,0.2091,0.26541000000000003
16,1,1,512,TT,1.0,25,0.00125,0.8364,0.2666
16,1,1,512,TT,1.0,25,0.005,0.052275,0.26519
16,1,1,512,TT,1.0,25,0.005,0.2091,0.26541000000000003
16,1,1,512,TT,1.0,25,0.005,0.8364,0.26646
16,1,1,512,TT,1.0,25,0.04,0.052275,0.26518
16,1,1,512,TT,1.0,25,0.04,0.2091,0.26582
16,1,1,512,TT,1.0,25,0.04,0.8364,0.26681
1 num_words word_size words_per_row area process voltage temperature slew load fall_slew
2 64 3 4 922 FF 1.0 25 0.00125 0.052275 0.22674999999999998
3 64 3 4 922 FF 1.0 25 0.00125 0.2091 0.22697
4 64 3 4 922 FF 1.0 25 0.00125 0.8364 0.22827
5 64 3 4 922 FF 1.0 25 0.005 0.052275 0.22672
6 64 3 4 922 FF 1.0 25 0.005 0.2091 0.22709
7 64 3 4 922 FF 1.0 25 0.005 0.8364 0.22804
8 64 3 4 922 FF 1.0 25 0.04 0.052275 0.22672
9 64 3 4 922 FF 1.0 25 0.04 0.2091 0.22705
10 64 3 4 922 FF 1.0 25 0.04 0.8364 0.22846
11 64 3 4 922 SS 1.0 25 0.00125 0.052275 0.27583
12 64 3 4 922 SS 1.0 25 0.00125 0.2091 0.27593
13 64 3 4 922 SS 1.0 25 0.00125 0.8364 0.27729
14 64 3 4 922 SS 1.0 25 0.005 0.052275 0.27573
15 64 3 4 922 SS 1.0 25 0.005 0.2091 0.27598
16 64 3 4 922 SS 1.0 25 0.005 0.8364 0.27741
17 64 3 4 922 SS 1.0 25 0.04 0.052275 0.27579
18 64 3 4 922 SS 1.0 25 0.04 0.2091 0.27622
19 64 3 4 922 SS 1.0 25 0.04 0.8364 0.27759
20 64 3 4 922 TT 1.0 25 0.00125 0.052275 0.24922
21 64 3 4 922 TT 1.0 25 0.00125 0.2091 0.24954
22 64 3 4 922 TT 1.0 25 0.00125 0.8364 0.25093
23 64 3 4 922 TT 1.0 25 0.005 0.052275 0.24912
24 64 3 4 922 TT 1.0 25 0.005 0.2091 0.24960999999999997
25 64 3 4 922 TT 1.0 25 0.005 0.8364 0.2506
26 64 3 4 922 TT 1.0 25 0.04 0.052275 0.24927000000000002
27 64 3 4 922 TT 1.0 25 0.04 0.2091 0.24956
28 64 3 4 922 TT 1.0 25 0.04 0.8364 0.25087
29 64 2 4 780 FF 1.0 25 0.00125 0.052275 0.22310000000000002
30 64 2 4 780 FF 1.0 25 0.00125 0.2091 0.22333
31 64 2 4 780 FF 1.0 25 0.00125 0.8364 0.22433
32 64 2 4 780 FF 1.0 25 0.005 0.052275 0.22287
33 64 2 4 780 FF 1.0 25 0.005 0.2091 0.22319
34 64 2 4 780 FF 1.0 25 0.005 0.8364 0.22444
35 64 2 4 780 FF 1.0 25 0.04 0.052275 0.22305
36 64 2 4 780 FF 1.0 25 0.04 0.2091 0.22338
37 64 2 4 780 FF 1.0 25 0.04 0.8364 0.22451000000000002
38 64 2 4 780 SS 1.0 25 0.00125 0.052275 0.27102000000000004
39 64 2 4 780 SS 1.0 25 0.00125 0.2091 0.27135
40 64 2 4 780 SS 1.0 25 0.00125 0.8364 0.27273
41 64 2 4 780 SS 1.0 25 0.005 0.052275 0.27105999999999997
42 64 2 4 780 SS 1.0 25 0.005 0.2091 0.27127
43 64 2 4 780 SS 1.0 25 0.005 0.8364 0.27282999999999996
44 64 2 4 780 SS 1.0 25 0.04 0.052275 0.27105
45 64 2 4 780 SS 1.0 25 0.04 0.2091 0.2713
46 64 2 4 780 SS 1.0 25 0.04 0.8364 0.27285
47 64 2 4 780 TT 1.0 25 0.00125 0.052275 0.24507
48 64 2 4 780 TT 1.0 25 0.00125 0.2091 0.24528999999999998
49 64 2 4 780 TT 1.0 25 0.00125 0.8364 0.24652999999999997
50 64 2 4 780 TT 1.0 25 0.005 0.052275 0.24494
51 64 2 4 780 TT 1.0 25 0.005 0.2091 0.24531
52 64 2 4 780 TT 1.0 25 0.005 0.8364 0.24655
53 64 2 4 780 TT 1.0 25 0.04 0.052275 0.24504
54 64 2 4 780 TT 1.0 25 0.04 0.2091 0.24564
55 64 2 4 780 TT 1.0 25 0.04 0.8364 0.24654
56 32 1 2 584 FF 1.0 25 0.00125 0.052275 0.22154
57 32 1 2 584 FF 1.0 25 0.00125 0.2091 0.22174
58 32 1 2 584 FF 1.0 25 0.00125 0.8364 0.22285000000000002
59 32 1 2 584 FF 1.0 25 0.005 0.052275 0.22133
60 32 1 2 584 FF 1.0 25 0.005 0.2091 0.22172999999999998
61 32 1 2 584 FF 1.0 25 0.005 0.8364 0.22272
62 32 1 2 584 FF 1.0 25 0.04 0.052275 0.22146
63 32 1 2 584 FF 1.0 25 0.04 0.2091 0.22181
64 32 1 2 584 FF 1.0 25 0.04 0.8364 0.22283
65 32 1 2 584 SS 1.0 25 0.00125 0.052275 0.26865
66 32 1 2 584 SS 1.0 25 0.00125 0.2091 0.26902000000000004
67 32 1 2 584 SS 1.0 25 0.00125 0.8364 0.27041
68 32 1 2 584 SS 1.0 25 0.005 0.052275 0.26871
69 32 1 2 584 SS 1.0 25 0.005 0.2091 0.26911
70 32 1 2 584 SS 1.0 25 0.005 0.8364 0.27043
71 32 1 2 584 SS 1.0 25 0.04 0.052275 0.26875
72 32 1 2 584 SS 1.0 25 0.04 0.2091 0.26904
73 32 1 2 584 SS 1.0 25 0.04 0.8364 0.27055
74 32 1 2 584 TT 1.0 25 0.00125 0.052275 0.24329
75 32 1 2 584 TT 1.0 25 0.00125 0.2091 0.24347
76 32 1 2 584 TT 1.0 25 0.00125 0.8364 0.2447
77 32 1 2 584 TT 1.0 25 0.005 0.052275 0.24322000000000002
78 32 1 2 584 TT 1.0 25 0.005 0.2091 0.24357
79 32 1 2 584 TT 1.0 25 0.005 0.8364 0.24477000000000002
80 32 1 2 584 TT 1.0 25 0.04 0.052275 0.24329
81 32 1 2 584 TT 1.0 25 0.04 0.2091 0.24358999999999997
82 32 1 2 584 TT 1.0 25 0.04 0.8364 0.24467999999999998
83 32 2 2 642 FF 1.0 25 0.00125 0.052275 0.22533999999999998
84 32 2 2 642 FF 1.0 25 0.00125 0.2091 0.22555
85 32 2 2 642 FF 1.0 25 0.00125 0.8364 0.22665
86 32 2 2 642 FF 1.0 25 0.005 0.052275 0.22537
87 32 2 2 642 FF 1.0 25 0.005 0.2091 0.22542
88 32 2 2 642 FF 1.0 25 0.005 0.8364 0.22643
89 32 2 2 642 FF 1.0 25 0.04 0.052275 0.22558999999999998
90 32 2 2 642 FF 1.0 25 0.04 0.2091 0.22558999999999998
91 32 2 2 642 FF 1.0 25 0.04 0.8364 0.22674999999999998
92 32 2 2 642 SS 1.0 25 0.00125 0.052275 0.27363000000000004
93 32 2 2 642 SS 1.0 25 0.00125 0.2091 0.27408
94 32 2 2 642 SS 1.0 25 0.00125 0.8364 0.27523
95 32 2 2 642 SS 1.0 25 0.005 0.052275 0.27340000000000003
96 32 2 2 642 SS 1.0 25 0.005 0.2091 0.27366
97 32 2 2 642 SS 1.0 25 0.005 0.8364 0.27528
98 32 2 2 642 SS 1.0 25 0.04 0.052275 0.27339
99 32 2 2 642 SS 1.0 25 0.04 0.2091 0.27398
100 32 2 2 642 SS 1.0 25 0.04 0.8364 0.2752
101 32 2 2 642 TT 1.0 25 0.00125 0.052275 0.24745999999999999
102 32 2 2 642 TT 1.0 25 0.00125 0.2091 0.24766999999999997
103 32 2 2 642 TT 1.0 25 0.00125 0.8364 0.24877000000000002
104 32 2 2 642 TT 1.0 25 0.005 0.052275 0.24738
105 32 2 2 642 TT 1.0 25 0.005 0.2091 0.24769
106 32 2 2 642 TT 1.0 25 0.005 0.8364 0.24877000000000002
107 32 2 2 642 TT 1.0 25 0.04 0.052275 0.24742
108 32 2 2 642 TT 1.0 25 0.04 0.2091 0.24786999999999998
109 32 2 2 642 TT 1.0 25 0.04 0.8364 0.24909
110 16 2 1 545 FF 1.0 25 0.00125 0.052275 0.24514999999999998
111 16 2 1 545 FF 1.0 25 0.00125 0.2091 0.24546
112 16 2 1 545 FF 1.0 25 0.00125 0.8364 0.24648
113 16 2 1 545 FF 1.0 25 0.005 0.052275 0.24517999999999998
114 16 2 1 545 FF 1.0 25 0.005 0.2091 0.24543
115 16 2 1 545 FF 1.0 25 0.005 0.8364 0.24646999999999997
116 16 2 1 545 FF 1.0 25 0.04 0.052275 0.24536000000000002
117 16 2 1 545 FF 1.0 25 0.04 0.2091 0.24561
118 16 2 1 545 FF 1.0 25 0.04 0.8364 0.24656000000000003
119 16 2 1 545 SS 1.0 25 0.00125 0.052275 0.29841
120 16 2 1 545 SS 1.0 25 0.00125 0.2091 0.29889
121 16 2 1 545 SS 1.0 25 0.00125 0.8364 0.29997999999999997
122 16 2 1 545 SS 1.0 25 0.005 0.052275 0.29843000000000003
123 16 2 1 545 SS 1.0 25 0.005 0.2091 0.2987
124 16 2 1 545 SS 1.0 25 0.005 0.8364 0.30012999999999995
125 16 2 1 545 SS 1.0 25 0.04 0.052275 0.29830999999999996
126 16 2 1 545 SS 1.0 25 0.04 0.2091 0.29874
127 16 2 1 545 SS 1.0 25 0.04 0.8364 0.30011
128 16 2 1 545 TT 1.0 25 0.00125 0.052275 0.26954
129 16 2 1 545 TT 1.0 25 0.00125 0.2091 0.26983
130 16 2 1 545 TT 1.0 25 0.00125 0.8364 0.27093
131 16 2 1 545 TT 1.0 25 0.005 0.052275 0.26944999999999997
132 16 2 1 545 TT 1.0 25 0.005 0.2091 0.26990000000000003
133 16 2 1 545 TT 1.0 25 0.005 0.8364 0.27093
134 16 2 1 545 TT 1.0 25 0.04 0.052275 0.26973
135 16 2 1 545 TT 1.0 25 0.04 0.2091 0.26999
136 16 2 1 545 TT 1.0 25 0.04 0.8364 0.27142
137 16 3 1 577 FF 1.0 25 0.00125 0.052275 0.24907999999999997
138 16 3 1 577 FF 1.0 25 0.00125 0.2091 0.24947000000000003
139 16 3 1 577 FF 1.0 25 0.00125 0.8364 0.25053000000000003
140 16 3 1 577 FF 1.0 25 0.005 0.052275 0.24922999999999998
141 16 3 1 577 FF 1.0 25 0.005 0.2091 0.24939
142 16 3 1 577 FF 1.0 25 0.005 0.8364 0.2505
143 16 3 1 577 FF 1.0 25 0.04 0.052275 0.24939
144 16 3 1 577 FF 1.0 25 0.04 0.2091 0.24963999999999997
145 16 3 1 577 FF 1.0 25 0.04 0.8364 0.25067
146 16 3 1 577 SS 1.0 25 0.00125 0.052275 0.30352999999999997
147 16 3 1 577 SS 1.0 25 0.00125 0.2091 0.30381
148 16 3 1 577 SS 1.0 25 0.00125 0.8364 0.30519999999999997
149 16 3 1 577 SS 1.0 25 0.005 0.052275 0.30346999999999996
150 16 3 1 577 SS 1.0 25 0.005 0.2091 0.30373999999999995
151 16 3 1 577 SS 1.0 25 0.005 0.8364 0.30509
152 16 3 1 577 SS 1.0 25 0.04 0.052275 0.30369999999999997
153 16 3 1 577 SS 1.0 25 0.04 0.2091 0.30395
154 16 3 1 577 SS 1.0 25 0.04 0.8364 0.30522
155 16 3 1 577 TT 1.0 25 0.00125 0.052275 0.27411
156 16 3 1 577 TT 1.0 25 0.00125 0.2091 0.27423
157 16 3 1 577 TT 1.0 25 0.00125 0.8364 0.27543
158 16 3 1 577 TT 1.0 25 0.005 0.052275 0.27395
159 16 3 1 577 TT 1.0 25 0.005 0.2091 0.27429
160 16 3 1 577 TT 1.0 25 0.005 0.8364 0.27555999999999997
161 16 3 1 577 TT 1.0 25 0.04 0.052275 0.27455999999999997
162 16 3 1 577 TT 1.0 25 0.04 0.2091 0.27428
163 16 3 1 577 TT 1.0 25 0.04 0.8364 0.27565
164 32 3 2 701 FF 1.0 25 0.00125 0.052275 0.22893
165 32 3 2 701 FF 1.0 25 0.00125 0.2091 0.22913
166 32 3 2 701 FF 1.0 25 0.00125 0.8364 0.23035
167 32 3 2 701 FF 1.0 25 0.005 0.052275 0.22876
168 32 3 2 701 FF 1.0 25 0.005 0.2091 0.22889
169 32 3 2 701 FF 1.0 25 0.005 0.8364 0.23018
170 32 3 2 701 FF 1.0 25 0.04 0.052275 0.22888
171 32 3 2 701 FF 1.0 25 0.04 0.2091 0.22907
172 32 3 2 701 FF 1.0 25 0.04 0.8364 0.23024
173 32 3 2 701 SS 1.0 25 0.00125 0.052275 0.27804
174 32 3 2 701 SS 1.0 25 0.00125 0.2091 0.27853
175 32 3 2 701 SS 1.0 25 0.00125 0.8364 0.27971999999999997
176 32 3 2 701 SS 1.0 25 0.005 0.052275 0.27799
177 32 3 2 701 SS 1.0 25 0.005 0.2091 0.27854999999999996
178 32 3 2 701 SS 1.0 25 0.005 0.8364 0.27982
179 32 3 2 701 SS 1.0 25 0.04 0.052275 0.27827999999999997
180 32 3 2 701 SS 1.0 25 0.04 0.2091 0.27878
181 32 3 2 701 SS 1.0 25 0.04 0.8364 0.28027
182 32 3 2 701 TT 1.0 25 0.00125 0.052275 0.25155000000000005
183 32 3 2 701 TT 1.0 25 0.00125 0.2091 0.25172
184 32 3 2 701 TT 1.0 25 0.00125 0.8364 0.2531
185 32 3 2 701 TT 1.0 25 0.005 0.052275 0.25128
186 32 3 2 701 TT 1.0 25 0.005 0.2091 0.25178
187 32 3 2 701 TT 1.0 25 0.005 0.8364 0.25283
188 32 3 2 701 TT 1.0 25 0.04 0.052275 0.25175
189 32 3 2 701 TT 1.0 25 0.04 0.2091 0.25175
190 32 3 2 701 TT 1.0 25 0.04 0.8364 0.25299000000000005
191 16 1 1 512 FF 1.0 25 0.00125 0.052275 0.24119000000000002
192 16 1 1 512 FF 1.0 25 0.00125 0.2091 0.24160000000000004
193 16 1 1 512 FF 1.0 25 0.00125 0.8364 0.24266000000000001
194 16 1 1 512 FF 1.0 25 0.005 0.052275 0.24132
195 16 1 1 512 FF 1.0 25 0.005 0.2091 0.24153
196 16 1 1 512 FF 1.0 25 0.005 0.8364 0.24263
197 16 1 1 512 FF 1.0 25 0.04 0.052275 0.24134000000000003
198 16 1 1 512 FF 1.0 25 0.04 0.2091 0.24184000000000003
199 16 1 1 512 FF 1.0 25 0.04 0.8364 0.24273999999999998
200 16 1 1 512 SS 1.0 25 0.00125 0.052275 0.29352
201 16 1 1 512 SS 1.0 25 0.00125 0.2091 0.29379
202 16 1 1 512 SS 1.0 25 0.00125 0.8364 0.29528
203 16 1 1 512 SS 1.0 25 0.005 0.052275 0.29344000000000003
204 16 1 1 512 SS 1.0 25 0.005 0.2091 0.29385
205 16 1 1 512 SS 1.0 25 0.005 0.8364 0.29532
206 16 1 1 512 SS 1.0 25 0.04 0.052275 0.29348
207 16 1 1 512 SS 1.0 25 0.04 0.2091 0.29385
208 16 1 1 512 SS 1.0 25 0.04 0.8364 0.29524
209 16 1 1 512 TT 1.0 25 0.00125 0.052275 0.26513
210 16 1 1 512 TT 1.0 25 0.00125 0.2091 0.26541000000000003
211 16 1 1 512 TT 1.0 25 0.00125 0.8364 0.2666
212 16 1 1 512 TT 1.0 25 0.005 0.052275 0.26519
213 16 1 1 512 TT 1.0 25 0.005 0.2091 0.26541000000000003
214 16 1 1 512 TT 1.0 25 0.005 0.8364 0.26646
215 16 1 1 512 TT 1.0 25 0.04 0.052275 0.26518
216 16 1 1 512 TT 1.0 25 0.04 0.2091 0.26582
217 16 1 1 512 TT 1.0 25 0.04 0.8364 0.26681

View File

@ -1,217 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,read0_power
64,3,4,922,FF,1.0,25,0.00125,0.052275,0.5530577777777778
64,3,4,922,FF,1.0,25,0.00125,0.2091,0.5530577777777778
64,3,4,922,FF,1.0,25,0.00125,0.8364,0.5530577777777778
64,3,4,922,FF,1.0,25,0.005,0.052275,0.5530577777777778
64,3,4,922,FF,1.0,25,0.005,0.2091,0.5530577777777778
64,3,4,922,FF,1.0,25,0.005,0.8364,0.5530577777777778
64,3,4,922,FF,1.0,25,0.04,0.052275,0.5530577777777778
64,3,4,922,FF,1.0,25,0.04,0.2091,0.5530577777777778
64,3,4,922,FF,1.0,25,0.04,0.8364,0.5530577777777778
64,3,4,922,SS,1.0,25,0.00125,0.052275,0.4157033333333333
64,3,4,922,SS,1.0,25,0.00125,0.2091,0.4157033333333333
64,3,4,922,SS,1.0,25,0.00125,0.8364,0.4157033333333333
64,3,4,922,SS,1.0,25,0.005,0.052275,0.4157033333333333
64,3,4,922,SS,1.0,25,0.005,0.2091,0.4157033333333333
64,3,4,922,SS,1.0,25,0.005,0.8364,0.4157033333333333
64,3,4,922,SS,1.0,25,0.04,0.052275,0.4157033333333333
64,3,4,922,SS,1.0,25,0.04,0.2091,0.4157033333333333
64,3,4,922,SS,1.0,25,0.04,0.8364,0.4157033333333333
64,3,4,922,TT,1.0,25,0.00125,0.052275,0.4849055555555555
64,3,4,922,TT,1.0,25,0.00125,0.2091,0.4849055555555555
64,3,4,922,TT,1.0,25,0.00125,0.8364,0.4849055555555555
64,3,4,922,TT,1.0,25,0.005,0.052275,0.4849055555555555
64,3,4,922,TT,1.0,25,0.005,0.2091,0.4849055555555555
64,3,4,922,TT,1.0,25,0.005,0.8364,0.4849055555555555
64,3,4,922,TT,1.0,25,0.04,0.052275,0.4849055555555555
64,3,4,922,TT,1.0,25,0.04,0.2091,0.4849055555555555
64,3,4,922,TT,1.0,25,0.04,0.8364,0.4849055555555555
64,2,4,780,FF,1.0,25,0.00125,0.052275,0.4980888888888889
64,2,4,780,FF,1.0,25,0.00125,0.2091,0.4980888888888889
64,2,4,780,FF,1.0,25,0.00125,0.8364,0.4980888888888889
64,2,4,780,FF,1.0,25,0.005,0.052275,0.4980888888888889
64,2,4,780,FF,1.0,25,0.005,0.2091,0.4980888888888889
64,2,4,780,FF,1.0,25,0.005,0.8364,0.4980888888888889
64,2,4,780,FF,1.0,25,0.04,0.052275,0.4980888888888889
64,2,4,780,FF,1.0,25,0.04,0.2091,0.4980888888888889
64,2,4,780,FF,1.0,25,0.04,0.8364,0.4980888888888889
64,2,4,780,SS,1.0,25,0.00125,0.052275,0.37430555555555556
64,2,4,780,SS,1.0,25,0.00125,0.2091,0.37430555555555556
64,2,4,780,SS,1.0,25,0.00125,0.8364,0.37430555555555556
64,2,4,780,SS,1.0,25,0.005,0.052275,0.37430555555555556
64,2,4,780,SS,1.0,25,0.005,0.2091,0.37430555555555556
64,2,4,780,SS,1.0,25,0.005,0.8364,0.37430555555555556
64,2,4,780,SS,1.0,25,0.04,0.052275,0.37430555555555556
64,2,4,780,SS,1.0,25,0.04,0.2091,0.37430555555555556
64,2,4,780,SS,1.0,25,0.04,0.8364,0.37430555555555556
64,2,4,780,TT,1.0,25,0.00125,0.052275,0.43683
64,2,4,780,TT,1.0,25,0.00125,0.2091,0.43683
64,2,4,780,TT,1.0,25,0.00125,0.8364,0.43683
64,2,4,780,TT,1.0,25,0.005,0.052275,0.43683
64,2,4,780,TT,1.0,25,0.005,0.2091,0.43683
64,2,4,780,TT,1.0,25,0.005,0.8364,0.43683
64,2,4,780,TT,1.0,25,0.04,0.052275,0.43683
64,2,4,780,TT,1.0,25,0.04,0.2091,0.43683
64,2,4,780,TT,1.0,25,0.04,0.8364,0.43683
32,1,2,584,FF,1.0,25,0.00125,0.052275,0.41289444444444445
32,1,2,584,FF,1.0,25,0.00125,0.2091,0.41289444444444445
32,1,2,584,FF,1.0,25,0.00125,0.8364,0.41289444444444445
32,1,2,584,FF,1.0,25,0.005,0.052275,0.41289444444444445
32,1,2,584,FF,1.0,25,0.005,0.2091,0.41289444444444445
32,1,2,584,FF,1.0,25,0.005,0.8364,0.41289444444444445
32,1,2,584,FF,1.0,25,0.04,0.052275,0.41289444444444445
32,1,2,584,FF,1.0,25,0.04,0.2091,0.41289444444444445
32,1,2,584,FF,1.0,25,0.04,0.8364,0.41289444444444445
32,1,2,584,SS,1.0,25,0.00125,0.052275,0.3072488888888889
32,1,2,584,SS,1.0,25,0.00125,0.2091,0.3072488888888889
32,1,2,584,SS,1.0,25,0.00125,0.8364,0.3072488888888889
32,1,2,584,SS,1.0,25,0.005,0.052275,0.3072488888888889
32,1,2,584,SS,1.0,25,0.005,0.2091,0.3072488888888889
32,1,2,584,SS,1.0,25,0.005,0.8364,0.3072488888888889
32,1,2,584,SS,1.0,25,0.04,0.052275,0.3072488888888889
32,1,2,584,SS,1.0,25,0.04,0.2091,0.3072488888888889
32,1,2,584,SS,1.0,25,0.04,0.8364,0.3072488888888889
32,1,2,584,TT,1.0,25,0.00125,0.052275,0.3452
32,1,2,584,TT,1.0,25,0.00125,0.2091,0.3452
32,1,2,584,TT,1.0,25,0.00125,0.8364,0.3452
32,1,2,584,TT,1.0,25,0.005,0.052275,0.3452
32,1,2,584,TT,1.0,25,0.005,0.2091,0.3452
32,1,2,584,TT,1.0,25,0.005,0.8364,0.3452
32,1,2,584,TT,1.0,25,0.04,0.052275,0.3452
32,1,2,584,TT,1.0,25,0.04,0.2091,0.3452
32,1,2,584,TT,1.0,25,0.04,0.8364,0.3452
32,2,2,642,FF,1.0,25,0.00125,0.052275,0.43302222222222225
32,2,2,642,FF,1.0,25,0.00125,0.2091,0.43302222222222225
32,2,2,642,FF,1.0,25,0.00125,0.8364,0.43302222222222225
32,2,2,642,FF,1.0,25,0.005,0.052275,0.43302222222222225
32,2,2,642,FF,1.0,25,0.005,0.2091,0.43302222222222225
32,2,2,642,FF,1.0,25,0.005,0.8364,0.43302222222222225
32,2,2,642,FF,1.0,25,0.04,0.052275,0.43302222222222225
32,2,2,642,FF,1.0,25,0.04,0.2091,0.43302222222222225
32,2,2,642,FF,1.0,25,0.04,0.8364,0.43302222222222225
32,2,2,642,SS,1.0,25,0.00125,0.052275,0.33773888888888887
32,2,2,642,SS,1.0,25,0.00125,0.2091,0.33773888888888887
32,2,2,642,SS,1.0,25,0.00125,0.8364,0.33773888888888887
32,2,2,642,SS,1.0,25,0.005,0.052275,0.33773888888888887
32,2,2,642,SS,1.0,25,0.005,0.2091,0.33773888888888887
32,2,2,642,SS,1.0,25,0.005,0.8364,0.33773888888888887
32,2,2,642,SS,1.0,25,0.04,0.052275,0.33773888888888887
32,2,2,642,SS,1.0,25,0.04,0.2091,0.33773888888888887
32,2,2,642,SS,1.0,25,0.04,0.8364,0.33773888888888887
32,2,2,642,TT,1.0,25,0.00125,0.052275,0.3793722222222222
32,2,2,642,TT,1.0,25,0.00125,0.2091,0.3793722222222222
32,2,2,642,TT,1.0,25,0.00125,0.8364,0.3793722222222222
32,2,2,642,TT,1.0,25,0.005,0.052275,0.3793722222222222
32,2,2,642,TT,1.0,25,0.005,0.2091,0.3793722222222222
32,2,2,642,TT,1.0,25,0.005,0.8364,0.3793722222222222
32,2,2,642,TT,1.0,25,0.04,0.052275,0.3793722222222222
32,2,2,642,TT,1.0,25,0.04,0.2091,0.3793722222222222
32,2,2,642,TT,1.0,25,0.04,0.8364,0.3793722222222222
16,2,1,545,FF,1.0,25,0.00125,0.052275,0.39631555555555553
16,2,1,545,FF,1.0,25,0.00125,0.2091,0.39631555555555553
16,2,1,545,FF,1.0,25,0.00125,0.8364,0.39631555555555553
16,2,1,545,FF,1.0,25,0.005,0.052275,0.39631555555555553
16,2,1,545,FF,1.0,25,0.005,0.2091,0.39631555555555553
16,2,1,545,FF,1.0,25,0.005,0.8364,0.39631555555555553
16,2,1,545,FF,1.0,25,0.04,0.052275,0.39631555555555553
16,2,1,545,FF,1.0,25,0.04,0.2091,0.39631555555555553
16,2,1,545,FF,1.0,25,0.04,0.8364,0.39631555555555553
16,2,1,545,SS,1.0,25,0.00125,0.052275,0.3082988888888889
16,2,1,545,SS,1.0,25,0.00125,0.2091,0.3082988888888889
16,2,1,545,SS,1.0,25,0.00125,0.8364,0.3082988888888889
16,2,1,545,SS,1.0,25,0.005,0.052275,0.3082988888888889
16,2,1,545,SS,1.0,25,0.005,0.2091,0.3082988888888889
16,2,1,545,SS,1.0,25,0.005,0.8364,0.3082988888888889
16,2,1,545,SS,1.0,25,0.04,0.052275,0.3082988888888889
16,2,1,545,SS,1.0,25,0.04,0.2091,0.3082988888888889
16,2,1,545,SS,1.0,25,0.04,0.8364,0.3082988888888889
16,2,1,545,TT,1.0,25,0.00125,0.052275,0.34673
16,2,1,545,TT,1.0,25,0.00125,0.2091,0.34673
16,2,1,545,TT,1.0,25,0.00125,0.8364,0.34673
16,2,1,545,TT,1.0,25,0.005,0.052275,0.34673
16,2,1,545,TT,1.0,25,0.005,0.2091,0.34673
16,2,1,545,TT,1.0,25,0.005,0.8364,0.34673
16,2,1,545,TT,1.0,25,0.04,0.052275,0.34673
16,2,1,545,TT,1.0,25,0.04,0.2091,0.34673
16,2,1,545,TT,1.0,25,0.04,0.8364,0.34673
16,3,1,577,FF,1.0,25,0.00125,0.052275,0.42707555555555554
16,3,1,577,FF,1.0,25,0.00125,0.2091,0.42707555555555554
16,3,1,577,FF,1.0,25,0.00125,0.8364,0.42707555555555554
16,3,1,577,FF,1.0,25,0.005,0.052275,0.42707555555555554
16,3,1,577,FF,1.0,25,0.005,0.2091,0.42707555555555554
16,3,1,577,FF,1.0,25,0.005,0.8364,0.42707555555555554
16,3,1,577,FF,1.0,25,0.04,0.052275,0.42707555555555554
16,3,1,577,FF,1.0,25,0.04,0.2091,0.42707555555555554
16,3,1,577,FF,1.0,25,0.04,0.8364,0.42707555555555554
16,3,1,577,SS,1.0,25,0.00125,0.052275,0.3208011111111111
16,3,1,577,SS,1.0,25,0.00125,0.2091,0.3208011111111111
16,3,1,577,SS,1.0,25,0.00125,0.8364,0.3208011111111111
16,3,1,577,SS,1.0,25,0.005,0.052275,0.3208011111111111
16,3,1,577,SS,1.0,25,0.005,0.2091,0.3208011111111111
16,3,1,577,SS,1.0,25,0.005,0.8364,0.3208011111111111
16,3,1,577,SS,1.0,25,0.04,0.052275,0.3208011111111111
16,3,1,577,SS,1.0,25,0.04,0.2091,0.3208011111111111
16,3,1,577,SS,1.0,25,0.04,0.8364,0.3208011111111111
16,3,1,577,TT,1.0,25,0.00125,0.052275,0.37415
16,3,1,577,TT,1.0,25,0.00125,0.2091,0.37415
16,3,1,577,TT,1.0,25,0.00125,0.8364,0.37415
16,3,1,577,TT,1.0,25,0.005,0.052275,0.37415
16,3,1,577,TT,1.0,25,0.005,0.2091,0.37415
16,3,1,577,TT,1.0,25,0.005,0.8364,0.37415
16,3,1,577,TT,1.0,25,0.04,0.052275,0.37415
16,3,1,577,TT,1.0,25,0.04,0.2091,0.37415
16,3,1,577,TT,1.0,25,0.04,0.8364,0.37415
32,3,2,701,FF,1.0,25,0.00125,0.052275,0.48461444444444446
32,3,2,701,FF,1.0,25,0.00125,0.2091,0.48461444444444446
32,3,2,701,FF,1.0,25,0.00125,0.8364,0.48461444444444446
32,3,2,701,FF,1.0,25,0.005,0.052275,0.48461444444444446
32,3,2,701,FF,1.0,25,0.005,0.2091,0.48461444444444446
32,3,2,701,FF,1.0,25,0.005,0.8364,0.48461444444444446
32,3,2,701,FF,1.0,25,0.04,0.052275,0.48461444444444446
32,3,2,701,FF,1.0,25,0.04,0.2091,0.48461444444444446
32,3,2,701,FF,1.0,25,0.04,0.8364,0.48461444444444446
32,3,2,701,SS,1.0,25,0.00125,0.052275,0.36542555555555556
32,3,2,701,SS,1.0,25,0.00125,0.2091,0.36542555555555556
32,3,2,701,SS,1.0,25,0.00125,0.8364,0.36542555555555556
32,3,2,701,SS,1.0,25,0.005,0.052275,0.36542555555555556
32,3,2,701,SS,1.0,25,0.005,0.2091,0.36542555555555556
32,3,2,701,SS,1.0,25,0.005,0.8364,0.36542555555555556
32,3,2,701,SS,1.0,25,0.04,0.052275,0.36542555555555556
32,3,2,701,SS,1.0,25,0.04,0.2091,0.36542555555555556
32,3,2,701,SS,1.0,25,0.04,0.8364,0.36542555555555556
32,3,2,701,TT,1.0,25,0.00125,0.052275,0.4254733333333333
32,3,2,701,TT,1.0,25,0.00125,0.2091,0.4254733333333333
32,3,2,701,TT,1.0,25,0.00125,0.8364,0.4254733333333333
32,3,2,701,TT,1.0,25,0.005,0.052275,0.4254733333333333
32,3,2,701,TT,1.0,25,0.005,0.2091,0.4254733333333333
32,3,2,701,TT,1.0,25,0.005,0.8364,0.4254733333333333
32,3,2,701,TT,1.0,25,0.04,0.052275,0.4254733333333333
32,3,2,701,TT,1.0,25,0.04,0.2091,0.4254733333333333
32,3,2,701,TT,1.0,25,0.04,0.8364,0.4254733333333333
16,1,1,512,FF,1.0,25,0.00125,0.052275,0.3644511111111111
16,1,1,512,FF,1.0,25,0.00125,0.2091,0.3644511111111111
16,1,1,512,FF,1.0,25,0.00125,0.8364,0.3644511111111111
16,1,1,512,FF,1.0,25,0.005,0.052275,0.3644511111111111
16,1,1,512,FF,1.0,25,0.005,0.2091,0.3644511111111111
16,1,1,512,FF,1.0,25,0.005,0.8364,0.3644511111111111
16,1,1,512,FF,1.0,25,0.04,0.052275,0.3644511111111111
16,1,1,512,FF,1.0,25,0.04,0.2091,0.3644511111111111
16,1,1,512,FF,1.0,25,0.04,0.8364,0.3644511111111111
16,1,1,512,SS,1.0,25,0.00125,0.052275,0.2822922222222222
16,1,1,512,SS,1.0,25,0.00125,0.2091,0.2822922222222222
16,1,1,512,SS,1.0,25,0.00125,0.8364,0.2822922222222222
16,1,1,512,SS,1.0,25,0.005,0.052275,0.2822922222222222
16,1,1,512,SS,1.0,25,0.005,0.2091,0.2822922222222222
16,1,1,512,SS,1.0,25,0.005,0.8364,0.2822922222222222
16,1,1,512,SS,1.0,25,0.04,0.052275,0.2822922222222222
16,1,1,512,SS,1.0,25,0.04,0.2091,0.2822922222222222
16,1,1,512,SS,1.0,25,0.04,0.8364,0.2822922222222222
16,1,1,512,TT,1.0,25,0.00125,0.052275,0.31802888888888886
16,1,1,512,TT,1.0,25,0.00125,0.2091,0.31802888888888886
16,1,1,512,TT,1.0,25,0.00125,0.8364,0.31802888888888886
16,1,1,512,TT,1.0,25,0.005,0.052275,0.31802888888888886
16,1,1,512,TT,1.0,25,0.005,0.2091,0.31802888888888886
16,1,1,512,TT,1.0,25,0.005,0.8364,0.31802888888888886
16,1,1,512,TT,1.0,25,0.04,0.052275,0.31802888888888886
16,1,1,512,TT,1.0,25,0.04,0.2091,0.31802888888888886
16,1,1,512,TT,1.0,25,0.04,0.8364,0.31802888888888886
1 num_words word_size words_per_row area process voltage temperature slew load read0_power
2 64 3 4 922 FF 1.0 25 0.00125 0.052275 0.5530577777777778
3 64 3 4 922 FF 1.0 25 0.00125 0.2091 0.5530577777777778
4 64 3 4 922 FF 1.0 25 0.00125 0.8364 0.5530577777777778
5 64 3 4 922 FF 1.0 25 0.005 0.052275 0.5530577777777778
6 64 3 4 922 FF 1.0 25 0.005 0.2091 0.5530577777777778
7 64 3 4 922 FF 1.0 25 0.005 0.8364 0.5530577777777778
8 64 3 4 922 FF 1.0 25 0.04 0.052275 0.5530577777777778
9 64 3 4 922 FF 1.0 25 0.04 0.2091 0.5530577777777778
10 64 3 4 922 FF 1.0 25 0.04 0.8364 0.5530577777777778
11 64 3 4 922 SS 1.0 25 0.00125 0.052275 0.4157033333333333
12 64 3 4 922 SS 1.0 25 0.00125 0.2091 0.4157033333333333
13 64 3 4 922 SS 1.0 25 0.00125 0.8364 0.4157033333333333
14 64 3 4 922 SS 1.0 25 0.005 0.052275 0.4157033333333333
15 64 3 4 922 SS 1.0 25 0.005 0.2091 0.4157033333333333
16 64 3 4 922 SS 1.0 25 0.005 0.8364 0.4157033333333333
17 64 3 4 922 SS 1.0 25 0.04 0.052275 0.4157033333333333
18 64 3 4 922 SS 1.0 25 0.04 0.2091 0.4157033333333333
19 64 3 4 922 SS 1.0 25 0.04 0.8364 0.4157033333333333
20 64 3 4 922 TT 1.0 25 0.00125 0.052275 0.4849055555555555
21 64 3 4 922 TT 1.0 25 0.00125 0.2091 0.4849055555555555
22 64 3 4 922 TT 1.0 25 0.00125 0.8364 0.4849055555555555
23 64 3 4 922 TT 1.0 25 0.005 0.052275 0.4849055555555555
24 64 3 4 922 TT 1.0 25 0.005 0.2091 0.4849055555555555
25 64 3 4 922 TT 1.0 25 0.005 0.8364 0.4849055555555555
26 64 3 4 922 TT 1.0 25 0.04 0.052275 0.4849055555555555
27 64 3 4 922 TT 1.0 25 0.04 0.2091 0.4849055555555555
28 64 3 4 922 TT 1.0 25 0.04 0.8364 0.4849055555555555
29 64 2 4 780 FF 1.0 25 0.00125 0.052275 0.4980888888888889
30 64 2 4 780 FF 1.0 25 0.00125 0.2091 0.4980888888888889
31 64 2 4 780 FF 1.0 25 0.00125 0.8364 0.4980888888888889
32 64 2 4 780 FF 1.0 25 0.005 0.052275 0.4980888888888889
33 64 2 4 780 FF 1.0 25 0.005 0.2091 0.4980888888888889
34 64 2 4 780 FF 1.0 25 0.005 0.8364 0.4980888888888889
35 64 2 4 780 FF 1.0 25 0.04 0.052275 0.4980888888888889
36 64 2 4 780 FF 1.0 25 0.04 0.2091 0.4980888888888889
37 64 2 4 780 FF 1.0 25 0.04 0.8364 0.4980888888888889
38 64 2 4 780 SS 1.0 25 0.00125 0.052275 0.37430555555555556
39 64 2 4 780 SS 1.0 25 0.00125 0.2091 0.37430555555555556
40 64 2 4 780 SS 1.0 25 0.00125 0.8364 0.37430555555555556
41 64 2 4 780 SS 1.0 25 0.005 0.052275 0.37430555555555556
42 64 2 4 780 SS 1.0 25 0.005 0.2091 0.37430555555555556
43 64 2 4 780 SS 1.0 25 0.005 0.8364 0.37430555555555556
44 64 2 4 780 SS 1.0 25 0.04 0.052275 0.37430555555555556
45 64 2 4 780 SS 1.0 25 0.04 0.2091 0.37430555555555556
46 64 2 4 780 SS 1.0 25 0.04 0.8364 0.37430555555555556
47 64 2 4 780 TT 1.0 25 0.00125 0.052275 0.43683
48 64 2 4 780 TT 1.0 25 0.00125 0.2091 0.43683
49 64 2 4 780 TT 1.0 25 0.00125 0.8364 0.43683
50 64 2 4 780 TT 1.0 25 0.005 0.052275 0.43683
51 64 2 4 780 TT 1.0 25 0.005 0.2091 0.43683
52 64 2 4 780 TT 1.0 25 0.005 0.8364 0.43683
53 64 2 4 780 TT 1.0 25 0.04 0.052275 0.43683
54 64 2 4 780 TT 1.0 25 0.04 0.2091 0.43683
55 64 2 4 780 TT 1.0 25 0.04 0.8364 0.43683
56 32 1 2 584 FF 1.0 25 0.00125 0.052275 0.41289444444444445
57 32 1 2 584 FF 1.0 25 0.00125 0.2091 0.41289444444444445
58 32 1 2 584 FF 1.0 25 0.00125 0.8364 0.41289444444444445
59 32 1 2 584 FF 1.0 25 0.005 0.052275 0.41289444444444445
60 32 1 2 584 FF 1.0 25 0.005 0.2091 0.41289444444444445
61 32 1 2 584 FF 1.0 25 0.005 0.8364 0.41289444444444445
62 32 1 2 584 FF 1.0 25 0.04 0.052275 0.41289444444444445
63 32 1 2 584 FF 1.0 25 0.04 0.2091 0.41289444444444445
64 32 1 2 584 FF 1.0 25 0.04 0.8364 0.41289444444444445
65 32 1 2 584 SS 1.0 25 0.00125 0.052275 0.3072488888888889
66 32 1 2 584 SS 1.0 25 0.00125 0.2091 0.3072488888888889
67 32 1 2 584 SS 1.0 25 0.00125 0.8364 0.3072488888888889
68 32 1 2 584 SS 1.0 25 0.005 0.052275 0.3072488888888889
69 32 1 2 584 SS 1.0 25 0.005 0.2091 0.3072488888888889
70 32 1 2 584 SS 1.0 25 0.005 0.8364 0.3072488888888889
71 32 1 2 584 SS 1.0 25 0.04 0.052275 0.3072488888888889
72 32 1 2 584 SS 1.0 25 0.04 0.2091 0.3072488888888889
73 32 1 2 584 SS 1.0 25 0.04 0.8364 0.3072488888888889
74 32 1 2 584 TT 1.0 25 0.00125 0.052275 0.3452
75 32 1 2 584 TT 1.0 25 0.00125 0.2091 0.3452
76 32 1 2 584 TT 1.0 25 0.00125 0.8364 0.3452
77 32 1 2 584 TT 1.0 25 0.005 0.052275 0.3452
78 32 1 2 584 TT 1.0 25 0.005 0.2091 0.3452
79 32 1 2 584 TT 1.0 25 0.005 0.8364 0.3452
80 32 1 2 584 TT 1.0 25 0.04 0.052275 0.3452
81 32 1 2 584 TT 1.0 25 0.04 0.2091 0.3452
82 32 1 2 584 TT 1.0 25 0.04 0.8364 0.3452
83 32 2 2 642 FF 1.0 25 0.00125 0.052275 0.43302222222222225
84 32 2 2 642 FF 1.0 25 0.00125 0.2091 0.43302222222222225
85 32 2 2 642 FF 1.0 25 0.00125 0.8364 0.43302222222222225
86 32 2 2 642 FF 1.0 25 0.005 0.052275 0.43302222222222225
87 32 2 2 642 FF 1.0 25 0.005 0.2091 0.43302222222222225
88 32 2 2 642 FF 1.0 25 0.005 0.8364 0.43302222222222225
89 32 2 2 642 FF 1.0 25 0.04 0.052275 0.43302222222222225
90 32 2 2 642 FF 1.0 25 0.04 0.2091 0.43302222222222225
91 32 2 2 642 FF 1.0 25 0.04 0.8364 0.43302222222222225
92 32 2 2 642 SS 1.0 25 0.00125 0.052275 0.33773888888888887
93 32 2 2 642 SS 1.0 25 0.00125 0.2091 0.33773888888888887
94 32 2 2 642 SS 1.0 25 0.00125 0.8364 0.33773888888888887
95 32 2 2 642 SS 1.0 25 0.005 0.052275 0.33773888888888887
96 32 2 2 642 SS 1.0 25 0.005 0.2091 0.33773888888888887
97 32 2 2 642 SS 1.0 25 0.005 0.8364 0.33773888888888887
98 32 2 2 642 SS 1.0 25 0.04 0.052275 0.33773888888888887
99 32 2 2 642 SS 1.0 25 0.04 0.2091 0.33773888888888887
100 32 2 2 642 SS 1.0 25 0.04 0.8364 0.33773888888888887
101 32 2 2 642 TT 1.0 25 0.00125 0.052275 0.3793722222222222
102 32 2 2 642 TT 1.0 25 0.00125 0.2091 0.3793722222222222
103 32 2 2 642 TT 1.0 25 0.00125 0.8364 0.3793722222222222
104 32 2 2 642 TT 1.0 25 0.005 0.052275 0.3793722222222222
105 32 2 2 642 TT 1.0 25 0.005 0.2091 0.3793722222222222
106 32 2 2 642 TT 1.0 25 0.005 0.8364 0.3793722222222222
107 32 2 2 642 TT 1.0 25 0.04 0.052275 0.3793722222222222
108 32 2 2 642 TT 1.0 25 0.04 0.2091 0.3793722222222222
109 32 2 2 642 TT 1.0 25 0.04 0.8364 0.3793722222222222
110 16 2 1 545 FF 1.0 25 0.00125 0.052275 0.39631555555555553
111 16 2 1 545 FF 1.0 25 0.00125 0.2091 0.39631555555555553
112 16 2 1 545 FF 1.0 25 0.00125 0.8364 0.39631555555555553
113 16 2 1 545 FF 1.0 25 0.005 0.052275 0.39631555555555553
114 16 2 1 545 FF 1.0 25 0.005 0.2091 0.39631555555555553
115 16 2 1 545 FF 1.0 25 0.005 0.8364 0.39631555555555553
116 16 2 1 545 FF 1.0 25 0.04 0.052275 0.39631555555555553
117 16 2 1 545 FF 1.0 25 0.04 0.2091 0.39631555555555553
118 16 2 1 545 FF 1.0 25 0.04 0.8364 0.39631555555555553
119 16 2 1 545 SS 1.0 25 0.00125 0.052275 0.3082988888888889
120 16 2 1 545 SS 1.0 25 0.00125 0.2091 0.3082988888888889
121 16 2 1 545 SS 1.0 25 0.00125 0.8364 0.3082988888888889
122 16 2 1 545 SS 1.0 25 0.005 0.052275 0.3082988888888889
123 16 2 1 545 SS 1.0 25 0.005 0.2091 0.3082988888888889
124 16 2 1 545 SS 1.0 25 0.005 0.8364 0.3082988888888889
125 16 2 1 545 SS 1.0 25 0.04 0.052275 0.3082988888888889
126 16 2 1 545 SS 1.0 25 0.04 0.2091 0.3082988888888889
127 16 2 1 545 SS 1.0 25 0.04 0.8364 0.3082988888888889
128 16 2 1 545 TT 1.0 25 0.00125 0.052275 0.34673
129 16 2 1 545 TT 1.0 25 0.00125 0.2091 0.34673
130 16 2 1 545 TT 1.0 25 0.00125 0.8364 0.34673
131 16 2 1 545 TT 1.0 25 0.005 0.052275 0.34673
132 16 2 1 545 TT 1.0 25 0.005 0.2091 0.34673
133 16 2 1 545 TT 1.0 25 0.005 0.8364 0.34673
134 16 2 1 545 TT 1.0 25 0.04 0.052275 0.34673
135 16 2 1 545 TT 1.0 25 0.04 0.2091 0.34673
136 16 2 1 545 TT 1.0 25 0.04 0.8364 0.34673
137 16 3 1 577 FF 1.0 25 0.00125 0.052275 0.42707555555555554
138 16 3 1 577 FF 1.0 25 0.00125 0.2091 0.42707555555555554
139 16 3 1 577 FF 1.0 25 0.00125 0.8364 0.42707555555555554
140 16 3 1 577 FF 1.0 25 0.005 0.052275 0.42707555555555554
141 16 3 1 577 FF 1.0 25 0.005 0.2091 0.42707555555555554
142 16 3 1 577 FF 1.0 25 0.005 0.8364 0.42707555555555554
143 16 3 1 577 FF 1.0 25 0.04 0.052275 0.42707555555555554
144 16 3 1 577 FF 1.0 25 0.04 0.2091 0.42707555555555554
145 16 3 1 577 FF 1.0 25 0.04 0.8364 0.42707555555555554
146 16 3 1 577 SS 1.0 25 0.00125 0.052275 0.3208011111111111
147 16 3 1 577 SS 1.0 25 0.00125 0.2091 0.3208011111111111
148 16 3 1 577 SS 1.0 25 0.00125 0.8364 0.3208011111111111
149 16 3 1 577 SS 1.0 25 0.005 0.052275 0.3208011111111111
150 16 3 1 577 SS 1.0 25 0.005 0.2091 0.3208011111111111
151 16 3 1 577 SS 1.0 25 0.005 0.8364 0.3208011111111111
152 16 3 1 577 SS 1.0 25 0.04 0.052275 0.3208011111111111
153 16 3 1 577 SS 1.0 25 0.04 0.2091 0.3208011111111111
154 16 3 1 577 SS 1.0 25 0.04 0.8364 0.3208011111111111
155 16 3 1 577 TT 1.0 25 0.00125 0.052275 0.37415
156 16 3 1 577 TT 1.0 25 0.00125 0.2091 0.37415
157 16 3 1 577 TT 1.0 25 0.00125 0.8364 0.37415
158 16 3 1 577 TT 1.0 25 0.005 0.052275 0.37415
159 16 3 1 577 TT 1.0 25 0.005 0.2091 0.37415
160 16 3 1 577 TT 1.0 25 0.005 0.8364 0.37415
161 16 3 1 577 TT 1.0 25 0.04 0.052275 0.37415
162 16 3 1 577 TT 1.0 25 0.04 0.2091 0.37415
163 16 3 1 577 TT 1.0 25 0.04 0.8364 0.37415
164 32 3 2 701 FF 1.0 25 0.00125 0.052275 0.48461444444444446
165 32 3 2 701 FF 1.0 25 0.00125 0.2091 0.48461444444444446
166 32 3 2 701 FF 1.0 25 0.00125 0.8364 0.48461444444444446
167 32 3 2 701 FF 1.0 25 0.005 0.052275 0.48461444444444446
168 32 3 2 701 FF 1.0 25 0.005 0.2091 0.48461444444444446
169 32 3 2 701 FF 1.0 25 0.005 0.8364 0.48461444444444446
170 32 3 2 701 FF 1.0 25 0.04 0.052275 0.48461444444444446
171 32 3 2 701 FF 1.0 25 0.04 0.2091 0.48461444444444446
172 32 3 2 701 FF 1.0 25 0.04 0.8364 0.48461444444444446
173 32 3 2 701 SS 1.0 25 0.00125 0.052275 0.36542555555555556
174 32 3 2 701 SS 1.0 25 0.00125 0.2091 0.36542555555555556
175 32 3 2 701 SS 1.0 25 0.00125 0.8364 0.36542555555555556
176 32 3 2 701 SS 1.0 25 0.005 0.052275 0.36542555555555556
177 32 3 2 701 SS 1.0 25 0.005 0.2091 0.36542555555555556
178 32 3 2 701 SS 1.0 25 0.005 0.8364 0.36542555555555556
179 32 3 2 701 SS 1.0 25 0.04 0.052275 0.36542555555555556
180 32 3 2 701 SS 1.0 25 0.04 0.2091 0.36542555555555556
181 32 3 2 701 SS 1.0 25 0.04 0.8364 0.36542555555555556
182 32 3 2 701 TT 1.0 25 0.00125 0.052275 0.4254733333333333
183 32 3 2 701 TT 1.0 25 0.00125 0.2091 0.4254733333333333
184 32 3 2 701 TT 1.0 25 0.00125 0.8364 0.4254733333333333
185 32 3 2 701 TT 1.0 25 0.005 0.052275 0.4254733333333333
186 32 3 2 701 TT 1.0 25 0.005 0.2091 0.4254733333333333
187 32 3 2 701 TT 1.0 25 0.005 0.8364 0.4254733333333333
188 32 3 2 701 TT 1.0 25 0.04 0.052275 0.4254733333333333
189 32 3 2 701 TT 1.0 25 0.04 0.2091 0.4254733333333333
190 32 3 2 701 TT 1.0 25 0.04 0.8364 0.4254733333333333
191 16 1 1 512 FF 1.0 25 0.00125 0.052275 0.3644511111111111
192 16 1 1 512 FF 1.0 25 0.00125 0.2091 0.3644511111111111
193 16 1 1 512 FF 1.0 25 0.00125 0.8364 0.3644511111111111
194 16 1 1 512 FF 1.0 25 0.005 0.052275 0.3644511111111111
195 16 1 1 512 FF 1.0 25 0.005 0.2091 0.3644511111111111
196 16 1 1 512 FF 1.0 25 0.005 0.8364 0.3644511111111111
197 16 1 1 512 FF 1.0 25 0.04 0.052275 0.3644511111111111
198 16 1 1 512 FF 1.0 25 0.04 0.2091 0.3644511111111111
199 16 1 1 512 FF 1.0 25 0.04 0.8364 0.3644511111111111
200 16 1 1 512 SS 1.0 25 0.00125 0.052275 0.2822922222222222
201 16 1 1 512 SS 1.0 25 0.00125 0.2091 0.2822922222222222
202 16 1 1 512 SS 1.0 25 0.00125 0.8364 0.2822922222222222
203 16 1 1 512 SS 1.0 25 0.005 0.052275 0.2822922222222222
204 16 1 1 512 SS 1.0 25 0.005 0.2091 0.2822922222222222
205 16 1 1 512 SS 1.0 25 0.005 0.8364 0.2822922222222222
206 16 1 1 512 SS 1.0 25 0.04 0.052275 0.2822922222222222
207 16 1 1 512 SS 1.0 25 0.04 0.2091 0.2822922222222222
208 16 1 1 512 SS 1.0 25 0.04 0.8364 0.2822922222222222
209 16 1 1 512 TT 1.0 25 0.00125 0.052275 0.31802888888888886
210 16 1 1 512 TT 1.0 25 0.00125 0.2091 0.31802888888888886
211 16 1 1 512 TT 1.0 25 0.00125 0.8364 0.31802888888888886
212 16 1 1 512 TT 1.0 25 0.005 0.052275 0.31802888888888886
213 16 1 1 512 TT 1.0 25 0.005 0.2091 0.31802888888888886
214 16 1 1 512 TT 1.0 25 0.005 0.8364 0.31802888888888886
215 16 1 1 512 TT 1.0 25 0.04 0.052275 0.31802888888888886
216 16 1 1 512 TT 1.0 25 0.04 0.2091 0.31802888888888886
217 16 1 1 512 TT 1.0 25 0.04 0.8364 0.31802888888888886

View File

@ -1,217 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,read1_power
64,3,4,922,FF,1.0,25,0.00125,0.052275,0.5523799999999999
64,3,4,922,FF,1.0,25,0.00125,0.2091,0.5523799999999999
64,3,4,922,FF,1.0,25,0.00125,0.8364,0.5523799999999999
64,3,4,922,FF,1.0,25,0.005,0.052275,0.5523799999999999
64,3,4,922,FF,1.0,25,0.005,0.2091,0.5523799999999999
64,3,4,922,FF,1.0,25,0.005,0.8364,0.5523799999999999
64,3,4,922,FF,1.0,25,0.04,0.052275,0.5523799999999999
64,3,4,922,FF,1.0,25,0.04,0.2091,0.5523799999999999
64,3,4,922,FF,1.0,25,0.04,0.8364,0.5523799999999999
64,3,4,922,SS,1.0,25,0.00125,0.052275,0.4153288888888889
64,3,4,922,SS,1.0,25,0.00125,0.2091,0.4153288888888889
64,3,4,922,SS,1.0,25,0.00125,0.8364,0.4153288888888889
64,3,4,922,SS,1.0,25,0.005,0.052275,0.4153288888888889
64,3,4,922,SS,1.0,25,0.005,0.2091,0.4153288888888889
64,3,4,922,SS,1.0,25,0.005,0.8364,0.4153288888888889
64,3,4,922,SS,1.0,25,0.04,0.052275,0.4153288888888889
64,3,4,922,SS,1.0,25,0.04,0.2091,0.4153288888888889
64,3,4,922,SS,1.0,25,0.04,0.8364,0.4153288888888889
64,3,4,922,TT,1.0,25,0.00125,0.052275,0.48412777777777777
64,3,4,922,TT,1.0,25,0.00125,0.2091,0.48412777777777777
64,3,4,922,TT,1.0,25,0.00125,0.8364,0.48412777777777777
64,3,4,922,TT,1.0,25,0.005,0.052275,0.48412777777777777
64,3,4,922,TT,1.0,25,0.005,0.2091,0.48412777777777777
64,3,4,922,TT,1.0,25,0.005,0.8364,0.48412777777777777
64,3,4,922,TT,1.0,25,0.04,0.052275,0.48412777777777777
64,3,4,922,TT,1.0,25,0.04,0.2091,0.48412777777777777
64,3,4,922,TT,1.0,25,0.04,0.8364,0.48412777777777777
64,2,4,780,FF,1.0,25,0.00125,0.052275,0.49752777777777774
64,2,4,780,FF,1.0,25,0.00125,0.2091,0.49752777777777774
64,2,4,780,FF,1.0,25,0.00125,0.8364,0.49752777777777774
64,2,4,780,FF,1.0,25,0.005,0.052275,0.49752777777777774
64,2,4,780,FF,1.0,25,0.005,0.2091,0.49752777777777774
64,2,4,780,FF,1.0,25,0.005,0.8364,0.49752777777777774
64,2,4,780,FF,1.0,25,0.04,0.052275,0.49752777777777774
64,2,4,780,FF,1.0,25,0.04,0.2091,0.49752777777777774
64,2,4,780,FF,1.0,25,0.04,0.8364,0.49752777777777774
64,2,4,780,SS,1.0,25,0.00125,0.052275,0.37363111111111114
64,2,4,780,SS,1.0,25,0.00125,0.2091,0.37363111111111114
64,2,4,780,SS,1.0,25,0.00125,0.8364,0.37363111111111114
64,2,4,780,SS,1.0,25,0.005,0.052275,0.37363111111111114
64,2,4,780,SS,1.0,25,0.005,0.2091,0.37363111111111114
64,2,4,780,SS,1.0,25,0.005,0.8364,0.37363111111111114
64,2,4,780,SS,1.0,25,0.04,0.052275,0.37363111111111114
64,2,4,780,SS,1.0,25,0.04,0.2091,0.37363111111111114
64,2,4,780,SS,1.0,25,0.04,0.8364,0.37363111111111114
64,2,4,780,TT,1.0,25,0.00125,0.052275,0.43609
64,2,4,780,TT,1.0,25,0.00125,0.2091,0.43609
64,2,4,780,TT,1.0,25,0.00125,0.8364,0.43609
64,2,4,780,TT,1.0,25,0.005,0.052275,0.43609
64,2,4,780,TT,1.0,25,0.005,0.2091,0.43609
64,2,4,780,TT,1.0,25,0.005,0.8364,0.43609
64,2,4,780,TT,1.0,25,0.04,0.052275,0.43609
64,2,4,780,TT,1.0,25,0.04,0.2091,0.43609
64,2,4,780,TT,1.0,25,0.04,0.8364,0.43609
32,1,2,584,FF,1.0,25,0.00125,0.052275,0.41303
32,1,2,584,FF,1.0,25,0.00125,0.2091,0.41303
32,1,2,584,FF,1.0,25,0.00125,0.8364,0.41303
32,1,2,584,FF,1.0,25,0.005,0.052275,0.41303
32,1,2,584,FF,1.0,25,0.005,0.2091,0.41303
32,1,2,584,FF,1.0,25,0.005,0.8364,0.41303
32,1,2,584,FF,1.0,25,0.04,0.052275,0.41303
32,1,2,584,FF,1.0,25,0.04,0.2091,0.41303
32,1,2,584,FF,1.0,25,0.04,0.8364,0.41303
32,1,2,584,SS,1.0,25,0.00125,0.052275,0.30725222222222226
32,1,2,584,SS,1.0,25,0.00125,0.2091,0.30725222222222226
32,1,2,584,SS,1.0,25,0.00125,0.8364,0.30725222222222226
32,1,2,584,SS,1.0,25,0.005,0.052275,0.30725222222222226
32,1,2,584,SS,1.0,25,0.005,0.2091,0.30725222222222226
32,1,2,584,SS,1.0,25,0.005,0.8364,0.30725222222222226
32,1,2,584,SS,1.0,25,0.04,0.052275,0.30725222222222226
32,1,2,584,SS,1.0,25,0.04,0.2091,0.30725222222222226
32,1,2,584,SS,1.0,25,0.04,0.8364,0.30725222222222226
32,1,2,584,TT,1.0,25,0.00125,0.052275,0.3453111111111111
32,1,2,584,TT,1.0,25,0.00125,0.2091,0.3453111111111111
32,1,2,584,TT,1.0,25,0.00125,0.8364,0.3453111111111111
32,1,2,584,TT,1.0,25,0.005,0.052275,0.3453111111111111
32,1,2,584,TT,1.0,25,0.005,0.2091,0.3453111111111111
32,1,2,584,TT,1.0,25,0.005,0.8364,0.3453111111111111
32,1,2,584,TT,1.0,25,0.04,0.052275,0.3453111111111111
32,1,2,584,TT,1.0,25,0.04,0.2091,0.3453111111111111
32,1,2,584,TT,1.0,25,0.04,0.8364,0.3453111111111111
32,2,2,642,FF,1.0,25,0.00125,0.052275,0.43318
32,2,2,642,FF,1.0,25,0.00125,0.2091,0.43318
32,2,2,642,FF,1.0,25,0.00125,0.8364,0.43318
32,2,2,642,FF,1.0,25,0.005,0.052275,0.43318
32,2,2,642,FF,1.0,25,0.005,0.2091,0.43318
32,2,2,642,FF,1.0,25,0.005,0.8364,0.43318
32,2,2,642,FF,1.0,25,0.04,0.052275,0.43318
32,2,2,642,FF,1.0,25,0.04,0.2091,0.43318
32,2,2,642,FF,1.0,25,0.04,0.8364,0.43318
32,2,2,642,SS,1.0,25,0.00125,0.052275,0.33794555555555555
32,2,2,642,SS,1.0,25,0.00125,0.2091,0.33794555555555555
32,2,2,642,SS,1.0,25,0.00125,0.8364,0.33794555555555555
32,2,2,642,SS,1.0,25,0.005,0.052275,0.33794555555555555
32,2,2,642,SS,1.0,25,0.005,0.2091,0.33794555555555555
32,2,2,642,SS,1.0,25,0.005,0.8364,0.33794555555555555
32,2,2,642,SS,1.0,25,0.04,0.052275,0.33794555555555555
32,2,2,642,SS,1.0,25,0.04,0.2091,0.33794555555555555
32,2,2,642,SS,1.0,25,0.04,0.8364,0.33794555555555555
32,2,2,642,TT,1.0,25,0.00125,0.052275,0.37956999999999996
32,2,2,642,TT,1.0,25,0.00125,0.2091,0.37956999999999996
32,2,2,642,TT,1.0,25,0.00125,0.8364,0.37956999999999996
32,2,2,642,TT,1.0,25,0.005,0.052275,0.37956999999999996
32,2,2,642,TT,1.0,25,0.005,0.2091,0.37956999999999996
32,2,2,642,TT,1.0,25,0.005,0.8364,0.37956999999999996
32,2,2,642,TT,1.0,25,0.04,0.052275,0.37956999999999996
32,2,2,642,TT,1.0,25,0.04,0.2091,0.37956999999999996
32,2,2,642,TT,1.0,25,0.04,0.8364,0.37956999999999996
16,2,1,545,FF,1.0,25,0.00125,0.052275,0.3962455555555555
16,2,1,545,FF,1.0,25,0.00125,0.2091,0.3962455555555555
16,2,1,545,FF,1.0,25,0.00125,0.8364,0.3962455555555555
16,2,1,545,FF,1.0,25,0.005,0.052275,0.3962455555555555
16,2,1,545,FF,1.0,25,0.005,0.2091,0.3962455555555555
16,2,1,545,FF,1.0,25,0.005,0.8364,0.3962455555555555
16,2,1,545,FF,1.0,25,0.04,0.052275,0.3962455555555555
16,2,1,545,FF,1.0,25,0.04,0.2091,0.3962455555555555
16,2,1,545,FF,1.0,25,0.04,0.8364,0.3962455555555555
16,2,1,545,SS,1.0,25,0.00125,0.052275,0.3082555555555555
16,2,1,545,SS,1.0,25,0.00125,0.2091,0.3082555555555555
16,2,1,545,SS,1.0,25,0.00125,0.8364,0.3082555555555555
16,2,1,545,SS,1.0,25,0.005,0.052275,0.3082555555555555
16,2,1,545,SS,1.0,25,0.005,0.2091,0.3082555555555555
16,2,1,545,SS,1.0,25,0.005,0.8364,0.3082555555555555
16,2,1,545,SS,1.0,25,0.04,0.052275,0.3082555555555555
16,2,1,545,SS,1.0,25,0.04,0.2091,0.3082555555555555
16,2,1,545,SS,1.0,25,0.04,0.8364,0.3082555555555555
16,2,1,545,TT,1.0,25,0.00125,0.052275,0.3466588888888889
16,2,1,545,TT,1.0,25,0.00125,0.2091,0.3466588888888889
16,2,1,545,TT,1.0,25,0.00125,0.8364,0.3466588888888889
16,2,1,545,TT,1.0,25,0.005,0.052275,0.3466588888888889
16,2,1,545,TT,1.0,25,0.005,0.2091,0.3466588888888889
16,2,1,545,TT,1.0,25,0.005,0.8364,0.3466588888888889
16,2,1,545,TT,1.0,25,0.04,0.052275,0.3466588888888889
16,2,1,545,TT,1.0,25,0.04,0.2091,0.3466588888888889
16,2,1,545,TT,1.0,25,0.04,0.8364,0.3466588888888889
16,3,1,577,FF,1.0,25,0.00125,0.052275,0.4269344444444444
16,3,1,577,FF,1.0,25,0.00125,0.2091,0.4269344444444444
16,3,1,577,FF,1.0,25,0.00125,0.8364,0.4269344444444444
16,3,1,577,FF,1.0,25,0.005,0.052275,0.4269344444444444
16,3,1,577,FF,1.0,25,0.005,0.2091,0.4269344444444444
16,3,1,577,FF,1.0,25,0.005,0.8364,0.4269344444444444
16,3,1,577,FF,1.0,25,0.04,0.052275,0.4269344444444444
16,3,1,577,FF,1.0,25,0.04,0.2091,0.4269344444444444
16,3,1,577,FF,1.0,25,0.04,0.8364,0.4269344444444444
16,3,1,577,SS,1.0,25,0.00125,0.052275,0.32067333333333337
16,3,1,577,SS,1.0,25,0.00125,0.2091,0.32067333333333337
16,3,1,577,SS,1.0,25,0.00125,0.8364,0.32067333333333337
16,3,1,577,SS,1.0,25,0.005,0.052275,0.32067333333333337
16,3,1,577,SS,1.0,25,0.005,0.2091,0.32067333333333337
16,3,1,577,SS,1.0,25,0.005,0.8364,0.32067333333333337
16,3,1,577,SS,1.0,25,0.04,0.052275,0.32067333333333337
16,3,1,577,SS,1.0,25,0.04,0.2091,0.32067333333333337
16,3,1,577,SS,1.0,25,0.04,0.8364,0.32067333333333337
16,3,1,577,TT,1.0,25,0.00125,0.052275,0.3741288888888889
16,3,1,577,TT,1.0,25,0.00125,0.2091,0.3741288888888889
16,3,1,577,TT,1.0,25,0.00125,0.8364,0.3741288888888889
16,3,1,577,TT,1.0,25,0.005,0.052275,0.3741288888888889
16,3,1,577,TT,1.0,25,0.005,0.2091,0.3741288888888889
16,3,1,577,TT,1.0,25,0.005,0.8364,0.3741288888888889
16,3,1,577,TT,1.0,25,0.04,0.052275,0.3741288888888889
16,3,1,577,TT,1.0,25,0.04,0.2091,0.3741288888888889
16,3,1,577,TT,1.0,25,0.04,0.8364,0.3741288888888889
32,3,2,701,FF,1.0,25,0.00125,0.052275,0.4844888888888889
32,3,2,701,FF,1.0,25,0.00125,0.2091,0.4844888888888889
32,3,2,701,FF,1.0,25,0.00125,0.8364,0.4844888888888889
32,3,2,701,FF,1.0,25,0.005,0.052275,0.4844888888888889
32,3,2,701,FF,1.0,25,0.005,0.2091,0.4844888888888889
32,3,2,701,FF,1.0,25,0.005,0.8364,0.4844888888888889
32,3,2,701,FF,1.0,25,0.04,0.052275,0.4844888888888889
32,3,2,701,FF,1.0,25,0.04,0.2091,0.4844888888888889
32,3,2,701,FF,1.0,25,0.04,0.8364,0.4844888888888889
32,3,2,701,SS,1.0,25,0.00125,0.052275,0.3652088888888889
32,3,2,701,SS,1.0,25,0.00125,0.2091,0.3652088888888889
32,3,2,701,SS,1.0,25,0.00125,0.8364,0.3652088888888889
32,3,2,701,SS,1.0,25,0.005,0.052275,0.3652088888888889
32,3,2,701,SS,1.0,25,0.005,0.2091,0.3652088888888889
32,3,2,701,SS,1.0,25,0.005,0.8364,0.3652088888888889
32,3,2,701,SS,1.0,25,0.04,0.052275,0.3652088888888889
32,3,2,701,SS,1.0,25,0.04,0.2091,0.3652088888888889
32,3,2,701,SS,1.0,25,0.04,0.8364,0.3652088888888889
32,3,2,701,TT,1.0,25,0.00125,0.052275,0.4253611111111111
32,3,2,701,TT,1.0,25,0.00125,0.2091,0.4253611111111111
32,3,2,701,TT,1.0,25,0.00125,0.8364,0.4253611111111111
32,3,2,701,TT,1.0,25,0.005,0.052275,0.4253611111111111
32,3,2,701,TT,1.0,25,0.005,0.2091,0.4253611111111111
32,3,2,701,TT,1.0,25,0.005,0.8364,0.4253611111111111
32,3,2,701,TT,1.0,25,0.04,0.052275,0.4253611111111111
32,3,2,701,TT,1.0,25,0.04,0.2091,0.4253611111111111
32,3,2,701,TT,1.0,25,0.04,0.8364,0.4253611111111111
16,1,1,512,FF,1.0,25,0.00125,0.052275,0.36431555555555556
16,1,1,512,FF,1.0,25,0.00125,0.2091,0.36431555555555556
16,1,1,512,FF,1.0,25,0.00125,0.8364,0.36431555555555556
16,1,1,512,FF,1.0,25,0.005,0.052275,0.36431555555555556
16,1,1,512,FF,1.0,25,0.005,0.2091,0.36431555555555556
16,1,1,512,FF,1.0,25,0.005,0.8364,0.36431555555555556
16,1,1,512,FF,1.0,25,0.04,0.052275,0.36431555555555556
16,1,1,512,FF,1.0,25,0.04,0.2091,0.36431555555555556
16,1,1,512,FF,1.0,25,0.04,0.8364,0.36431555555555556
16,1,1,512,SS,1.0,25,0.00125,0.052275,0.28226222222222225
16,1,1,512,SS,1.0,25,0.00125,0.2091,0.28226222222222225
16,1,1,512,SS,1.0,25,0.00125,0.8364,0.28226222222222225
16,1,1,512,SS,1.0,25,0.005,0.052275,0.28226222222222225
16,1,1,512,SS,1.0,25,0.005,0.2091,0.28226222222222225
16,1,1,512,SS,1.0,25,0.005,0.8364,0.28226222222222225
16,1,1,512,SS,1.0,25,0.04,0.052275,0.28226222222222225
16,1,1,512,SS,1.0,25,0.04,0.2091,0.28226222222222225
16,1,1,512,SS,1.0,25,0.04,0.8364,0.28226222222222225
16,1,1,512,TT,1.0,25,0.00125,0.052275,0.31788666666666665
16,1,1,512,TT,1.0,25,0.00125,0.2091,0.31788666666666665
16,1,1,512,TT,1.0,25,0.00125,0.8364,0.31788666666666665
16,1,1,512,TT,1.0,25,0.005,0.052275,0.31788666666666665
16,1,1,512,TT,1.0,25,0.005,0.2091,0.31788666666666665
16,1,1,512,TT,1.0,25,0.005,0.8364,0.31788666666666665
16,1,1,512,TT,1.0,25,0.04,0.052275,0.31788666666666665
16,1,1,512,TT,1.0,25,0.04,0.2091,0.31788666666666665
16,1,1,512,TT,1.0,25,0.04,0.8364,0.31788666666666665
1 num_words word_size words_per_row area process voltage temperature slew load read1_power
2 64 3 4 922 FF 1.0 25 0.00125 0.052275 0.5523799999999999
3 64 3 4 922 FF 1.0 25 0.00125 0.2091 0.5523799999999999
4 64 3 4 922 FF 1.0 25 0.00125 0.8364 0.5523799999999999
5 64 3 4 922 FF 1.0 25 0.005 0.052275 0.5523799999999999
6 64 3 4 922 FF 1.0 25 0.005 0.2091 0.5523799999999999
7 64 3 4 922 FF 1.0 25 0.005 0.8364 0.5523799999999999
8 64 3 4 922 FF 1.0 25 0.04 0.052275 0.5523799999999999
9 64 3 4 922 FF 1.0 25 0.04 0.2091 0.5523799999999999
10 64 3 4 922 FF 1.0 25 0.04 0.8364 0.5523799999999999
11 64 3 4 922 SS 1.0 25 0.00125 0.052275 0.4153288888888889
12 64 3 4 922 SS 1.0 25 0.00125 0.2091 0.4153288888888889
13 64 3 4 922 SS 1.0 25 0.00125 0.8364 0.4153288888888889
14 64 3 4 922 SS 1.0 25 0.005 0.052275 0.4153288888888889
15 64 3 4 922 SS 1.0 25 0.005 0.2091 0.4153288888888889
16 64 3 4 922 SS 1.0 25 0.005 0.8364 0.4153288888888889
17 64 3 4 922 SS 1.0 25 0.04 0.052275 0.4153288888888889
18 64 3 4 922 SS 1.0 25 0.04 0.2091 0.4153288888888889
19 64 3 4 922 SS 1.0 25 0.04 0.8364 0.4153288888888889
20 64 3 4 922 TT 1.0 25 0.00125 0.052275 0.48412777777777777
21 64 3 4 922 TT 1.0 25 0.00125 0.2091 0.48412777777777777
22 64 3 4 922 TT 1.0 25 0.00125 0.8364 0.48412777777777777
23 64 3 4 922 TT 1.0 25 0.005 0.052275 0.48412777777777777
24 64 3 4 922 TT 1.0 25 0.005 0.2091 0.48412777777777777
25 64 3 4 922 TT 1.0 25 0.005 0.8364 0.48412777777777777
26 64 3 4 922 TT 1.0 25 0.04 0.052275 0.48412777777777777
27 64 3 4 922 TT 1.0 25 0.04 0.2091 0.48412777777777777
28 64 3 4 922 TT 1.0 25 0.04 0.8364 0.48412777777777777
29 64 2 4 780 FF 1.0 25 0.00125 0.052275 0.49752777777777774
30 64 2 4 780 FF 1.0 25 0.00125 0.2091 0.49752777777777774
31 64 2 4 780 FF 1.0 25 0.00125 0.8364 0.49752777777777774
32 64 2 4 780 FF 1.0 25 0.005 0.052275 0.49752777777777774
33 64 2 4 780 FF 1.0 25 0.005 0.2091 0.49752777777777774
34 64 2 4 780 FF 1.0 25 0.005 0.8364 0.49752777777777774
35 64 2 4 780 FF 1.0 25 0.04 0.052275 0.49752777777777774
36 64 2 4 780 FF 1.0 25 0.04 0.2091 0.49752777777777774
37 64 2 4 780 FF 1.0 25 0.04 0.8364 0.49752777777777774
38 64 2 4 780 SS 1.0 25 0.00125 0.052275 0.37363111111111114
39 64 2 4 780 SS 1.0 25 0.00125 0.2091 0.37363111111111114
40 64 2 4 780 SS 1.0 25 0.00125 0.8364 0.37363111111111114
41 64 2 4 780 SS 1.0 25 0.005 0.052275 0.37363111111111114
42 64 2 4 780 SS 1.0 25 0.005 0.2091 0.37363111111111114
43 64 2 4 780 SS 1.0 25 0.005 0.8364 0.37363111111111114
44 64 2 4 780 SS 1.0 25 0.04 0.052275 0.37363111111111114
45 64 2 4 780 SS 1.0 25 0.04 0.2091 0.37363111111111114
46 64 2 4 780 SS 1.0 25 0.04 0.8364 0.37363111111111114
47 64 2 4 780 TT 1.0 25 0.00125 0.052275 0.43609
48 64 2 4 780 TT 1.0 25 0.00125 0.2091 0.43609
49 64 2 4 780 TT 1.0 25 0.00125 0.8364 0.43609
50 64 2 4 780 TT 1.0 25 0.005 0.052275 0.43609
51 64 2 4 780 TT 1.0 25 0.005 0.2091 0.43609
52 64 2 4 780 TT 1.0 25 0.005 0.8364 0.43609
53 64 2 4 780 TT 1.0 25 0.04 0.052275 0.43609
54 64 2 4 780 TT 1.0 25 0.04 0.2091 0.43609
55 64 2 4 780 TT 1.0 25 0.04 0.8364 0.43609
56 32 1 2 584 FF 1.0 25 0.00125 0.052275 0.41303
57 32 1 2 584 FF 1.0 25 0.00125 0.2091 0.41303
58 32 1 2 584 FF 1.0 25 0.00125 0.8364 0.41303
59 32 1 2 584 FF 1.0 25 0.005 0.052275 0.41303
60 32 1 2 584 FF 1.0 25 0.005 0.2091 0.41303
61 32 1 2 584 FF 1.0 25 0.005 0.8364 0.41303
62 32 1 2 584 FF 1.0 25 0.04 0.052275 0.41303
63 32 1 2 584 FF 1.0 25 0.04 0.2091 0.41303
64 32 1 2 584 FF 1.0 25 0.04 0.8364 0.41303
65 32 1 2 584 SS 1.0 25 0.00125 0.052275 0.30725222222222226
66 32 1 2 584 SS 1.0 25 0.00125 0.2091 0.30725222222222226
67 32 1 2 584 SS 1.0 25 0.00125 0.8364 0.30725222222222226
68 32 1 2 584 SS 1.0 25 0.005 0.052275 0.30725222222222226
69 32 1 2 584 SS 1.0 25 0.005 0.2091 0.30725222222222226
70 32 1 2 584 SS 1.0 25 0.005 0.8364 0.30725222222222226
71 32 1 2 584 SS 1.0 25 0.04 0.052275 0.30725222222222226
72 32 1 2 584 SS 1.0 25 0.04 0.2091 0.30725222222222226
73 32 1 2 584 SS 1.0 25 0.04 0.8364 0.30725222222222226
74 32 1 2 584 TT 1.0 25 0.00125 0.052275 0.3453111111111111
75 32 1 2 584 TT 1.0 25 0.00125 0.2091 0.3453111111111111
76 32 1 2 584 TT 1.0 25 0.00125 0.8364 0.3453111111111111
77 32 1 2 584 TT 1.0 25 0.005 0.052275 0.3453111111111111
78 32 1 2 584 TT 1.0 25 0.005 0.2091 0.3453111111111111
79 32 1 2 584 TT 1.0 25 0.005 0.8364 0.3453111111111111
80 32 1 2 584 TT 1.0 25 0.04 0.052275 0.3453111111111111
81 32 1 2 584 TT 1.0 25 0.04 0.2091 0.3453111111111111
82 32 1 2 584 TT 1.0 25 0.04 0.8364 0.3453111111111111
83 32 2 2 642 FF 1.0 25 0.00125 0.052275 0.43318
84 32 2 2 642 FF 1.0 25 0.00125 0.2091 0.43318
85 32 2 2 642 FF 1.0 25 0.00125 0.8364 0.43318
86 32 2 2 642 FF 1.0 25 0.005 0.052275 0.43318
87 32 2 2 642 FF 1.0 25 0.005 0.2091 0.43318
88 32 2 2 642 FF 1.0 25 0.005 0.8364 0.43318
89 32 2 2 642 FF 1.0 25 0.04 0.052275 0.43318
90 32 2 2 642 FF 1.0 25 0.04 0.2091 0.43318
91 32 2 2 642 FF 1.0 25 0.04 0.8364 0.43318
92 32 2 2 642 SS 1.0 25 0.00125 0.052275 0.33794555555555555
93 32 2 2 642 SS 1.0 25 0.00125 0.2091 0.33794555555555555
94 32 2 2 642 SS 1.0 25 0.00125 0.8364 0.33794555555555555
95 32 2 2 642 SS 1.0 25 0.005 0.052275 0.33794555555555555
96 32 2 2 642 SS 1.0 25 0.005 0.2091 0.33794555555555555
97 32 2 2 642 SS 1.0 25 0.005 0.8364 0.33794555555555555
98 32 2 2 642 SS 1.0 25 0.04 0.052275 0.33794555555555555
99 32 2 2 642 SS 1.0 25 0.04 0.2091 0.33794555555555555
100 32 2 2 642 SS 1.0 25 0.04 0.8364 0.33794555555555555
101 32 2 2 642 TT 1.0 25 0.00125 0.052275 0.37956999999999996
102 32 2 2 642 TT 1.0 25 0.00125 0.2091 0.37956999999999996
103 32 2 2 642 TT 1.0 25 0.00125 0.8364 0.37956999999999996
104 32 2 2 642 TT 1.0 25 0.005 0.052275 0.37956999999999996
105 32 2 2 642 TT 1.0 25 0.005 0.2091 0.37956999999999996
106 32 2 2 642 TT 1.0 25 0.005 0.8364 0.37956999999999996
107 32 2 2 642 TT 1.0 25 0.04 0.052275 0.37956999999999996
108 32 2 2 642 TT 1.0 25 0.04 0.2091 0.37956999999999996
109 32 2 2 642 TT 1.0 25 0.04 0.8364 0.37956999999999996
110 16 2 1 545 FF 1.0 25 0.00125 0.052275 0.3962455555555555
111 16 2 1 545 FF 1.0 25 0.00125 0.2091 0.3962455555555555
112 16 2 1 545 FF 1.0 25 0.00125 0.8364 0.3962455555555555
113 16 2 1 545 FF 1.0 25 0.005 0.052275 0.3962455555555555
114 16 2 1 545 FF 1.0 25 0.005 0.2091 0.3962455555555555
115 16 2 1 545 FF 1.0 25 0.005 0.8364 0.3962455555555555
116 16 2 1 545 FF 1.0 25 0.04 0.052275 0.3962455555555555
117 16 2 1 545 FF 1.0 25 0.04 0.2091 0.3962455555555555
118 16 2 1 545 FF 1.0 25 0.04 0.8364 0.3962455555555555
119 16 2 1 545 SS 1.0 25 0.00125 0.052275 0.3082555555555555
120 16 2 1 545 SS 1.0 25 0.00125 0.2091 0.3082555555555555
121 16 2 1 545 SS 1.0 25 0.00125 0.8364 0.3082555555555555
122 16 2 1 545 SS 1.0 25 0.005 0.052275 0.3082555555555555
123 16 2 1 545 SS 1.0 25 0.005 0.2091 0.3082555555555555
124 16 2 1 545 SS 1.0 25 0.005 0.8364 0.3082555555555555
125 16 2 1 545 SS 1.0 25 0.04 0.052275 0.3082555555555555
126 16 2 1 545 SS 1.0 25 0.04 0.2091 0.3082555555555555
127 16 2 1 545 SS 1.0 25 0.04 0.8364 0.3082555555555555
128 16 2 1 545 TT 1.0 25 0.00125 0.052275 0.3466588888888889
129 16 2 1 545 TT 1.0 25 0.00125 0.2091 0.3466588888888889
130 16 2 1 545 TT 1.0 25 0.00125 0.8364 0.3466588888888889
131 16 2 1 545 TT 1.0 25 0.005 0.052275 0.3466588888888889
132 16 2 1 545 TT 1.0 25 0.005 0.2091 0.3466588888888889
133 16 2 1 545 TT 1.0 25 0.005 0.8364 0.3466588888888889
134 16 2 1 545 TT 1.0 25 0.04 0.052275 0.3466588888888889
135 16 2 1 545 TT 1.0 25 0.04 0.2091 0.3466588888888889
136 16 2 1 545 TT 1.0 25 0.04 0.8364 0.3466588888888889
137 16 3 1 577 FF 1.0 25 0.00125 0.052275 0.4269344444444444
138 16 3 1 577 FF 1.0 25 0.00125 0.2091 0.4269344444444444
139 16 3 1 577 FF 1.0 25 0.00125 0.8364 0.4269344444444444
140 16 3 1 577 FF 1.0 25 0.005 0.052275 0.4269344444444444
141 16 3 1 577 FF 1.0 25 0.005 0.2091 0.4269344444444444
142 16 3 1 577 FF 1.0 25 0.005 0.8364 0.4269344444444444
143 16 3 1 577 FF 1.0 25 0.04 0.052275 0.4269344444444444
144 16 3 1 577 FF 1.0 25 0.04 0.2091 0.4269344444444444
145 16 3 1 577 FF 1.0 25 0.04 0.8364 0.4269344444444444
146 16 3 1 577 SS 1.0 25 0.00125 0.052275 0.32067333333333337
147 16 3 1 577 SS 1.0 25 0.00125 0.2091 0.32067333333333337
148 16 3 1 577 SS 1.0 25 0.00125 0.8364 0.32067333333333337
149 16 3 1 577 SS 1.0 25 0.005 0.052275 0.32067333333333337
150 16 3 1 577 SS 1.0 25 0.005 0.2091 0.32067333333333337
151 16 3 1 577 SS 1.0 25 0.005 0.8364 0.32067333333333337
152 16 3 1 577 SS 1.0 25 0.04 0.052275 0.32067333333333337
153 16 3 1 577 SS 1.0 25 0.04 0.2091 0.32067333333333337
154 16 3 1 577 SS 1.0 25 0.04 0.8364 0.32067333333333337
155 16 3 1 577 TT 1.0 25 0.00125 0.052275 0.3741288888888889
156 16 3 1 577 TT 1.0 25 0.00125 0.2091 0.3741288888888889
157 16 3 1 577 TT 1.0 25 0.00125 0.8364 0.3741288888888889
158 16 3 1 577 TT 1.0 25 0.005 0.052275 0.3741288888888889
159 16 3 1 577 TT 1.0 25 0.005 0.2091 0.3741288888888889
160 16 3 1 577 TT 1.0 25 0.005 0.8364 0.3741288888888889
161 16 3 1 577 TT 1.0 25 0.04 0.052275 0.3741288888888889
162 16 3 1 577 TT 1.0 25 0.04 0.2091 0.3741288888888889
163 16 3 1 577 TT 1.0 25 0.04 0.8364 0.3741288888888889
164 32 3 2 701 FF 1.0 25 0.00125 0.052275 0.4844888888888889
165 32 3 2 701 FF 1.0 25 0.00125 0.2091 0.4844888888888889
166 32 3 2 701 FF 1.0 25 0.00125 0.8364 0.4844888888888889
167 32 3 2 701 FF 1.0 25 0.005 0.052275 0.4844888888888889
168 32 3 2 701 FF 1.0 25 0.005 0.2091 0.4844888888888889
169 32 3 2 701 FF 1.0 25 0.005 0.8364 0.4844888888888889
170 32 3 2 701 FF 1.0 25 0.04 0.052275 0.4844888888888889
171 32 3 2 701 FF 1.0 25 0.04 0.2091 0.4844888888888889
172 32 3 2 701 FF 1.0 25 0.04 0.8364 0.4844888888888889
173 32 3 2 701 SS 1.0 25 0.00125 0.052275 0.3652088888888889
174 32 3 2 701 SS 1.0 25 0.00125 0.2091 0.3652088888888889
175 32 3 2 701 SS 1.0 25 0.00125 0.8364 0.3652088888888889
176 32 3 2 701 SS 1.0 25 0.005 0.052275 0.3652088888888889
177 32 3 2 701 SS 1.0 25 0.005 0.2091 0.3652088888888889
178 32 3 2 701 SS 1.0 25 0.005 0.8364 0.3652088888888889
179 32 3 2 701 SS 1.0 25 0.04 0.052275 0.3652088888888889
180 32 3 2 701 SS 1.0 25 0.04 0.2091 0.3652088888888889
181 32 3 2 701 SS 1.0 25 0.04 0.8364 0.3652088888888889
182 32 3 2 701 TT 1.0 25 0.00125 0.052275 0.4253611111111111
183 32 3 2 701 TT 1.0 25 0.00125 0.2091 0.4253611111111111
184 32 3 2 701 TT 1.0 25 0.00125 0.8364 0.4253611111111111
185 32 3 2 701 TT 1.0 25 0.005 0.052275 0.4253611111111111
186 32 3 2 701 TT 1.0 25 0.005 0.2091 0.4253611111111111
187 32 3 2 701 TT 1.0 25 0.005 0.8364 0.4253611111111111
188 32 3 2 701 TT 1.0 25 0.04 0.052275 0.4253611111111111
189 32 3 2 701 TT 1.0 25 0.04 0.2091 0.4253611111111111
190 32 3 2 701 TT 1.0 25 0.04 0.8364 0.4253611111111111
191 16 1 1 512 FF 1.0 25 0.00125 0.052275 0.36431555555555556
192 16 1 1 512 FF 1.0 25 0.00125 0.2091 0.36431555555555556
193 16 1 1 512 FF 1.0 25 0.00125 0.8364 0.36431555555555556
194 16 1 1 512 FF 1.0 25 0.005 0.052275 0.36431555555555556
195 16 1 1 512 FF 1.0 25 0.005 0.2091 0.36431555555555556
196 16 1 1 512 FF 1.0 25 0.005 0.8364 0.36431555555555556
197 16 1 1 512 FF 1.0 25 0.04 0.052275 0.36431555555555556
198 16 1 1 512 FF 1.0 25 0.04 0.2091 0.36431555555555556
199 16 1 1 512 FF 1.0 25 0.04 0.8364 0.36431555555555556
200 16 1 1 512 SS 1.0 25 0.00125 0.052275 0.28226222222222225
201 16 1 1 512 SS 1.0 25 0.00125 0.2091 0.28226222222222225
202 16 1 1 512 SS 1.0 25 0.00125 0.8364 0.28226222222222225
203 16 1 1 512 SS 1.0 25 0.005 0.052275 0.28226222222222225
204 16 1 1 512 SS 1.0 25 0.005 0.2091 0.28226222222222225
205 16 1 1 512 SS 1.0 25 0.005 0.8364 0.28226222222222225
206 16 1 1 512 SS 1.0 25 0.04 0.052275 0.28226222222222225
207 16 1 1 512 SS 1.0 25 0.04 0.2091 0.28226222222222225
208 16 1 1 512 SS 1.0 25 0.04 0.8364 0.28226222222222225
209 16 1 1 512 TT 1.0 25 0.00125 0.052275 0.31788666666666665
210 16 1 1 512 TT 1.0 25 0.00125 0.2091 0.31788666666666665
211 16 1 1 512 TT 1.0 25 0.00125 0.8364 0.31788666666666665
212 16 1 1 512 TT 1.0 25 0.005 0.052275 0.31788666666666665
213 16 1 1 512 TT 1.0 25 0.005 0.2091 0.31788666666666665
214 16 1 1 512 TT 1.0 25 0.005 0.8364 0.31788666666666665
215 16 1 1 512 TT 1.0 25 0.04 0.052275 0.31788666666666665
216 16 1 1 512 TT 1.0 25 0.04 0.2091 0.31788666666666665
217 16 1 1 512 TT 1.0 25 0.04 0.8364 0.31788666666666665

View File

@ -1,217 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,rise_delay
64,3,4,922,FF,1.0,25,0.00125,0.052275,0.25498
64,3,4,922,FF,1.0,25,0.00125,0.2091,0.25622
64,3,4,922,FF,1.0,25,0.00125,0.8364,0.26145999999999997
64,3,4,922,FF,1.0,25,0.005,0.052275,0.25553
64,3,4,922,FF,1.0,25,0.005,0.2091,0.25679
64,3,4,922,FF,1.0,25,0.005,0.8364,0.26204
64,3,4,922,FF,1.0,25,0.04,0.052275,0.26091
64,3,4,922,FF,1.0,25,0.04,0.2091,0.26221
64,3,4,922,FF,1.0,25,0.04,0.8364,0.26743
64,3,4,922,SS,1.0,25,0.00125,0.052275,0.31658000000000003
64,3,4,922,SS,1.0,25,0.00125,0.2091,0.31839
64,3,4,922,SS,1.0,25,0.00125,0.8364,0.32593
64,3,4,922,SS,1.0,25,0.005,0.052275,0.31714
64,3,4,922,SS,1.0,25,0.005,0.2091,0.31899
64,3,4,922,SS,1.0,25,0.005,0.8364,0.32621
64,3,4,922,SS,1.0,25,0.04,0.052275,0.32362
64,3,4,922,SS,1.0,25,0.04,0.2091,0.32575
64,3,4,922,SS,1.0,25,0.04,0.8364,0.33302
64,3,4,922,TT,1.0,25,0.00125,0.052275,0.28139
64,3,4,922,TT,1.0,25,0.00125,0.2091,0.2828
64,3,4,922,TT,1.0,25,0.00125,0.8364,0.28887999999999997
64,3,4,922,TT,1.0,25,0.005,0.052275,0.28178
64,3,4,922,TT,1.0,25,0.005,0.2091,0.28296000000000004
64,3,4,922,TT,1.0,25,0.005,0.8364,0.28944
64,3,4,922,TT,1.0,25,0.04,0.052275,0.28772000000000003
64,3,4,922,TT,1.0,25,0.04,0.2091,0.28927
64,3,4,922,TT,1.0,25,0.04,0.8364,0.29542
64,2,4,780,FF,1.0,25,0.00125,0.052275,0.25365
64,2,4,780,FF,1.0,25,0.00125,0.2091,0.25494
64,2,4,780,FF,1.0,25,0.00125,0.8364,0.26016
64,2,4,780,FF,1.0,25,0.005,0.052275,0.25412999999999997
64,2,4,780,FF,1.0,25,0.005,0.2091,0.25533
64,2,4,780,FF,1.0,25,0.005,0.8364,0.26065000000000005
64,2,4,780,FF,1.0,25,0.04,0.052275,0.25889
64,2,4,780,FF,1.0,25,0.04,0.2091,0.26022
64,2,4,780,FF,1.0,25,0.04,0.8364,0.26556
64,2,4,780,SS,1.0,25,0.00125,0.052275,0.31452
64,2,4,780,SS,1.0,25,0.00125,0.2091,0.3165
64,2,4,780,SS,1.0,25,0.00125,0.8364,0.32376
64,2,4,780,SS,1.0,25,0.005,0.052275,0.31516
64,2,4,780,SS,1.0,25,0.005,0.2091,0.31709
64,2,4,780,SS,1.0,25,0.005,0.8364,0.32435
64,2,4,780,SS,1.0,25,0.04,0.052275,0.32149999999999995
64,2,4,780,SS,1.0,25,0.04,0.2091,0.32315
64,2,4,780,SS,1.0,25,0.04,0.8364,0.33074
64,2,4,780,TT,1.0,25,0.00125,0.052275,0.27948999999999996
64,2,4,780,TT,1.0,25,0.00125,0.2091,0.28136999999999995
64,2,4,780,TT,1.0,25,0.00125,0.8364,0.28725
64,2,4,780,TT,1.0,25,0.005,0.052275,0.28032
64,2,4,780,TT,1.0,25,0.005,0.2091,0.28179000000000004
64,2,4,780,TT,1.0,25,0.005,0.8364,0.28813
64,2,4,780,TT,1.0,25,0.04,0.052275,0.28549
64,2,4,780,TT,1.0,25,0.04,0.2091,0.28752
64,2,4,780,TT,1.0,25,0.04,0.8364,0.29366
32,1,2,584,FF,1.0,25,0.00125,0.052275,0.23641
32,1,2,584,FF,1.0,25,0.00125,0.2091,0.23782999999999999
32,1,2,584,FF,1.0,25,0.00125,0.8364,0.24323999999999998
32,1,2,584,FF,1.0,25,0.005,0.052275,0.23717000000000002
32,1,2,584,FF,1.0,25,0.005,0.2091,0.23853
32,1,2,584,FF,1.0,25,0.005,0.8364,0.2437
32,1,2,584,FF,1.0,25,0.04,0.052275,0.24194
32,1,2,584,FF,1.0,25,0.04,0.2091,0.2432
32,1,2,584,FF,1.0,25,0.04,0.8364,0.2486
32,1,2,584,SS,1.0,25,0.00125,0.052275,0.29381
32,1,2,584,SS,1.0,25,0.00125,0.2091,0.29564
32,1,2,584,SS,1.0,25,0.00125,0.8364,0.30294
32,1,2,584,SS,1.0,25,0.005,0.052275,0.2943
32,1,2,584,SS,1.0,25,0.005,0.2091,0.29651999999999995
32,1,2,584,SS,1.0,25,0.005,0.8364,0.30362
32,1,2,584,SS,1.0,25,0.04,0.052275,0.30057
32,1,2,584,SS,1.0,25,0.04,0.2091,0.30256
32,1,2,584,SS,1.0,25,0.04,0.8364,0.30998
32,1,2,584,TT,1.0,25,0.00125,0.052275,0.26071
32,1,2,584,TT,1.0,25,0.00125,0.2091,0.26230000000000003
32,1,2,584,TT,1.0,25,0.00125,0.8364,0.26844999999999997
32,1,2,584,TT,1.0,25,0.005,0.052275,0.26130000000000003
32,1,2,584,TT,1.0,25,0.005,0.2091,0.26276
32,1,2,584,TT,1.0,25,0.005,0.8364,0.26908000000000004
32,1,2,584,TT,1.0,25,0.04,0.052275,0.26691000000000004
32,1,2,584,TT,1.0,25,0.04,0.2091,0.26833
32,1,2,584,TT,1.0,25,0.04,0.8364,0.27488
32,2,2,642,FF,1.0,25,0.00125,0.052275,0.23962999999999998
32,2,2,642,FF,1.0,25,0.00125,0.2091,0.24112
32,2,2,642,FF,1.0,25,0.00125,0.8364,0.24631
32,2,2,642,FF,1.0,25,0.005,0.052275,0.24009999999999998
32,2,2,642,FF,1.0,25,0.005,0.2091,0.24160000000000004
32,2,2,642,FF,1.0,25,0.005,0.8364,0.24684
32,2,2,642,FF,1.0,25,0.04,0.052275,0.24514999999999998
32,2,2,642,FF,1.0,25,0.04,0.2091,0.24680000000000002
32,2,2,642,FF,1.0,25,0.04,0.8364,0.2518
32,2,2,642,SS,1.0,25,0.00125,0.052275,0.298
32,2,2,642,SS,1.0,25,0.00125,0.2091,0.29993000000000003
32,2,2,642,SS,1.0,25,0.00125,0.8364,0.30740999999999996
32,2,2,642,SS,1.0,25,0.005,0.052275,0.29886
32,2,2,642,SS,1.0,25,0.005,0.2091,0.30074
32,2,2,642,SS,1.0,25,0.005,0.8364,0.30826
32,2,2,642,SS,1.0,25,0.04,0.052275,0.30518
32,2,2,642,SS,1.0,25,0.04,0.2091,0.30701
32,2,2,642,SS,1.0,25,0.04,0.8364,0.3144
32,2,2,642,TT,1.0,25,0.00125,0.052275,0.26469
32,2,2,642,TT,1.0,25,0.00125,0.2091,0.26608
32,2,2,642,TT,1.0,25,0.00125,0.8364,0.27228
32,2,2,642,TT,1.0,25,0.005,0.052275,0.26508
32,2,2,642,TT,1.0,25,0.005,0.2091,0.26661
32,2,2,642,TT,1.0,25,0.005,0.8364,0.27302
32,2,2,642,TT,1.0,25,0.04,0.052275,0.27074
32,2,2,642,TT,1.0,25,0.04,0.2091,0.27229
32,2,2,642,TT,1.0,25,0.04,0.8364,0.27856000000000003
16,2,1,545,FF,1.0,25,0.00125,0.052275,0.20774
16,2,1,545,FF,1.0,25,0.00125,0.2091,0.20883
16,2,1,545,FF,1.0,25,0.00125,0.8364,0.21308
16,2,1,545,FF,1.0,25,0.005,0.052275,0.20826
16,2,1,545,FF,1.0,25,0.005,0.2091,0.20935
16,2,1,545,FF,1.0,25,0.005,0.8364,0.21361
16,2,1,545,FF,1.0,25,0.04,0.052275,0.21305000000000002
16,2,1,545,FF,1.0,25,0.04,0.2091,0.21434999999999998
16,2,1,545,FF,1.0,25,0.04,0.8364,0.21861999999999998
16,2,1,545,SS,1.0,25,0.00125,0.052275,0.25171
16,2,1,545,SS,1.0,25,0.00125,0.2091,0.25345
16,2,1,545,SS,1.0,25,0.00125,0.8364,0.25919000000000003
16,2,1,545,SS,1.0,25,0.005,0.052275,0.25259
16,2,1,545,SS,1.0,25,0.005,0.2091,0.25406
16,2,1,545,SS,1.0,25,0.005,0.8364,0.26003
16,2,1,545,SS,1.0,25,0.04,0.052275,0.2589
16,2,1,545,SS,1.0,25,0.04,0.2091,0.26036000000000004
16,2,1,545,SS,1.0,25,0.04,0.8364,0.26641000000000004
16,2,1,545,TT,1.0,25,0.00125,0.052275,0.22749999999999998
16,2,1,545,TT,1.0,25,0.00125,0.2091,0.22874
16,2,1,545,TT,1.0,25,0.00125,0.8364,0.23365000000000002
16,2,1,545,TT,1.0,25,0.005,0.052275,0.22791
16,2,1,545,TT,1.0,25,0.005,0.2091,0.22928
16,2,1,545,TT,1.0,25,0.005,0.8364,0.23424
16,2,1,545,TT,1.0,25,0.04,0.052275,0.23372999999999997
16,2,1,545,TT,1.0,25,0.04,0.2091,0.23488000000000003
16,2,1,545,TT,1.0,25,0.04,0.8364,0.23993000000000003
16,3,1,577,FF,1.0,25,0.00125,0.052275,0.2099
16,3,1,577,FF,1.0,25,0.00125,0.2091,0.21104
16,3,1,577,FF,1.0,25,0.00125,0.8364,0.21528
16,3,1,577,FF,1.0,25,0.005,0.052275,0.21069
16,3,1,577,FF,1.0,25,0.005,0.2091,0.21178
16,3,1,577,FF,1.0,25,0.005,0.8364,0.21605
16,3,1,577,FF,1.0,25,0.04,0.052275,0.21550999999999998
16,3,1,577,FF,1.0,25,0.04,0.2091,0.21662
16,3,1,577,FF,1.0,25,0.04,0.8364,0.22065
16,3,1,577,SS,1.0,25,0.00125,0.052275,0.25471
16,3,1,577,SS,1.0,25,0.00125,0.2091,0.25597
16,3,1,577,SS,1.0,25,0.00125,0.8364,0.2622
16,3,1,577,SS,1.0,25,0.005,0.052275,0.25558000000000003
16,3,1,577,SS,1.0,25,0.005,0.2091,0.25673
16,3,1,577,SS,1.0,25,0.005,0.8364,0.26284
16,3,1,577,SS,1.0,25,0.04,0.052275,0.26176
16,3,1,577,SS,1.0,25,0.04,0.2091,0.26276
16,3,1,577,SS,1.0,25,0.04,0.8364,0.26884
16,3,1,577,TT,1.0,25,0.00125,0.052275,0.2299
16,3,1,577,TT,1.0,25,0.00125,0.2091,0.2311
16,3,1,577,TT,1.0,25,0.00125,0.8364,0.23639
16,3,1,577,TT,1.0,25,0.005,0.052275,0.23051
16,3,1,577,TT,1.0,25,0.005,0.2091,0.23177999999999999
16,3,1,577,TT,1.0,25,0.005,0.8364,0.23668
16,3,1,577,TT,1.0,25,0.04,0.052275,0.23592
16,3,1,577,TT,1.0,25,0.04,0.2091,0.23736999999999997
16,3,1,577,TT,1.0,25,0.04,0.8364,0.24238999999999997
32,3,2,701,FF,1.0,25,0.00125,0.052275,0.24361999999999998
32,3,2,701,FF,1.0,25,0.00125,0.2091,0.24481
32,3,2,701,FF,1.0,25,0.00125,0.8364,0.25027
32,3,2,701,FF,1.0,25,0.005,0.052275,0.24414
32,3,2,701,FF,1.0,25,0.005,0.2091,0.24541
32,3,2,701,FF,1.0,25,0.005,0.8364,0.25079
32,3,2,701,FF,1.0,25,0.04,0.052275,0.24897000000000002
32,3,2,701,FF,1.0,25,0.04,0.2091,0.25027
32,3,2,701,FF,1.0,25,0.04,0.8364,0.25566
32,3,2,701,SS,1.0,25,0.00125,0.052275,0.30235
32,3,2,701,SS,1.0,25,0.00125,0.2091,0.30436
32,3,2,701,SS,1.0,25,0.00125,0.8364,0.31167
32,3,2,701,SS,1.0,25,0.005,0.052275,0.30313
32,3,2,701,SS,1.0,25,0.005,0.2091,0.30508
32,3,2,701,SS,1.0,25,0.005,0.8364,0.31239
32,3,2,701,SS,1.0,25,0.04,0.052275,0.30959000000000003
32,3,2,701,SS,1.0,25,0.04,0.2091,0.31098
32,3,2,701,SS,1.0,25,0.04,0.8364,0.31853
32,3,2,701,TT,1.0,25,0.00125,0.052275,0.26874
32,3,2,701,TT,1.0,25,0.00125,0.2091,0.27017
32,3,2,701,TT,1.0,25,0.00125,0.8364,0.27657
32,3,2,701,TT,1.0,25,0.005,0.052275,0.26937
32,3,2,701,TT,1.0,25,0.005,0.2091,0.27088
32,3,2,701,TT,1.0,25,0.005,0.8364,0.27708
32,3,2,701,TT,1.0,25,0.04,0.052275,0.2749
32,3,2,701,TT,1.0,25,0.04,0.2091,0.27648
32,3,2,701,TT,1.0,25,0.04,0.8364,0.28285
16,1,1,512,FF,1.0,25,0.00125,0.052275,0.21178
16,1,1,512,FF,1.0,25,0.00125,0.2091,0.21289
16,1,1,512,FF,1.0,25,0.00125,0.8364,0.21739999999999998
16,1,1,512,FF,1.0,25,0.005,0.052275,0.21234
16,1,1,512,FF,1.0,25,0.005,0.2091,0.21344
16,1,1,512,FF,1.0,25,0.005,0.8364,0.21807
16,1,1,512,FF,1.0,25,0.04,0.052275,0.21609
16,1,1,512,FF,1.0,25,0.04,0.2091,0.21733
16,1,1,512,FF,1.0,25,0.04,0.8364,0.22167
16,1,1,512,SS,1.0,25,0.00125,0.052275,0.25711999999999996
16,1,1,512,SS,1.0,25,0.00125,0.2091,0.25864
16,1,1,512,SS,1.0,25,0.00125,0.8364,0.26446
16,1,1,512,SS,1.0,25,0.005,0.052275,0.25783
16,1,1,512,SS,1.0,25,0.005,0.2091,0.25905999999999996
16,1,1,512,SS,1.0,25,0.005,0.8364,0.26514
16,1,1,512,SS,1.0,25,0.04,0.052275,0.26306
16,1,1,512,SS,1.0,25,0.04,0.2091,0.26462
16,1,1,512,SS,1.0,25,0.04,0.8364,0.27044999999999997
16,1,1,512,TT,1.0,25,0.00125,0.052275,0.23172
16,1,1,512,TT,1.0,25,0.00125,0.2091,0.23336
16,1,1,512,TT,1.0,25,0.00125,0.8364,0.23824
16,1,1,512,TT,1.0,25,0.005,0.052275,0.23241
16,1,1,512,TT,1.0,25,0.005,0.2091,0.23397
16,1,1,512,TT,1.0,25,0.005,0.8364,0.23889
16,1,1,512,TT,1.0,25,0.04,0.052275,0.23715
16,1,1,512,TT,1.0,25,0.04,0.2091,0.2385
16,1,1,512,TT,1.0,25,0.04,0.8364,0.24325000000000002
1 num_words word_size words_per_row area process voltage temperature slew load rise_delay
2 64 3 4 922 FF 1.0 25 0.00125 0.052275 0.25498
3 64 3 4 922 FF 1.0 25 0.00125 0.2091 0.25622
4 64 3 4 922 FF 1.0 25 0.00125 0.8364 0.26145999999999997
5 64 3 4 922 FF 1.0 25 0.005 0.052275 0.25553
6 64 3 4 922 FF 1.0 25 0.005 0.2091 0.25679
7 64 3 4 922 FF 1.0 25 0.005 0.8364 0.26204
8 64 3 4 922 FF 1.0 25 0.04 0.052275 0.26091
9 64 3 4 922 FF 1.0 25 0.04 0.2091 0.26221
10 64 3 4 922 FF 1.0 25 0.04 0.8364 0.26743
11 64 3 4 922 SS 1.0 25 0.00125 0.052275 0.31658000000000003
12 64 3 4 922 SS 1.0 25 0.00125 0.2091 0.31839
13 64 3 4 922 SS 1.0 25 0.00125 0.8364 0.32593
14 64 3 4 922 SS 1.0 25 0.005 0.052275 0.31714
15 64 3 4 922 SS 1.0 25 0.005 0.2091 0.31899
16 64 3 4 922 SS 1.0 25 0.005 0.8364 0.32621
17 64 3 4 922 SS 1.0 25 0.04 0.052275 0.32362
18 64 3 4 922 SS 1.0 25 0.04 0.2091 0.32575
19 64 3 4 922 SS 1.0 25 0.04 0.8364 0.33302
20 64 3 4 922 TT 1.0 25 0.00125 0.052275 0.28139
21 64 3 4 922 TT 1.0 25 0.00125 0.2091 0.2828
22 64 3 4 922 TT 1.0 25 0.00125 0.8364 0.28887999999999997
23 64 3 4 922 TT 1.0 25 0.005 0.052275 0.28178
24 64 3 4 922 TT 1.0 25 0.005 0.2091 0.28296000000000004
25 64 3 4 922 TT 1.0 25 0.005 0.8364 0.28944
26 64 3 4 922 TT 1.0 25 0.04 0.052275 0.28772000000000003
27 64 3 4 922 TT 1.0 25 0.04 0.2091 0.28927
28 64 3 4 922 TT 1.0 25 0.04 0.8364 0.29542
29 64 2 4 780 FF 1.0 25 0.00125 0.052275 0.25365
30 64 2 4 780 FF 1.0 25 0.00125 0.2091 0.25494
31 64 2 4 780 FF 1.0 25 0.00125 0.8364 0.26016
32 64 2 4 780 FF 1.0 25 0.005 0.052275 0.25412999999999997
33 64 2 4 780 FF 1.0 25 0.005 0.2091 0.25533
34 64 2 4 780 FF 1.0 25 0.005 0.8364 0.26065000000000005
35 64 2 4 780 FF 1.0 25 0.04 0.052275 0.25889
36 64 2 4 780 FF 1.0 25 0.04 0.2091 0.26022
37 64 2 4 780 FF 1.0 25 0.04 0.8364 0.26556
38 64 2 4 780 SS 1.0 25 0.00125 0.052275 0.31452
39 64 2 4 780 SS 1.0 25 0.00125 0.2091 0.3165
40 64 2 4 780 SS 1.0 25 0.00125 0.8364 0.32376
41 64 2 4 780 SS 1.0 25 0.005 0.052275 0.31516
42 64 2 4 780 SS 1.0 25 0.005 0.2091 0.31709
43 64 2 4 780 SS 1.0 25 0.005 0.8364 0.32435
44 64 2 4 780 SS 1.0 25 0.04 0.052275 0.32149999999999995
45 64 2 4 780 SS 1.0 25 0.04 0.2091 0.32315
46 64 2 4 780 SS 1.0 25 0.04 0.8364 0.33074
47 64 2 4 780 TT 1.0 25 0.00125 0.052275 0.27948999999999996
48 64 2 4 780 TT 1.0 25 0.00125 0.2091 0.28136999999999995
49 64 2 4 780 TT 1.0 25 0.00125 0.8364 0.28725
50 64 2 4 780 TT 1.0 25 0.005 0.052275 0.28032
51 64 2 4 780 TT 1.0 25 0.005 0.2091 0.28179000000000004
52 64 2 4 780 TT 1.0 25 0.005 0.8364 0.28813
53 64 2 4 780 TT 1.0 25 0.04 0.052275 0.28549
54 64 2 4 780 TT 1.0 25 0.04 0.2091 0.28752
55 64 2 4 780 TT 1.0 25 0.04 0.8364 0.29366
56 32 1 2 584 FF 1.0 25 0.00125 0.052275 0.23641
57 32 1 2 584 FF 1.0 25 0.00125 0.2091 0.23782999999999999
58 32 1 2 584 FF 1.0 25 0.00125 0.8364 0.24323999999999998
59 32 1 2 584 FF 1.0 25 0.005 0.052275 0.23717000000000002
60 32 1 2 584 FF 1.0 25 0.005 0.2091 0.23853
61 32 1 2 584 FF 1.0 25 0.005 0.8364 0.2437
62 32 1 2 584 FF 1.0 25 0.04 0.052275 0.24194
63 32 1 2 584 FF 1.0 25 0.04 0.2091 0.2432
64 32 1 2 584 FF 1.0 25 0.04 0.8364 0.2486
65 32 1 2 584 SS 1.0 25 0.00125 0.052275 0.29381
66 32 1 2 584 SS 1.0 25 0.00125 0.2091 0.29564
67 32 1 2 584 SS 1.0 25 0.00125 0.8364 0.30294
68 32 1 2 584 SS 1.0 25 0.005 0.052275 0.2943
69 32 1 2 584 SS 1.0 25 0.005 0.2091 0.29651999999999995
70 32 1 2 584 SS 1.0 25 0.005 0.8364 0.30362
71 32 1 2 584 SS 1.0 25 0.04 0.052275 0.30057
72 32 1 2 584 SS 1.0 25 0.04 0.2091 0.30256
73 32 1 2 584 SS 1.0 25 0.04 0.8364 0.30998
74 32 1 2 584 TT 1.0 25 0.00125 0.052275 0.26071
75 32 1 2 584 TT 1.0 25 0.00125 0.2091 0.26230000000000003
76 32 1 2 584 TT 1.0 25 0.00125 0.8364 0.26844999999999997
77 32 1 2 584 TT 1.0 25 0.005 0.052275 0.26130000000000003
78 32 1 2 584 TT 1.0 25 0.005 0.2091 0.26276
79 32 1 2 584 TT 1.0 25 0.005 0.8364 0.26908000000000004
80 32 1 2 584 TT 1.0 25 0.04 0.052275 0.26691000000000004
81 32 1 2 584 TT 1.0 25 0.04 0.2091 0.26833
82 32 1 2 584 TT 1.0 25 0.04 0.8364 0.27488
83 32 2 2 642 FF 1.0 25 0.00125 0.052275 0.23962999999999998
84 32 2 2 642 FF 1.0 25 0.00125 0.2091 0.24112
85 32 2 2 642 FF 1.0 25 0.00125 0.8364 0.24631
86 32 2 2 642 FF 1.0 25 0.005 0.052275 0.24009999999999998
87 32 2 2 642 FF 1.0 25 0.005 0.2091 0.24160000000000004
88 32 2 2 642 FF 1.0 25 0.005 0.8364 0.24684
89 32 2 2 642 FF 1.0 25 0.04 0.052275 0.24514999999999998
90 32 2 2 642 FF 1.0 25 0.04 0.2091 0.24680000000000002
91 32 2 2 642 FF 1.0 25 0.04 0.8364 0.2518
92 32 2 2 642 SS 1.0 25 0.00125 0.052275 0.298
93 32 2 2 642 SS 1.0 25 0.00125 0.2091 0.29993000000000003
94 32 2 2 642 SS 1.0 25 0.00125 0.8364 0.30740999999999996
95 32 2 2 642 SS 1.0 25 0.005 0.052275 0.29886
96 32 2 2 642 SS 1.0 25 0.005 0.2091 0.30074
97 32 2 2 642 SS 1.0 25 0.005 0.8364 0.30826
98 32 2 2 642 SS 1.0 25 0.04 0.052275 0.30518
99 32 2 2 642 SS 1.0 25 0.04 0.2091 0.30701
100 32 2 2 642 SS 1.0 25 0.04 0.8364 0.3144
101 32 2 2 642 TT 1.0 25 0.00125 0.052275 0.26469
102 32 2 2 642 TT 1.0 25 0.00125 0.2091 0.26608
103 32 2 2 642 TT 1.0 25 0.00125 0.8364 0.27228
104 32 2 2 642 TT 1.0 25 0.005 0.052275 0.26508
105 32 2 2 642 TT 1.0 25 0.005 0.2091 0.26661
106 32 2 2 642 TT 1.0 25 0.005 0.8364 0.27302
107 32 2 2 642 TT 1.0 25 0.04 0.052275 0.27074
108 32 2 2 642 TT 1.0 25 0.04 0.2091 0.27229
109 32 2 2 642 TT 1.0 25 0.04 0.8364 0.27856000000000003
110 16 2 1 545 FF 1.0 25 0.00125 0.052275 0.20774
111 16 2 1 545 FF 1.0 25 0.00125 0.2091 0.20883
112 16 2 1 545 FF 1.0 25 0.00125 0.8364 0.21308
113 16 2 1 545 FF 1.0 25 0.005 0.052275 0.20826
114 16 2 1 545 FF 1.0 25 0.005 0.2091 0.20935
115 16 2 1 545 FF 1.0 25 0.005 0.8364 0.21361
116 16 2 1 545 FF 1.0 25 0.04 0.052275 0.21305000000000002
117 16 2 1 545 FF 1.0 25 0.04 0.2091 0.21434999999999998
118 16 2 1 545 FF 1.0 25 0.04 0.8364 0.21861999999999998
119 16 2 1 545 SS 1.0 25 0.00125 0.052275 0.25171
120 16 2 1 545 SS 1.0 25 0.00125 0.2091 0.25345
121 16 2 1 545 SS 1.0 25 0.00125 0.8364 0.25919000000000003
122 16 2 1 545 SS 1.0 25 0.005 0.052275 0.25259
123 16 2 1 545 SS 1.0 25 0.005 0.2091 0.25406
124 16 2 1 545 SS 1.0 25 0.005 0.8364 0.26003
125 16 2 1 545 SS 1.0 25 0.04 0.052275 0.2589
126 16 2 1 545 SS 1.0 25 0.04 0.2091 0.26036000000000004
127 16 2 1 545 SS 1.0 25 0.04 0.8364 0.26641000000000004
128 16 2 1 545 TT 1.0 25 0.00125 0.052275 0.22749999999999998
129 16 2 1 545 TT 1.0 25 0.00125 0.2091 0.22874
130 16 2 1 545 TT 1.0 25 0.00125 0.8364 0.23365000000000002
131 16 2 1 545 TT 1.0 25 0.005 0.052275 0.22791
132 16 2 1 545 TT 1.0 25 0.005 0.2091 0.22928
133 16 2 1 545 TT 1.0 25 0.005 0.8364 0.23424
134 16 2 1 545 TT 1.0 25 0.04 0.052275 0.23372999999999997
135 16 2 1 545 TT 1.0 25 0.04 0.2091 0.23488000000000003
136 16 2 1 545 TT 1.0 25 0.04 0.8364 0.23993000000000003
137 16 3 1 577 FF 1.0 25 0.00125 0.052275 0.2099
138 16 3 1 577 FF 1.0 25 0.00125 0.2091 0.21104
139 16 3 1 577 FF 1.0 25 0.00125 0.8364 0.21528
140 16 3 1 577 FF 1.0 25 0.005 0.052275 0.21069
141 16 3 1 577 FF 1.0 25 0.005 0.2091 0.21178
142 16 3 1 577 FF 1.0 25 0.005 0.8364 0.21605
143 16 3 1 577 FF 1.0 25 0.04 0.052275 0.21550999999999998
144 16 3 1 577 FF 1.0 25 0.04 0.2091 0.21662
145 16 3 1 577 FF 1.0 25 0.04 0.8364 0.22065
146 16 3 1 577 SS 1.0 25 0.00125 0.052275 0.25471
147 16 3 1 577 SS 1.0 25 0.00125 0.2091 0.25597
148 16 3 1 577 SS 1.0 25 0.00125 0.8364 0.2622
149 16 3 1 577 SS 1.0 25 0.005 0.052275 0.25558000000000003
150 16 3 1 577 SS 1.0 25 0.005 0.2091 0.25673
151 16 3 1 577 SS 1.0 25 0.005 0.8364 0.26284
152 16 3 1 577 SS 1.0 25 0.04 0.052275 0.26176
153 16 3 1 577 SS 1.0 25 0.04 0.2091 0.26276
154 16 3 1 577 SS 1.0 25 0.04 0.8364 0.26884
155 16 3 1 577 TT 1.0 25 0.00125 0.052275 0.2299
156 16 3 1 577 TT 1.0 25 0.00125 0.2091 0.2311
157 16 3 1 577 TT 1.0 25 0.00125 0.8364 0.23639
158 16 3 1 577 TT 1.0 25 0.005 0.052275 0.23051
159 16 3 1 577 TT 1.0 25 0.005 0.2091 0.23177999999999999
160 16 3 1 577 TT 1.0 25 0.005 0.8364 0.23668
161 16 3 1 577 TT 1.0 25 0.04 0.052275 0.23592
162 16 3 1 577 TT 1.0 25 0.04 0.2091 0.23736999999999997
163 16 3 1 577 TT 1.0 25 0.04 0.8364 0.24238999999999997
164 32 3 2 701 FF 1.0 25 0.00125 0.052275 0.24361999999999998
165 32 3 2 701 FF 1.0 25 0.00125 0.2091 0.24481
166 32 3 2 701 FF 1.0 25 0.00125 0.8364 0.25027
167 32 3 2 701 FF 1.0 25 0.005 0.052275 0.24414
168 32 3 2 701 FF 1.0 25 0.005 0.2091 0.24541
169 32 3 2 701 FF 1.0 25 0.005 0.8364 0.25079
170 32 3 2 701 FF 1.0 25 0.04 0.052275 0.24897000000000002
171 32 3 2 701 FF 1.0 25 0.04 0.2091 0.25027
172 32 3 2 701 FF 1.0 25 0.04 0.8364 0.25566
173 32 3 2 701 SS 1.0 25 0.00125 0.052275 0.30235
174 32 3 2 701 SS 1.0 25 0.00125 0.2091 0.30436
175 32 3 2 701 SS 1.0 25 0.00125 0.8364 0.31167
176 32 3 2 701 SS 1.0 25 0.005 0.052275 0.30313
177 32 3 2 701 SS 1.0 25 0.005 0.2091 0.30508
178 32 3 2 701 SS 1.0 25 0.005 0.8364 0.31239
179 32 3 2 701 SS 1.0 25 0.04 0.052275 0.30959000000000003
180 32 3 2 701 SS 1.0 25 0.04 0.2091 0.31098
181 32 3 2 701 SS 1.0 25 0.04 0.8364 0.31853
182 32 3 2 701 TT 1.0 25 0.00125 0.052275 0.26874
183 32 3 2 701 TT 1.0 25 0.00125 0.2091 0.27017
184 32 3 2 701 TT 1.0 25 0.00125 0.8364 0.27657
185 32 3 2 701 TT 1.0 25 0.005 0.052275 0.26937
186 32 3 2 701 TT 1.0 25 0.005 0.2091 0.27088
187 32 3 2 701 TT 1.0 25 0.005 0.8364 0.27708
188 32 3 2 701 TT 1.0 25 0.04 0.052275 0.2749
189 32 3 2 701 TT 1.0 25 0.04 0.2091 0.27648
190 32 3 2 701 TT 1.0 25 0.04 0.8364 0.28285
191 16 1 1 512 FF 1.0 25 0.00125 0.052275 0.21178
192 16 1 1 512 FF 1.0 25 0.00125 0.2091 0.21289
193 16 1 1 512 FF 1.0 25 0.00125 0.8364 0.21739999999999998
194 16 1 1 512 FF 1.0 25 0.005 0.052275 0.21234
195 16 1 1 512 FF 1.0 25 0.005 0.2091 0.21344
196 16 1 1 512 FF 1.0 25 0.005 0.8364 0.21807
197 16 1 1 512 FF 1.0 25 0.04 0.052275 0.21609
198 16 1 1 512 FF 1.0 25 0.04 0.2091 0.21733
199 16 1 1 512 FF 1.0 25 0.04 0.8364 0.22167
200 16 1 1 512 SS 1.0 25 0.00125 0.052275 0.25711999999999996
201 16 1 1 512 SS 1.0 25 0.00125 0.2091 0.25864
202 16 1 1 512 SS 1.0 25 0.00125 0.8364 0.26446
203 16 1 1 512 SS 1.0 25 0.005 0.052275 0.25783
204 16 1 1 512 SS 1.0 25 0.005 0.2091 0.25905999999999996
205 16 1 1 512 SS 1.0 25 0.005 0.8364 0.26514
206 16 1 1 512 SS 1.0 25 0.04 0.052275 0.26306
207 16 1 1 512 SS 1.0 25 0.04 0.2091 0.26462
208 16 1 1 512 SS 1.0 25 0.04 0.8364 0.27044999999999997
209 16 1 1 512 TT 1.0 25 0.00125 0.052275 0.23172
210 16 1 1 512 TT 1.0 25 0.00125 0.2091 0.23336
211 16 1 1 512 TT 1.0 25 0.00125 0.8364 0.23824
212 16 1 1 512 TT 1.0 25 0.005 0.052275 0.23241
213 16 1 1 512 TT 1.0 25 0.005 0.2091 0.23397
214 16 1 1 512 TT 1.0 25 0.005 0.8364 0.23889
215 16 1 1 512 TT 1.0 25 0.04 0.052275 0.23715
216 16 1 1 512 TT 1.0 25 0.04 0.2091 0.2385
217 16 1 1 512 TT 1.0 25 0.04 0.8364 0.24325000000000002

View File

@ -1,217 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,rise_slew
64,3,4,922,FF,1.0,25,0.00125,0.052275,0.22674999999999998
64,3,4,922,FF,1.0,25,0.00125,0.2091,0.22697
64,3,4,922,FF,1.0,25,0.00125,0.8364,0.22827
64,3,4,922,FF,1.0,25,0.005,0.052275,0.22672
64,3,4,922,FF,1.0,25,0.005,0.2091,0.22709
64,3,4,922,FF,1.0,25,0.005,0.8364,0.22804
64,3,4,922,FF,1.0,25,0.04,0.052275,0.22672
64,3,4,922,FF,1.0,25,0.04,0.2091,0.22705
64,3,4,922,FF,1.0,25,0.04,0.8364,0.22846
64,3,4,922,SS,1.0,25,0.00125,0.052275,0.27583
64,3,4,922,SS,1.0,25,0.00125,0.2091,0.27593
64,3,4,922,SS,1.0,25,0.00125,0.8364,0.27729
64,3,4,922,SS,1.0,25,0.005,0.052275,0.27573
64,3,4,922,SS,1.0,25,0.005,0.2091,0.27598
64,3,4,922,SS,1.0,25,0.005,0.8364,0.27741
64,3,4,922,SS,1.0,25,0.04,0.052275,0.27579
64,3,4,922,SS,1.0,25,0.04,0.2091,0.27622
64,3,4,922,SS,1.0,25,0.04,0.8364,0.27759
64,3,4,922,TT,1.0,25,0.00125,0.052275,0.24922
64,3,4,922,TT,1.0,25,0.00125,0.2091,0.24954
64,3,4,922,TT,1.0,25,0.00125,0.8364,0.25093
64,3,4,922,TT,1.0,25,0.005,0.052275,0.24912
64,3,4,922,TT,1.0,25,0.005,0.2091,0.24960999999999997
64,3,4,922,TT,1.0,25,0.005,0.8364,0.2506
64,3,4,922,TT,1.0,25,0.04,0.052275,0.24927000000000002
64,3,4,922,TT,1.0,25,0.04,0.2091,0.24956
64,3,4,922,TT,1.0,25,0.04,0.8364,0.25087
64,2,4,780,FF,1.0,25,0.00125,0.052275,0.22310000000000002
64,2,4,780,FF,1.0,25,0.00125,0.2091,0.22333
64,2,4,780,FF,1.0,25,0.00125,0.8364,0.22433
64,2,4,780,FF,1.0,25,0.005,0.052275,0.22287
64,2,4,780,FF,1.0,25,0.005,0.2091,0.22319
64,2,4,780,FF,1.0,25,0.005,0.8364,0.22444
64,2,4,780,FF,1.0,25,0.04,0.052275,0.22305
64,2,4,780,FF,1.0,25,0.04,0.2091,0.22338
64,2,4,780,FF,1.0,25,0.04,0.8364,0.22451000000000002
64,2,4,780,SS,1.0,25,0.00125,0.052275,0.27102000000000004
64,2,4,780,SS,1.0,25,0.00125,0.2091,0.27135
64,2,4,780,SS,1.0,25,0.00125,0.8364,0.27273
64,2,4,780,SS,1.0,25,0.005,0.052275,0.27105999999999997
64,2,4,780,SS,1.0,25,0.005,0.2091,0.27127
64,2,4,780,SS,1.0,25,0.005,0.8364,0.27282999999999996
64,2,4,780,SS,1.0,25,0.04,0.052275,0.27105
64,2,4,780,SS,1.0,25,0.04,0.2091,0.2713
64,2,4,780,SS,1.0,25,0.04,0.8364,0.27285
64,2,4,780,TT,1.0,25,0.00125,0.052275,0.24507
64,2,4,780,TT,1.0,25,0.00125,0.2091,0.24528999999999998
64,2,4,780,TT,1.0,25,0.00125,0.8364,0.24652999999999997
64,2,4,780,TT,1.0,25,0.005,0.052275,0.24494
64,2,4,780,TT,1.0,25,0.005,0.2091,0.24531
64,2,4,780,TT,1.0,25,0.005,0.8364,0.24655
64,2,4,780,TT,1.0,25,0.04,0.052275,0.24504
64,2,4,780,TT,1.0,25,0.04,0.2091,0.24564
64,2,4,780,TT,1.0,25,0.04,0.8364,0.24654
32,1,2,584,FF,1.0,25,0.00125,0.052275,0.22154
32,1,2,584,FF,1.0,25,0.00125,0.2091,0.22174
32,1,2,584,FF,1.0,25,0.00125,0.8364,0.22285000000000002
32,1,2,584,FF,1.0,25,0.005,0.052275,0.22133
32,1,2,584,FF,1.0,25,0.005,0.2091,0.22172999999999998
32,1,2,584,FF,1.0,25,0.005,0.8364,0.22272
32,1,2,584,FF,1.0,25,0.04,0.052275,0.22146
32,1,2,584,FF,1.0,25,0.04,0.2091,0.22181
32,1,2,584,FF,1.0,25,0.04,0.8364,0.22283
32,1,2,584,SS,1.0,25,0.00125,0.052275,0.26865
32,1,2,584,SS,1.0,25,0.00125,0.2091,0.26902000000000004
32,1,2,584,SS,1.0,25,0.00125,0.8364,0.27041
32,1,2,584,SS,1.0,25,0.005,0.052275,0.26871
32,1,2,584,SS,1.0,25,0.005,0.2091,0.26911
32,1,2,584,SS,1.0,25,0.005,0.8364,0.27043
32,1,2,584,SS,1.0,25,0.04,0.052275,0.26875
32,1,2,584,SS,1.0,25,0.04,0.2091,0.26904
32,1,2,584,SS,1.0,25,0.04,0.8364,0.27055
32,1,2,584,TT,1.0,25,0.00125,0.052275,0.24329
32,1,2,584,TT,1.0,25,0.00125,0.2091,0.24347
32,1,2,584,TT,1.0,25,0.00125,0.8364,0.2447
32,1,2,584,TT,1.0,25,0.005,0.052275,0.24322000000000002
32,1,2,584,TT,1.0,25,0.005,0.2091,0.24357
32,1,2,584,TT,1.0,25,0.005,0.8364,0.24477000000000002
32,1,2,584,TT,1.0,25,0.04,0.052275,0.24329
32,1,2,584,TT,1.0,25,0.04,0.2091,0.24358999999999997
32,1,2,584,TT,1.0,25,0.04,0.8364,0.24467999999999998
32,2,2,642,FF,1.0,25,0.00125,0.052275,0.22533999999999998
32,2,2,642,FF,1.0,25,0.00125,0.2091,0.22555
32,2,2,642,FF,1.0,25,0.00125,0.8364,0.22665
32,2,2,642,FF,1.0,25,0.005,0.052275,0.22537
32,2,2,642,FF,1.0,25,0.005,0.2091,0.22542
32,2,2,642,FF,1.0,25,0.005,0.8364,0.22643
32,2,2,642,FF,1.0,25,0.04,0.052275,0.22558999999999998
32,2,2,642,FF,1.0,25,0.04,0.2091,0.22558999999999998
32,2,2,642,FF,1.0,25,0.04,0.8364,0.22674999999999998
32,2,2,642,SS,1.0,25,0.00125,0.052275,0.27363000000000004
32,2,2,642,SS,1.0,25,0.00125,0.2091,0.27408
32,2,2,642,SS,1.0,25,0.00125,0.8364,0.27523
32,2,2,642,SS,1.0,25,0.005,0.052275,0.27340000000000003
32,2,2,642,SS,1.0,25,0.005,0.2091,0.27366
32,2,2,642,SS,1.0,25,0.005,0.8364,0.27528
32,2,2,642,SS,1.0,25,0.04,0.052275,0.27339
32,2,2,642,SS,1.0,25,0.04,0.2091,0.27398
32,2,2,642,SS,1.0,25,0.04,0.8364,0.2752
32,2,2,642,TT,1.0,25,0.00125,0.052275,0.24745999999999999
32,2,2,642,TT,1.0,25,0.00125,0.2091,0.24766999999999997
32,2,2,642,TT,1.0,25,0.00125,0.8364,0.24877000000000002
32,2,2,642,TT,1.0,25,0.005,0.052275,0.24738
32,2,2,642,TT,1.0,25,0.005,0.2091,0.24769
32,2,2,642,TT,1.0,25,0.005,0.8364,0.24877000000000002
32,2,2,642,TT,1.0,25,0.04,0.052275,0.24742
32,2,2,642,TT,1.0,25,0.04,0.2091,0.24786999999999998
32,2,2,642,TT,1.0,25,0.04,0.8364,0.24909
16,2,1,545,FF,1.0,25,0.00125,0.052275,0.24514999999999998
16,2,1,545,FF,1.0,25,0.00125,0.2091,0.24546
16,2,1,545,FF,1.0,25,0.00125,0.8364,0.24648
16,2,1,545,FF,1.0,25,0.005,0.052275,0.24517999999999998
16,2,1,545,FF,1.0,25,0.005,0.2091,0.24543
16,2,1,545,FF,1.0,25,0.005,0.8364,0.24646999999999997
16,2,1,545,FF,1.0,25,0.04,0.052275,0.24536000000000002
16,2,1,545,FF,1.0,25,0.04,0.2091,0.24561
16,2,1,545,FF,1.0,25,0.04,0.8364,0.24656000000000003
16,2,1,545,SS,1.0,25,0.00125,0.052275,0.29841
16,2,1,545,SS,1.0,25,0.00125,0.2091,0.29889
16,2,1,545,SS,1.0,25,0.00125,0.8364,0.29997999999999997
16,2,1,545,SS,1.0,25,0.005,0.052275,0.29843000000000003
16,2,1,545,SS,1.0,25,0.005,0.2091,0.2987
16,2,1,545,SS,1.0,25,0.005,0.8364,0.30012999999999995
16,2,1,545,SS,1.0,25,0.04,0.052275,0.29830999999999996
16,2,1,545,SS,1.0,25,0.04,0.2091,0.29874
16,2,1,545,SS,1.0,25,0.04,0.8364,0.30011
16,2,1,545,TT,1.0,25,0.00125,0.052275,0.26954
16,2,1,545,TT,1.0,25,0.00125,0.2091,0.26983
16,2,1,545,TT,1.0,25,0.00125,0.8364,0.27093
16,2,1,545,TT,1.0,25,0.005,0.052275,0.26944999999999997
16,2,1,545,TT,1.0,25,0.005,0.2091,0.26990000000000003
16,2,1,545,TT,1.0,25,0.005,0.8364,0.27093
16,2,1,545,TT,1.0,25,0.04,0.052275,0.26973
16,2,1,545,TT,1.0,25,0.04,0.2091,0.26999
16,2,1,545,TT,1.0,25,0.04,0.8364,0.27142
16,3,1,577,FF,1.0,25,0.00125,0.052275,0.24907999999999997
16,3,1,577,FF,1.0,25,0.00125,0.2091,0.24947000000000003
16,3,1,577,FF,1.0,25,0.00125,0.8364,0.25053000000000003
16,3,1,577,FF,1.0,25,0.005,0.052275,0.24922999999999998
16,3,1,577,FF,1.0,25,0.005,0.2091,0.24939
16,3,1,577,FF,1.0,25,0.005,0.8364,0.2505
16,3,1,577,FF,1.0,25,0.04,0.052275,0.24939
16,3,1,577,FF,1.0,25,0.04,0.2091,0.24963999999999997
16,3,1,577,FF,1.0,25,0.04,0.8364,0.25067
16,3,1,577,SS,1.0,25,0.00125,0.052275,0.30352999999999997
16,3,1,577,SS,1.0,25,0.00125,0.2091,0.30381
16,3,1,577,SS,1.0,25,0.00125,0.8364,0.30519999999999997
16,3,1,577,SS,1.0,25,0.005,0.052275,0.30346999999999996
16,3,1,577,SS,1.0,25,0.005,0.2091,0.30373999999999995
16,3,1,577,SS,1.0,25,0.005,0.8364,0.30509
16,3,1,577,SS,1.0,25,0.04,0.052275,0.30369999999999997
16,3,1,577,SS,1.0,25,0.04,0.2091,0.30395
16,3,1,577,SS,1.0,25,0.04,0.8364,0.30522
16,3,1,577,TT,1.0,25,0.00125,0.052275,0.27411
16,3,1,577,TT,1.0,25,0.00125,0.2091,0.27423
16,3,1,577,TT,1.0,25,0.00125,0.8364,0.27543
16,3,1,577,TT,1.0,25,0.005,0.052275,0.27395
16,3,1,577,TT,1.0,25,0.005,0.2091,0.27429
16,3,1,577,TT,1.0,25,0.005,0.8364,0.27555999999999997
16,3,1,577,TT,1.0,25,0.04,0.052275,0.27455999999999997
16,3,1,577,TT,1.0,25,0.04,0.2091,0.27428
16,3,1,577,TT,1.0,25,0.04,0.8364,0.27565
32,3,2,701,FF,1.0,25,0.00125,0.052275,0.22893
32,3,2,701,FF,1.0,25,0.00125,0.2091,0.22913
32,3,2,701,FF,1.0,25,0.00125,0.8364,0.23035
32,3,2,701,FF,1.0,25,0.005,0.052275,0.22876
32,3,2,701,FF,1.0,25,0.005,0.2091,0.22889
32,3,2,701,FF,1.0,25,0.005,0.8364,0.23018
32,3,2,701,FF,1.0,25,0.04,0.052275,0.22888
32,3,2,701,FF,1.0,25,0.04,0.2091,0.22907
32,3,2,701,FF,1.0,25,0.04,0.8364,0.23024
32,3,2,701,SS,1.0,25,0.00125,0.052275,0.27804
32,3,2,701,SS,1.0,25,0.00125,0.2091,0.27853
32,3,2,701,SS,1.0,25,0.00125,0.8364,0.27971999999999997
32,3,2,701,SS,1.0,25,0.005,0.052275,0.27799
32,3,2,701,SS,1.0,25,0.005,0.2091,0.27854999999999996
32,3,2,701,SS,1.0,25,0.005,0.8364,0.27982
32,3,2,701,SS,1.0,25,0.04,0.052275,0.27827999999999997
32,3,2,701,SS,1.0,25,0.04,0.2091,0.27878
32,3,2,701,SS,1.0,25,0.04,0.8364,0.28027
32,3,2,701,TT,1.0,25,0.00125,0.052275,0.25155000000000005
32,3,2,701,TT,1.0,25,0.00125,0.2091,0.25172
32,3,2,701,TT,1.0,25,0.00125,0.8364,0.2531
32,3,2,701,TT,1.0,25,0.005,0.052275,0.25128
32,3,2,701,TT,1.0,25,0.005,0.2091,0.25178
32,3,2,701,TT,1.0,25,0.005,0.8364,0.25283
32,3,2,701,TT,1.0,25,0.04,0.052275,0.25175
32,3,2,701,TT,1.0,25,0.04,0.2091,0.25175
32,3,2,701,TT,1.0,25,0.04,0.8364,0.25299000000000005
16,1,1,512,FF,1.0,25,0.00125,0.052275,0.24119000000000002
16,1,1,512,FF,1.0,25,0.00125,0.2091,0.24160000000000004
16,1,1,512,FF,1.0,25,0.00125,0.8364,0.24266000000000001
16,1,1,512,FF,1.0,25,0.005,0.052275,0.24132
16,1,1,512,FF,1.0,25,0.005,0.2091,0.24153
16,1,1,512,FF,1.0,25,0.005,0.8364,0.24263
16,1,1,512,FF,1.0,25,0.04,0.052275,0.24134000000000003
16,1,1,512,FF,1.0,25,0.04,0.2091,0.24184000000000003
16,1,1,512,FF,1.0,25,0.04,0.8364,0.24273999999999998
16,1,1,512,SS,1.0,25,0.00125,0.052275,0.29352
16,1,1,512,SS,1.0,25,0.00125,0.2091,0.29379
16,1,1,512,SS,1.0,25,0.00125,0.8364,0.29528
16,1,1,512,SS,1.0,25,0.005,0.052275,0.29344000000000003
16,1,1,512,SS,1.0,25,0.005,0.2091,0.29385
16,1,1,512,SS,1.0,25,0.005,0.8364,0.29532
16,1,1,512,SS,1.0,25,0.04,0.052275,0.29348
16,1,1,512,SS,1.0,25,0.04,0.2091,0.29385
16,1,1,512,SS,1.0,25,0.04,0.8364,0.29524
16,1,1,512,TT,1.0,25,0.00125,0.052275,0.26513
16,1,1,512,TT,1.0,25,0.00125,0.2091,0.26541000000000003
16,1,1,512,TT,1.0,25,0.00125,0.8364,0.2666
16,1,1,512,TT,1.0,25,0.005,0.052275,0.26519
16,1,1,512,TT,1.0,25,0.005,0.2091,0.26541000000000003
16,1,1,512,TT,1.0,25,0.005,0.8364,0.26646
16,1,1,512,TT,1.0,25,0.04,0.052275,0.26518
16,1,1,512,TT,1.0,25,0.04,0.2091,0.26582
16,1,1,512,TT,1.0,25,0.04,0.8364,0.26681
1 num_words word_size words_per_row area process voltage temperature slew load rise_slew
2 64 3 4 922 FF 1.0 25 0.00125 0.052275 0.22674999999999998
3 64 3 4 922 FF 1.0 25 0.00125 0.2091 0.22697
4 64 3 4 922 FF 1.0 25 0.00125 0.8364 0.22827
5 64 3 4 922 FF 1.0 25 0.005 0.052275 0.22672
6 64 3 4 922 FF 1.0 25 0.005 0.2091 0.22709
7 64 3 4 922 FF 1.0 25 0.005 0.8364 0.22804
8 64 3 4 922 FF 1.0 25 0.04 0.052275 0.22672
9 64 3 4 922 FF 1.0 25 0.04 0.2091 0.22705
10 64 3 4 922 FF 1.0 25 0.04 0.8364 0.22846
11 64 3 4 922 SS 1.0 25 0.00125 0.052275 0.27583
12 64 3 4 922 SS 1.0 25 0.00125 0.2091 0.27593
13 64 3 4 922 SS 1.0 25 0.00125 0.8364 0.27729
14 64 3 4 922 SS 1.0 25 0.005 0.052275 0.27573
15 64 3 4 922 SS 1.0 25 0.005 0.2091 0.27598
16 64 3 4 922 SS 1.0 25 0.005 0.8364 0.27741
17 64 3 4 922 SS 1.0 25 0.04 0.052275 0.27579
18 64 3 4 922 SS 1.0 25 0.04 0.2091 0.27622
19 64 3 4 922 SS 1.0 25 0.04 0.8364 0.27759
20 64 3 4 922 TT 1.0 25 0.00125 0.052275 0.24922
21 64 3 4 922 TT 1.0 25 0.00125 0.2091 0.24954
22 64 3 4 922 TT 1.0 25 0.00125 0.8364 0.25093
23 64 3 4 922 TT 1.0 25 0.005 0.052275 0.24912
24 64 3 4 922 TT 1.0 25 0.005 0.2091 0.24960999999999997
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38 64 2 4 780 SS 1.0 25 0.00125 0.052275 0.27102000000000004
39 64 2 4 780 SS 1.0 25 0.00125 0.2091 0.27135
40 64 2 4 780 SS 1.0 25 0.00125 0.8364 0.27273
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44 64 2 4 780 SS 1.0 25 0.04 0.052275 0.27105
45 64 2 4 780 SS 1.0 25 0.04 0.2091 0.2713
46 64 2 4 780 SS 1.0 25 0.04 0.8364 0.27285
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100 32 2 2 642 SS 1.0 25 0.04 0.8364 0.2752
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102 32 2 2 642 TT 1.0 25 0.00125 0.2091 0.24766999999999997
103 32 2 2 642 TT 1.0 25 0.00125 0.8364 0.24877000000000002
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130 16 2 1 545 TT 1.0 25 0.00125 0.8364 0.27093
131 16 2 1 545 TT 1.0 25 0.005 0.052275 0.26944999999999997
132 16 2 1 545 TT 1.0 25 0.005 0.2091 0.26990000000000003
133 16 2 1 545 TT 1.0 25 0.005 0.8364 0.27093
134 16 2 1 545 TT 1.0 25 0.04 0.052275 0.26973
135 16 2 1 545 TT 1.0 25 0.04 0.2091 0.26999
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144 16 3 1 577 FF 1.0 25 0.04 0.2091 0.24963999999999997
145 16 3 1 577 FF 1.0 25 0.04 0.8364 0.25067
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147 16 3 1 577 SS 1.0 25 0.00125 0.2091 0.30381
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149 16 3 1 577 SS 1.0 25 0.005 0.052275 0.30346999999999996
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153 16 3 1 577 SS 1.0 25 0.04 0.2091 0.30395
154 16 3 1 577 SS 1.0 25 0.04 0.8364 0.30522
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156 16 3 1 577 TT 1.0 25 0.00125 0.2091 0.27423
157 16 3 1 577 TT 1.0 25 0.00125 0.8364 0.27543
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161 16 3 1 577 TT 1.0 25 0.04 0.052275 0.27455999999999997
162 16 3 1 577 TT 1.0 25 0.04 0.2091 0.27428
163 16 3 1 577 TT 1.0 25 0.04 0.8364 0.27565
164 32 3 2 701 FF 1.0 25 0.00125 0.052275 0.22893
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173 32 3 2 701 SS 1.0 25 0.00125 0.052275 0.27804
174 32 3 2 701 SS 1.0 25 0.00125 0.2091 0.27853
175 32 3 2 701 SS 1.0 25 0.00125 0.8364 0.27971999999999997
176 32 3 2 701 SS 1.0 25 0.005 0.052275 0.27799
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178 32 3 2 701 SS 1.0 25 0.005 0.8364 0.27982
179 32 3 2 701 SS 1.0 25 0.04 0.052275 0.27827999999999997
180 32 3 2 701 SS 1.0 25 0.04 0.2091 0.27878
181 32 3 2 701 SS 1.0 25 0.04 0.8364 0.28027
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183 32 3 2 701 TT 1.0 25 0.00125 0.2091 0.25172
184 32 3 2 701 TT 1.0 25 0.00125 0.8364 0.2531
185 32 3 2 701 TT 1.0 25 0.005 0.052275 0.25128
186 32 3 2 701 TT 1.0 25 0.005 0.2091 0.25178
187 32 3 2 701 TT 1.0 25 0.005 0.8364 0.25283
188 32 3 2 701 TT 1.0 25 0.04 0.052275 0.25175
189 32 3 2 701 TT 1.0 25 0.04 0.2091 0.25175
190 32 3 2 701 TT 1.0 25 0.04 0.8364 0.25299000000000005
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193 16 1 1 512 FF 1.0 25 0.00125 0.8364 0.24266000000000001
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196 16 1 1 512 FF 1.0 25 0.005 0.8364 0.24263
197 16 1 1 512 FF 1.0 25 0.04 0.052275 0.24134000000000003
198 16 1 1 512 FF 1.0 25 0.04 0.2091 0.24184000000000003
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203 16 1 1 512 SS 1.0 25 0.005 0.052275 0.29344000000000003
204 16 1 1 512 SS 1.0 25 0.005 0.2091 0.29385
205 16 1 1 512 SS 1.0 25 0.005 0.8364 0.29532
206 16 1 1 512 SS 1.0 25 0.04 0.052275 0.29348
207 16 1 1 512 SS 1.0 25 0.04 0.2091 0.29385
208 16 1 1 512 SS 1.0 25 0.04 0.8364 0.29524
209 16 1 1 512 TT 1.0 25 0.00125 0.052275 0.26513
210 16 1 1 512 TT 1.0 25 0.00125 0.2091 0.26541000000000003
211 16 1 1 512 TT 1.0 25 0.00125 0.8364 0.2666
212 16 1 1 512 TT 1.0 25 0.005 0.052275 0.26519
213 16 1 1 512 TT 1.0 25 0.005 0.2091 0.26541000000000003
214 16 1 1 512 TT 1.0 25 0.005 0.8364 0.26646
215 16 1 1 512 TT 1.0 25 0.04 0.052275 0.26518
216 16 1 1 512 TT 1.0 25 0.04 0.2091 0.26582
217 16 1 1 512 TT 1.0 25 0.04 0.8364 0.26681

View File

@ -0,0 +1,82 @@
num_words,word_size,words_per_row,local_array_size,area,process,voltage,temperature,slew,load,rise_delay,fall_delay,rise_slew,fall_slew,write1_power,write0_power,read1_power,read0_power,leakage_power
2048,32,8,0,0,TT,1.0,25,0.00125,0.052275,0.72804,0.72804,0.27723,0.27723,2.092868777777778,3.2371465555555554,3.093602111111111,3.095168777777778,0.33332
2048,32,8,0,0,TT,1.0,25,0.00125,0.2091,0.72938,0.72938,0.27716,0.27716,2.092868777777778,3.2371465555555554,3.093602111111111,3.095168777777778,0.33332
2048,32,8,0,0,TT,1.0,25,0.00125,0.8364,0.73548,0.73548,0.27867,0.27867,2.092868777777778,3.2371465555555554,3.093602111111111,3.095168777777778,0.33332
2048,32,8,0,0,TT,1.0,25,0.005,0.052275,0.7283,0.7283,0.27621,0.27621,2.092868777777778,3.2371465555555554,3.093602111111111,3.095168777777778,0.33332
2048,32,8,0,0,TT,1.0,25,0.005,0.2091,0.73001,0.73001,0.27708,0.27708,2.092868777777778,3.2371465555555554,3.093602111111111,3.095168777777778,0.33332
2048,32,8,0,0,TT,1.0,25,0.005,0.8364,0.73619,0.73619,0.278,0.278,2.092868777777778,3.2371465555555554,3.093602111111111,3.095168777777778,0.33332
2048,32,8,0,0,TT,1.0,25,0.04,0.052275,0.7329899999999999,0.7329899999999999,0.27509,0.27509,2.092868777777778,3.2371465555555554,3.093602111111111,3.095168777777778,0.33332
2048,32,8,0,0,TT,1.0,25,0.04,0.2091,0.73472,0.73472,0.27569,0.27569,2.092868777777778,3.2371465555555554,3.093602111111111,3.095168777777778,0.33332
2048,32,8,0,0,TT,1.0,25,0.04,0.8364,0.74073,0.74073,0.27765,0.27765,2.092868777777778,3.2371465555555554,3.093602111111111,3.095168777777778,0.33332
1024,64,4,0,0,TT,1.0,25,0.00125,0.052275,0.7484999999999999,0.7484999999999999,0.37309,0.37309,2.6634876666666667,3.3417210000000006,3.079543222222222,3.078932111111111,0.33816999999999997
1024,64,4,0,0,TT,1.0,25,0.00125,0.2091,0.75021,0.75021,0.37358,0.37358,2.6634876666666667,3.3417210000000006,3.079543222222222,3.078932111111111,0.33816999999999997
1024,64,4,0,0,TT,1.0,25,0.00125,0.8364,0.75676,0.75676,0.37532,0.37532,2.6634876666666667,3.3417210000000006,3.079543222222222,3.078932111111111,0.33816999999999997
1024,64,4,0,0,TT,1.0,25,0.005,0.052275,0.7490199999999999,0.7490199999999999,0.37309,0.37309,2.6634876666666667,3.3417210000000006,3.079543222222222,3.078932111111111,0.33816999999999997
1024,64,4,0,0,TT,1.0,25,0.005,0.2091,0.75092,0.75092,0.37370000000000003,0.37370000000000003,2.6634876666666667,3.3417210000000006,3.079543222222222,3.078932111111111,0.33816999999999997
1024,64,4,0,0,TT,1.0,25,0.005,0.8364,0.75752,0.75752,0.37552,0.37552,2.6634876666666667,3.3417210000000006,3.079543222222222,3.078932111111111,0.33816999999999997
1024,64,4,0,0,TT,1.0,25,0.04,0.052275,0.75399,0.75399,0.37582,0.37582,2.6634876666666667,3.3417210000000006,3.079543222222222,3.078932111111111,0.33816999999999997
1024,64,4,0,0,TT,1.0,25,0.04,0.2091,0.75554,0.75554,0.37531000000000003,0.37531000000000003,2.6634876666666667,3.3417210000000006,3.079543222222222,3.078932111111111,0.33816999999999997
1024,64,4,0,0,TT,1.0,25,0.04,0.8364,0.76181,0.76181,0.37611,0.37611,2.6634876666666667,3.3417210000000006,3.079543222222222,3.078932111111111,0.33816999999999997
512,64,4,0,0,TT,1.0,25,0.00125,0.052275,0.65448,0.65448,0.42133,0.42133,2.2284065555555554,2.582773222222222,2.356351,2.356239888888889,0.17345
512,64,4,0,0,TT,1.0,25,0.00125,0.2091,0.6561600000000001,0.6561600000000001,0.42239,0.42239,2.2284065555555554,2.582773222222222,2.356351,2.356239888888889,0.17345
512,64,4,0,0,TT,1.0,25,0.00125,0.8364,0.66169,0.66169,0.42561,0.42561,2.2284065555555554,2.582773222222222,2.356351,2.356239888888889,0.17345
512,64,4,0,0,TT,1.0,25,0.005,0.052275,0.65515,0.65515,0.42155,0.42155,2.2284065555555554,2.582773222222222,2.356351,2.356239888888889,0.17345
512,64,4,0,0,TT,1.0,25,0.005,0.2091,0.6556799999999999,0.6556799999999999,0.42229999999999995,0.42229999999999995,2.2284065555555554,2.582773222222222,2.356351,2.356239888888889,0.17345
512,64,4,0,0,TT,1.0,25,0.005,0.8364,0.6625000000000001,0.6625000000000001,0.42538,0.42538,2.2284065555555554,2.582773222222222,2.356351,2.356239888888889,0.17345
512,64,4,0,0,TT,1.0,25,0.04,0.052275,0.65991,0.65991,0.42117,0.42117,2.2284065555555554,2.582773222222222,2.356351,2.356239888888889,0.17345
512,64,4,0,0,TT,1.0,25,0.04,0.2091,0.6612100000000001,0.6612100000000001,0.42212,0.42212,2.2284065555555554,2.582773222222222,2.356351,2.356239888888889,0.17345
512,64,4,0,0,TT,1.0,25,0.04,0.8364,0.66734,0.66734,0.42366000000000004,0.42366000000000004,2.2284065555555554,2.582773222222222,2.356351,2.356239888888889,0.17345
1024,32,8,0,0,TT,1.0,25,0.00125,0.052275,0.63671,0.63671,0.31766,0.31766,2.018727111111111,2.9138826666666664,2.7619493333333334,2.7608826666666664,0.17174
1024,32,8,0,0,TT,1.0,25,0.00125,0.2091,0.6386999999999999,0.6386999999999999,0.31834999999999997,0.31834999999999997,2.018727111111111,2.9138826666666664,2.7619493333333334,2.7608826666666664,0.17174
1024,32,8,0,0,TT,1.0,25,0.00125,0.8364,0.64426,0.64426,0.32078999999999996,0.32078999999999996,2.018727111111111,2.9138826666666664,2.7619493333333334,2.7608826666666664,0.17174
1024,32,8,0,0,TT,1.0,25,0.005,0.052275,0.6377200000000001,0.6377200000000001,0.31766,0.31766,2.018727111111111,2.9138826666666664,2.7619493333333334,2.7608826666666664,0.17174
1024,32,8,0,0,TT,1.0,25,0.005,0.2091,0.63897,0.63897,0.31832,0.31832,2.018727111111111,2.9138826666666664,2.7619493333333334,2.7608826666666664,0.17174
1024,32,8,0,0,TT,1.0,25,0.005,0.8364,0.64432,0.64432,0.32087,0.32087,2.018727111111111,2.9138826666666664,2.7619493333333334,2.7608826666666664,0.17174
1024,32,8,0,0,TT,1.0,25,0.04,0.052275,0.6418699999999999,0.6418699999999999,0.31814,0.31814,2.018727111111111,2.9138826666666664,2.7619493333333334,2.7608826666666664,0.17174
1024,32,8,0,0,TT,1.0,25,0.04,0.2091,0.64316,0.64316,0.31871,0.31871,2.018727111111111,2.9138826666666664,2.7619493333333334,2.7608826666666664,0.17174
1024,32,8,0,0,TT,1.0,25,0.04,0.8364,0.64915,0.64915,0.32105999999999996,0.32105999999999996,2.018727111111111,2.9138826666666664,2.7619493333333334,2.7608826666666664,0.17174
512,8,8,0,0,TT,1.0,25,0.00125,0.052275,0.41187999999999997,0.41187999999999997,0.25485,0.25485,0.8430563444444444,1.0136819000000001,0.9556841222222222,0.9558596777777777,0.024709000000000002
512,8,8,0,0,TT,1.0,25,0.00125,0.2091,0.41344000000000003,0.41344000000000003,0.25508000000000003,0.25508000000000003,0.8430563444444444,1.0136819000000001,0.9556841222222222,0.9558596777777777,0.024709000000000002
512,8,8,0,0,TT,1.0,25,0.00125,0.8364,0.41973,0.41973,0.25621,0.25621,0.8430563444444444,1.0136819000000001,0.9556841222222222,0.9558596777777777,0.024709000000000002
512,8,8,0,0,TT,1.0,25,0.005,0.052275,0.4124,0.4124,0.25453,0.25453,0.8430563444444444,1.0136819000000001,0.9556841222222222,0.9558596777777777,0.024709000000000002
512,8,8,0,0,TT,1.0,25,0.005,0.2091,0.41421,0.41421,0.25514000000000003,0.25514000000000003,0.8430563444444444,1.0136819000000001,0.9556841222222222,0.9558596777777777,0.024709000000000002
512,8,8,0,0,TT,1.0,25,0.005,0.8364,0.4204,0.4204,0.25642,0.25642,0.8430563444444444,1.0136819000000001,0.9556841222222222,0.9558596777777777,0.024709000000000002
512,8,8,0,0,TT,1.0,25,0.04,0.052275,0.41726,0.41726,0.25458000000000003,0.25458000000000003,0.8430563444444444,1.0136819000000001,0.9556841222222222,0.9558596777777777,0.024709000000000002
512,8,8,0,0,TT,1.0,25,0.04,0.2091,0.41863,0.41863,0.25496,0.25496,0.8430563444444444,1.0136819000000001,0.9556841222222222,0.9558596777777777,0.024709000000000002
512,8,8,0,0,TT,1.0,25,0.04,0.8364,0.42510000000000003,0.42510000000000003,0.25647,0.25647,0.8430563444444444,1.0136819000000001,0.9556841222222222,0.9558596777777777,0.024709000000000002
256,32,4,0,0,TT,1.0,25,0.00125,0.052275,0.45405,0.45405,0.34162,0.34162,1.6616557777777778,1.6992002222222224,1.520566888888889,1.5201113333333334,0.049174
256,32,4,0,0,TT,1.0,25,0.00125,0.2091,0.45528,0.45528,0.34209999999999996,0.34209999999999996,1.6616557777777778,1.6992002222222224,1.520566888888889,1.5201113333333334,0.049174
256,32,4,0,0,TT,1.0,25,0.00125,0.8364,0.46157,0.46157,0.3443,0.3443,1.6616557777777778,1.6992002222222224,1.520566888888889,1.5201113333333334,0.049174
256,32,4,0,0,TT,1.0,25,0.005,0.052275,0.45478,0.45478,0.34142,0.34142,1.6616557777777778,1.6992002222222224,1.520566888888889,1.5201113333333334,0.049174
256,32,4,0,0,TT,1.0,25,0.005,0.2091,0.45639,0.45639,0.342,0.342,1.6616557777777778,1.6992002222222224,1.520566888888889,1.5201113333333334,0.049174
256,32,4,0,0,TT,1.0,25,0.005,0.8364,0.46215999999999996,0.46215999999999996,0.34429,0.34429,1.6616557777777778,1.6992002222222224,1.520566888888889,1.5201113333333334,0.049174
256,32,4,0,0,TT,1.0,25,0.04,0.052275,0.45906,0.45906,0.34167000000000003,0.34167000000000003,1.6616557777777778,1.6992002222222224,1.520566888888889,1.5201113333333334,0.049174
256,32,4,0,0,TT,1.0,25,0.04,0.2091,0.46106,0.46106,0.34254,0.34254,1.6616557777777778,1.6992002222222224,1.520566888888889,1.5201113333333334,0.049174
256,32,4,0,0,TT,1.0,25,0.04,0.8364,0.46706000000000003,0.46706000000000003,0.34437,0.34437,1.6616557777777778,1.6992002222222224,1.520566888888889,1.5201113333333334,0.049174
1024,8,16,0,0,TT,1.0,25,0.00125,0.052275,0.5018900000000001,0.5018900000000001,0.24662000000000003,0.24662000000000003,1.1389843333333336,1.4221287777777776,1.366762111111111,1.3678510000000002,0.046668
1024,8,16,0,0,TT,1.0,25,0.00125,0.2091,0.50374,0.50374,0.24719,0.24719,1.1389843333333336,1.4221287777777776,1.366762111111111,1.3678510000000002,0.046668
1024,8,16,0,0,TT,1.0,25,0.00125,0.8364,0.5103,0.5103,0.24869,0.24869,1.1389843333333336,1.4221287777777776,1.366762111111111,1.3678510000000002,0.046668
1024,8,16,0,0,TT,1.0,25,0.005,0.052275,0.50258,0.50258,0.2466,0.2466,1.1389843333333336,1.4221287777777776,1.366762111111111,1.3678510000000002,0.046668
1024,8,16,0,0,TT,1.0,25,0.005,0.2091,0.50431,0.50431,0.24699999999999997,0.24699999999999997,1.1389843333333336,1.4221287777777776,1.366762111111111,1.3678510000000002,0.046668
1024,8,16,0,0,TT,1.0,25,0.005,0.8364,0.5107,0.5107,0.24854,0.24854,1.1389843333333336,1.4221287777777776,1.366762111111111,1.3678510000000002,0.046668
1024,8,16,0,0,TT,1.0,25,0.04,0.052275,0.50744,0.50744,0.24681999999999998,0.24681999999999998,1.1389843333333336,1.4221287777777776,1.366762111111111,1.3678510000000002,0.046668
1024,8,16,0,0,TT,1.0,25,0.04,0.2091,0.50883,0.50883,0.24710000000000001,0.24710000000000001,1.1389843333333336,1.4221287777777776,1.366762111111111,1.3678510000000002,0.046668
1024,8,16,0,0,TT,1.0,25,0.04,0.8364,0.51523,0.51523,0.2486,0.2486,1.1389843333333336,1.4221287777777776,1.366762111111111,1.3678510000000002,0.046668
256,8,8,0,0,TT,1.0,25,0.00125,0.052275,0.38406,0.38406,0.2619,0.2619,0.827475588888889,0.9164678111111111,0.8569578111111111,0.8563933666666668,0.013788000000000002
256,8,8,0,0,TT,1.0,25,0.00125,0.2091,0.38583,0.38583,0.26224000000000003,0.26224000000000003,0.827475588888889,0.9164678111111111,0.8569578111111111,0.8563933666666668,0.013788000000000002
256,8,8,0,0,TT,1.0,25,0.00125,0.8364,0.3919,0.3919,0.26391000000000003,0.26391000000000003,0.827475588888889,0.9164678111111111,0.8569578111111111,0.8563933666666668,0.013788000000000002
256,8,8,0,0,TT,1.0,25,0.005,0.052275,0.38477,0.38477,0.26191,0.26191,0.827475588888889,0.9164678111111111,0.8569578111111111,0.8563933666666668,0.013788000000000002
256,8,8,0,0,TT,1.0,25,0.005,0.2091,0.38619,0.38619,0.26216,0.26216,0.827475588888889,0.9164678111111111,0.8569578111111111,0.8563933666666668,0.013788000000000002
256,8,8,0,0,TT,1.0,25,0.005,0.8364,0.39225000000000004,0.39225000000000004,0.26381,0.26381,0.827475588888889,0.9164678111111111,0.8569578111111111,0.8563933666666668,0.013788000000000002
256,8,8,0,0,TT,1.0,25,0.04,0.052275,0.38925000000000004,0.38925000000000004,0.2621,0.2621,0.827475588888889,0.9164678111111111,0.8569578111111111,0.8563933666666668,0.013788000000000002
256,8,8,0,0,TT,1.0,25,0.04,0.2091,0.39111999999999997,0.39111999999999997,0.26225,0.26225,0.827475588888889,0.9164678111111111,0.8569578111111111,0.8563933666666668,0.013788000000000002
256,8,8,0,0,TT,1.0,25,0.04,0.8364,0.39707,0.39707,0.264,0.264,0.827475588888889,0.9164678111111111,0.8569578111111111,0.8563933666666668,0.013788000000000002
512,32,4,0,0,TT,1.0,25,0.00125,0.052275,0.5222600000000001,0.5222600000000001,0.31686,0.31686,1.6075204444444446,1.8242204444444445,1.6589204444444445,1.6593426666666666,0.091506
512,32,4,0,0,TT,1.0,25,0.00125,0.2091,0.52378,0.52378,0.31689,0.31689,1.6075204444444446,1.8242204444444445,1.6589204444444445,1.6593426666666666,0.091506
512,32,4,0,0,TT,1.0,25,0.00125,0.8364,0.52941,0.52941,0.31903,0.31903,1.6075204444444446,1.8242204444444445,1.6589204444444445,1.6593426666666666,0.091506
512,32,4,0,0,TT,1.0,25,0.005,0.052275,0.52267,0.52267,0.31698,0.31698,1.6075204444444446,1.8242204444444445,1.6589204444444445,1.6593426666666666,0.091506
512,32,4,0,0,TT,1.0,25,0.005,0.2091,0.52425,0.52425,0.31673999999999997,0.31673999999999997,1.6075204444444446,1.8242204444444445,1.6589204444444445,1.6593426666666666,0.091506
512,32,4,0,0,TT,1.0,25,0.005,0.8364,0.53028,0.53028,0.31927,0.31927,1.6075204444444446,1.8242204444444445,1.6589204444444445,1.6593426666666666,0.091506
512,32,4,0,0,TT,1.0,25,0.04,0.052275,0.52742,0.52742,0.31582,0.31582,1.6075204444444446,1.8242204444444445,1.6589204444444445,1.6593426666666666,0.091506
512,32,4,0,0,TT,1.0,25,0.04,0.2091,0.5289699999999999,0.5289699999999999,0.31623,0.31623,1.6075204444444446,1.8242204444444445,1.6589204444444445,1.6593426666666666,0.091506
512,32,4,0,0,TT,1.0,25,0.04,0.8364,0.5341899999999999,0.5341899999999999,0.3189,0.3189,1.6075204444444446,1.8242204444444445,1.6589204444444445,1.6593426666666666,0.091506
1 num_words word_size words_per_row local_array_size area process voltage temperature slew load rise_delay fall_delay rise_slew fall_slew write1_power write0_power read1_power read0_power leakage_power
2 2048 32 8 0 0 TT 1.0 25 0.00125 0.052275 0.72804 0.72804 0.27723 0.27723 2.092868777777778 3.2371465555555554 3.093602111111111 3.095168777777778 0.33332
3 2048 32 8 0 0 TT 1.0 25 0.00125 0.2091 0.72938 0.72938 0.27716 0.27716 2.092868777777778 3.2371465555555554 3.093602111111111 3.095168777777778 0.33332
4 2048 32 8 0 0 TT 1.0 25 0.00125 0.8364 0.73548 0.73548 0.27867 0.27867 2.092868777777778 3.2371465555555554 3.093602111111111 3.095168777777778 0.33332
5 2048 32 8 0 0 TT 1.0 25 0.005 0.052275 0.7283 0.7283 0.27621 0.27621 2.092868777777778 3.2371465555555554 3.093602111111111 3.095168777777778 0.33332
6 2048 32 8 0 0 TT 1.0 25 0.005 0.2091 0.73001 0.73001 0.27708 0.27708 2.092868777777778 3.2371465555555554 3.093602111111111 3.095168777777778 0.33332
7 2048 32 8 0 0 TT 1.0 25 0.005 0.8364 0.73619 0.73619 0.278 0.278 2.092868777777778 3.2371465555555554 3.093602111111111 3.095168777777778 0.33332
8 2048 32 8 0 0 TT 1.0 25 0.04 0.052275 0.7329899999999999 0.7329899999999999 0.27509 0.27509 2.092868777777778 3.2371465555555554 3.093602111111111 3.095168777777778 0.33332
9 2048 32 8 0 0 TT 1.0 25 0.04 0.2091 0.73472 0.73472 0.27569 0.27569 2.092868777777778 3.2371465555555554 3.093602111111111 3.095168777777778 0.33332
10 2048 32 8 0 0 TT 1.0 25 0.04 0.8364 0.74073 0.74073 0.27765 0.27765 2.092868777777778 3.2371465555555554 3.093602111111111 3.095168777777778 0.33332
11 1024 64 4 0 0 TT 1.0 25 0.00125 0.052275 0.7484999999999999 0.7484999999999999 0.37309 0.37309 2.6634876666666667 3.3417210000000006 3.079543222222222 3.078932111111111 0.33816999999999997
12 1024 64 4 0 0 TT 1.0 25 0.00125 0.2091 0.75021 0.75021 0.37358 0.37358 2.6634876666666667 3.3417210000000006 3.079543222222222 3.078932111111111 0.33816999999999997
13 1024 64 4 0 0 TT 1.0 25 0.00125 0.8364 0.75676 0.75676 0.37532 0.37532 2.6634876666666667 3.3417210000000006 3.079543222222222 3.078932111111111 0.33816999999999997
14 1024 64 4 0 0 TT 1.0 25 0.005 0.052275 0.7490199999999999 0.7490199999999999 0.37309 0.37309 2.6634876666666667 3.3417210000000006 3.079543222222222 3.078932111111111 0.33816999999999997
15 1024 64 4 0 0 TT 1.0 25 0.005 0.2091 0.75092 0.75092 0.37370000000000003 0.37370000000000003 2.6634876666666667 3.3417210000000006 3.079543222222222 3.078932111111111 0.33816999999999997
16 1024 64 4 0 0 TT 1.0 25 0.005 0.8364 0.75752 0.75752 0.37552 0.37552 2.6634876666666667 3.3417210000000006 3.079543222222222 3.078932111111111 0.33816999999999997
17 1024 64 4 0 0 TT 1.0 25 0.04 0.052275 0.75399 0.75399 0.37582 0.37582 2.6634876666666667 3.3417210000000006 3.079543222222222 3.078932111111111 0.33816999999999997
18 1024 64 4 0 0 TT 1.0 25 0.04 0.2091 0.75554 0.75554 0.37531000000000003 0.37531000000000003 2.6634876666666667 3.3417210000000006 3.079543222222222 3.078932111111111 0.33816999999999997
19 1024 64 4 0 0 TT 1.0 25 0.04 0.8364 0.76181 0.76181 0.37611 0.37611 2.6634876666666667 3.3417210000000006 3.079543222222222 3.078932111111111 0.33816999999999997
20 512 64 4 0 0 TT 1.0 25 0.00125 0.052275 0.65448 0.65448 0.42133 0.42133 2.2284065555555554 2.582773222222222 2.356351 2.356239888888889 0.17345
21 512 64 4 0 0 TT 1.0 25 0.00125 0.2091 0.6561600000000001 0.6561600000000001 0.42239 0.42239 2.2284065555555554 2.582773222222222 2.356351 2.356239888888889 0.17345
22 512 64 4 0 0 TT 1.0 25 0.00125 0.8364 0.66169 0.66169 0.42561 0.42561 2.2284065555555554 2.582773222222222 2.356351 2.356239888888889 0.17345
23 512 64 4 0 0 TT 1.0 25 0.005 0.052275 0.65515 0.65515 0.42155 0.42155 2.2284065555555554 2.582773222222222 2.356351 2.356239888888889 0.17345
24 512 64 4 0 0 TT 1.0 25 0.005 0.2091 0.6556799999999999 0.6556799999999999 0.42229999999999995 0.42229999999999995 2.2284065555555554 2.582773222222222 2.356351 2.356239888888889 0.17345
25 512 64 4 0 0 TT 1.0 25 0.005 0.8364 0.6625000000000001 0.6625000000000001 0.42538 0.42538 2.2284065555555554 2.582773222222222 2.356351 2.356239888888889 0.17345
26 512 64 4 0 0 TT 1.0 25 0.04 0.052275 0.65991 0.65991 0.42117 0.42117 2.2284065555555554 2.582773222222222 2.356351 2.356239888888889 0.17345
27 512 64 4 0 0 TT 1.0 25 0.04 0.2091 0.6612100000000001 0.6612100000000001 0.42212 0.42212 2.2284065555555554 2.582773222222222 2.356351 2.356239888888889 0.17345
28 512 64 4 0 0 TT 1.0 25 0.04 0.8364 0.66734 0.66734 0.42366000000000004 0.42366000000000004 2.2284065555555554 2.582773222222222 2.356351 2.356239888888889 0.17345
29 1024 32 8 0 0 TT 1.0 25 0.00125 0.052275 0.63671 0.63671 0.31766 0.31766 2.018727111111111 2.9138826666666664 2.7619493333333334 2.7608826666666664 0.17174
30 1024 32 8 0 0 TT 1.0 25 0.00125 0.2091 0.6386999999999999 0.6386999999999999 0.31834999999999997 0.31834999999999997 2.018727111111111 2.9138826666666664 2.7619493333333334 2.7608826666666664 0.17174
31 1024 32 8 0 0 TT 1.0 25 0.00125 0.8364 0.64426 0.64426 0.32078999999999996 0.32078999999999996 2.018727111111111 2.9138826666666664 2.7619493333333334 2.7608826666666664 0.17174
32 1024 32 8 0 0 TT 1.0 25 0.005 0.052275 0.6377200000000001 0.6377200000000001 0.31766 0.31766 2.018727111111111 2.9138826666666664 2.7619493333333334 2.7608826666666664 0.17174
33 1024 32 8 0 0 TT 1.0 25 0.005 0.2091 0.63897 0.63897 0.31832 0.31832 2.018727111111111 2.9138826666666664 2.7619493333333334 2.7608826666666664 0.17174
34 1024 32 8 0 0 TT 1.0 25 0.005 0.8364 0.64432 0.64432 0.32087 0.32087 2.018727111111111 2.9138826666666664 2.7619493333333334 2.7608826666666664 0.17174
35 1024 32 8 0 0 TT 1.0 25 0.04 0.052275 0.6418699999999999 0.6418699999999999 0.31814 0.31814 2.018727111111111 2.9138826666666664 2.7619493333333334 2.7608826666666664 0.17174
36 1024 32 8 0 0 TT 1.0 25 0.04 0.2091 0.64316 0.64316 0.31871 0.31871 2.018727111111111 2.9138826666666664 2.7619493333333334 2.7608826666666664 0.17174
37 1024 32 8 0 0 TT 1.0 25 0.04 0.8364 0.64915 0.64915 0.32105999999999996 0.32105999999999996 2.018727111111111 2.9138826666666664 2.7619493333333334 2.7608826666666664 0.17174
38 512 8 8 0 0 TT 1.0 25 0.00125 0.052275 0.41187999999999997 0.41187999999999997 0.25485 0.25485 0.8430563444444444 1.0136819000000001 0.9556841222222222 0.9558596777777777 0.024709000000000002
39 512 8 8 0 0 TT 1.0 25 0.00125 0.2091 0.41344000000000003 0.41344000000000003 0.25508000000000003 0.25508000000000003 0.8430563444444444 1.0136819000000001 0.9556841222222222 0.9558596777777777 0.024709000000000002
40 512 8 8 0 0 TT 1.0 25 0.00125 0.8364 0.41973 0.41973 0.25621 0.25621 0.8430563444444444 1.0136819000000001 0.9556841222222222 0.9558596777777777 0.024709000000000002
41 512 8 8 0 0 TT 1.0 25 0.005 0.052275 0.4124 0.4124 0.25453 0.25453 0.8430563444444444 1.0136819000000001 0.9556841222222222 0.9558596777777777 0.024709000000000002
42 512 8 8 0 0 TT 1.0 25 0.005 0.2091 0.41421 0.41421 0.25514000000000003 0.25514000000000003 0.8430563444444444 1.0136819000000001 0.9556841222222222 0.9558596777777777 0.024709000000000002
43 512 8 8 0 0 TT 1.0 25 0.005 0.8364 0.4204 0.4204 0.25642 0.25642 0.8430563444444444 1.0136819000000001 0.9556841222222222 0.9558596777777777 0.024709000000000002
44 512 8 8 0 0 TT 1.0 25 0.04 0.052275 0.41726 0.41726 0.25458000000000003 0.25458000000000003 0.8430563444444444 1.0136819000000001 0.9556841222222222 0.9558596777777777 0.024709000000000002
45 512 8 8 0 0 TT 1.0 25 0.04 0.2091 0.41863 0.41863 0.25496 0.25496 0.8430563444444444 1.0136819000000001 0.9556841222222222 0.9558596777777777 0.024709000000000002
46 512 8 8 0 0 TT 1.0 25 0.04 0.8364 0.42510000000000003 0.42510000000000003 0.25647 0.25647 0.8430563444444444 1.0136819000000001 0.9556841222222222 0.9558596777777777 0.024709000000000002
47 256 32 4 0 0 TT 1.0 25 0.00125 0.052275 0.45405 0.45405 0.34162 0.34162 1.6616557777777778 1.6992002222222224 1.520566888888889 1.5201113333333334 0.049174
48 256 32 4 0 0 TT 1.0 25 0.00125 0.2091 0.45528 0.45528 0.34209999999999996 0.34209999999999996 1.6616557777777778 1.6992002222222224 1.520566888888889 1.5201113333333334 0.049174
49 256 32 4 0 0 TT 1.0 25 0.00125 0.8364 0.46157 0.46157 0.3443 0.3443 1.6616557777777778 1.6992002222222224 1.520566888888889 1.5201113333333334 0.049174
50 256 32 4 0 0 TT 1.0 25 0.005 0.052275 0.45478 0.45478 0.34142 0.34142 1.6616557777777778 1.6992002222222224 1.520566888888889 1.5201113333333334 0.049174
51 256 32 4 0 0 TT 1.0 25 0.005 0.2091 0.45639 0.45639 0.342 0.342 1.6616557777777778 1.6992002222222224 1.520566888888889 1.5201113333333334 0.049174
52 256 32 4 0 0 TT 1.0 25 0.005 0.8364 0.46215999999999996 0.46215999999999996 0.34429 0.34429 1.6616557777777778 1.6992002222222224 1.520566888888889 1.5201113333333334 0.049174
53 256 32 4 0 0 TT 1.0 25 0.04 0.052275 0.45906 0.45906 0.34167000000000003 0.34167000000000003 1.6616557777777778 1.6992002222222224 1.520566888888889 1.5201113333333334 0.049174
54 256 32 4 0 0 TT 1.0 25 0.04 0.2091 0.46106 0.46106 0.34254 0.34254 1.6616557777777778 1.6992002222222224 1.520566888888889 1.5201113333333334 0.049174
55 256 32 4 0 0 TT 1.0 25 0.04 0.8364 0.46706000000000003 0.46706000000000003 0.34437 0.34437 1.6616557777777778 1.6992002222222224 1.520566888888889 1.5201113333333334 0.049174
56 1024 8 16 0 0 TT 1.0 25 0.00125 0.052275 0.5018900000000001 0.5018900000000001 0.24662000000000003 0.24662000000000003 1.1389843333333336 1.4221287777777776 1.366762111111111 1.3678510000000002 0.046668
57 1024 8 16 0 0 TT 1.0 25 0.00125 0.2091 0.50374 0.50374 0.24719 0.24719 1.1389843333333336 1.4221287777777776 1.366762111111111 1.3678510000000002 0.046668
58 1024 8 16 0 0 TT 1.0 25 0.00125 0.8364 0.5103 0.5103 0.24869 0.24869 1.1389843333333336 1.4221287777777776 1.366762111111111 1.3678510000000002 0.046668
59 1024 8 16 0 0 TT 1.0 25 0.005 0.052275 0.50258 0.50258 0.2466 0.2466 1.1389843333333336 1.4221287777777776 1.366762111111111 1.3678510000000002 0.046668
60 1024 8 16 0 0 TT 1.0 25 0.005 0.2091 0.50431 0.50431 0.24699999999999997 0.24699999999999997 1.1389843333333336 1.4221287777777776 1.366762111111111 1.3678510000000002 0.046668
61 1024 8 16 0 0 TT 1.0 25 0.005 0.8364 0.5107 0.5107 0.24854 0.24854 1.1389843333333336 1.4221287777777776 1.366762111111111 1.3678510000000002 0.046668
62 1024 8 16 0 0 TT 1.0 25 0.04 0.052275 0.50744 0.50744 0.24681999999999998 0.24681999999999998 1.1389843333333336 1.4221287777777776 1.366762111111111 1.3678510000000002 0.046668
63 1024 8 16 0 0 TT 1.0 25 0.04 0.2091 0.50883 0.50883 0.24710000000000001 0.24710000000000001 1.1389843333333336 1.4221287777777776 1.366762111111111 1.3678510000000002 0.046668
64 1024 8 16 0 0 TT 1.0 25 0.04 0.8364 0.51523 0.51523 0.2486 0.2486 1.1389843333333336 1.4221287777777776 1.366762111111111 1.3678510000000002 0.046668
65 256 8 8 0 0 TT 1.0 25 0.00125 0.052275 0.38406 0.38406 0.2619 0.2619 0.827475588888889 0.9164678111111111 0.8569578111111111 0.8563933666666668 0.013788000000000002
66 256 8 8 0 0 TT 1.0 25 0.00125 0.2091 0.38583 0.38583 0.26224000000000003 0.26224000000000003 0.827475588888889 0.9164678111111111 0.8569578111111111 0.8563933666666668 0.013788000000000002
67 256 8 8 0 0 TT 1.0 25 0.00125 0.8364 0.3919 0.3919 0.26391000000000003 0.26391000000000003 0.827475588888889 0.9164678111111111 0.8569578111111111 0.8563933666666668 0.013788000000000002
68 256 8 8 0 0 TT 1.0 25 0.005 0.052275 0.38477 0.38477 0.26191 0.26191 0.827475588888889 0.9164678111111111 0.8569578111111111 0.8563933666666668 0.013788000000000002
69 256 8 8 0 0 TT 1.0 25 0.005 0.2091 0.38619 0.38619 0.26216 0.26216 0.827475588888889 0.9164678111111111 0.8569578111111111 0.8563933666666668 0.013788000000000002
70 256 8 8 0 0 TT 1.0 25 0.005 0.8364 0.39225000000000004 0.39225000000000004 0.26381 0.26381 0.827475588888889 0.9164678111111111 0.8569578111111111 0.8563933666666668 0.013788000000000002
71 256 8 8 0 0 TT 1.0 25 0.04 0.052275 0.38925000000000004 0.38925000000000004 0.2621 0.2621 0.827475588888889 0.9164678111111111 0.8569578111111111 0.8563933666666668 0.013788000000000002
72 256 8 8 0 0 TT 1.0 25 0.04 0.2091 0.39111999999999997 0.39111999999999997 0.26225 0.26225 0.827475588888889 0.9164678111111111 0.8569578111111111 0.8563933666666668 0.013788000000000002
73 256 8 8 0 0 TT 1.0 25 0.04 0.8364 0.39707 0.39707 0.264 0.264 0.827475588888889 0.9164678111111111 0.8569578111111111 0.8563933666666668 0.013788000000000002
74 512 32 4 0 0 TT 1.0 25 0.00125 0.052275 0.5222600000000001 0.5222600000000001 0.31686 0.31686 1.6075204444444446 1.8242204444444445 1.6589204444444445 1.6593426666666666 0.091506
75 512 32 4 0 0 TT 1.0 25 0.00125 0.2091 0.52378 0.52378 0.31689 0.31689 1.6075204444444446 1.8242204444444445 1.6589204444444445 1.6593426666666666 0.091506
76 512 32 4 0 0 TT 1.0 25 0.00125 0.8364 0.52941 0.52941 0.31903 0.31903 1.6075204444444446 1.8242204444444445 1.6589204444444445 1.6593426666666666 0.091506
77 512 32 4 0 0 TT 1.0 25 0.005 0.052275 0.52267 0.52267 0.31698 0.31698 1.6075204444444446 1.8242204444444445 1.6589204444444445 1.6593426666666666 0.091506
78 512 32 4 0 0 TT 1.0 25 0.005 0.2091 0.52425 0.52425 0.31673999999999997 0.31673999999999997 1.6075204444444446 1.8242204444444445 1.6589204444444445 1.6593426666666666 0.091506
79 512 32 4 0 0 TT 1.0 25 0.005 0.8364 0.53028 0.53028 0.31927 0.31927 1.6075204444444446 1.8242204444444445 1.6589204444444445 1.6593426666666666 0.091506
80 512 32 4 0 0 TT 1.0 25 0.04 0.052275 0.52742 0.52742 0.31582 0.31582 1.6075204444444446 1.8242204444444445 1.6589204444444445 1.6593426666666666 0.091506
81 512 32 4 0 0 TT 1.0 25 0.04 0.2091 0.5289699999999999 0.5289699999999999 0.31623 0.31623 1.6075204444444446 1.8242204444444445 1.6589204444444445 1.6593426666666666 0.091506
82 512 32 4 0 0 TT 1.0 25 0.04 0.8364 0.5341899999999999 0.5341899999999999 0.3189 0.3189 1.6075204444444446 1.8242204444444445 1.6589204444444445 1.6593426666666666 0.091506

View File

@ -1,217 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,write0_power
64,3,4,922,FF,1.0,25,0.00125,0.052275,0.5987044444444445
64,3,4,922,FF,1.0,25,0.00125,0.2091,0.5987044444444445
64,3,4,922,FF,1.0,25,0.00125,0.8364,0.5987044444444445
64,3,4,922,FF,1.0,25,0.005,0.052275,0.5987044444444445
64,3,4,922,FF,1.0,25,0.005,0.2091,0.5987044444444445
64,3,4,922,FF,1.0,25,0.005,0.8364,0.5987044444444445
64,3,4,922,FF,1.0,25,0.04,0.052275,0.5987044444444445
64,3,4,922,FF,1.0,25,0.04,0.2091,0.5987044444444445
64,3,4,922,FF,1.0,25,0.04,0.8364,0.5987044444444445
64,3,4,922,SS,1.0,25,0.00125,0.052275,0.44650666666666666
64,3,4,922,SS,1.0,25,0.00125,0.2091,0.44650666666666666
64,3,4,922,SS,1.0,25,0.00125,0.8364,0.44650666666666666
64,3,4,922,SS,1.0,25,0.005,0.052275,0.44650666666666666
64,3,4,922,SS,1.0,25,0.005,0.2091,0.44650666666666666
64,3,4,922,SS,1.0,25,0.005,0.8364,0.44650666666666666
64,3,4,922,SS,1.0,25,0.04,0.052275,0.44650666666666666
64,3,4,922,SS,1.0,25,0.04,0.2091,0.44650666666666666
64,3,4,922,SS,1.0,25,0.04,0.8364,0.44650666666666666
64,3,4,922,TT,1.0,25,0.00125,0.052275,0.5227588888888889
64,3,4,922,TT,1.0,25,0.00125,0.2091,0.5227588888888889
64,3,4,922,TT,1.0,25,0.00125,0.8364,0.5227588888888889
64,3,4,922,TT,1.0,25,0.005,0.052275,0.5227588888888889
64,3,4,922,TT,1.0,25,0.005,0.2091,0.5227588888888889
64,3,4,922,TT,1.0,25,0.005,0.8364,0.5227588888888889
64,3,4,922,TT,1.0,25,0.04,0.052275,0.5227588888888889
64,3,4,922,TT,1.0,25,0.04,0.2091,0.5227588888888889
64,3,4,922,TT,1.0,25,0.04,0.8364,0.5227588888888889
64,2,4,780,FF,1.0,25,0.00125,0.052275,0.5357155555555555
64,2,4,780,FF,1.0,25,0.00125,0.2091,0.5357155555555555
64,2,4,780,FF,1.0,25,0.00125,0.8364,0.5357155555555555
64,2,4,780,FF,1.0,25,0.005,0.052275,0.5357155555555555
64,2,4,780,FF,1.0,25,0.005,0.2091,0.5357155555555555
64,2,4,780,FF,1.0,25,0.005,0.8364,0.5357155555555555
64,2,4,780,FF,1.0,25,0.04,0.052275,0.5357155555555555
64,2,4,780,FF,1.0,25,0.04,0.2091,0.5357155555555555
64,2,4,780,FF,1.0,25,0.04,0.8364,0.5357155555555555
64,2,4,780,SS,1.0,25,0.00125,0.052275,0.40510666666666667
64,2,4,780,SS,1.0,25,0.00125,0.2091,0.40510666666666667
64,2,4,780,SS,1.0,25,0.00125,0.8364,0.40510666666666667
64,2,4,780,SS,1.0,25,0.005,0.052275,0.40510666666666667
64,2,4,780,SS,1.0,25,0.005,0.2091,0.40510666666666667
64,2,4,780,SS,1.0,25,0.005,0.8364,0.40510666666666667
64,2,4,780,SS,1.0,25,0.04,0.052275,0.40510666666666667
64,2,4,780,SS,1.0,25,0.04,0.2091,0.40510666666666667
64,2,4,780,SS,1.0,25,0.04,0.8364,0.40510666666666667
64,2,4,780,TT,1.0,25,0.00125,0.052275,0.46823333333333333
64,2,4,780,TT,1.0,25,0.00125,0.2091,0.46823333333333333
64,2,4,780,TT,1.0,25,0.00125,0.8364,0.46823333333333333
64,2,4,780,TT,1.0,25,0.005,0.052275,0.46823333333333333
64,2,4,780,TT,1.0,25,0.005,0.2091,0.46823333333333333
64,2,4,780,TT,1.0,25,0.005,0.8364,0.46823333333333333
64,2,4,780,TT,1.0,25,0.04,0.052275,0.46823333333333333
64,2,4,780,TT,1.0,25,0.04,0.2091,0.46823333333333333
64,2,4,780,TT,1.0,25,0.04,0.8364,0.46823333333333333
32,1,2,584,FF,1.0,25,0.00125,0.052275,0.4518333333333333
32,1,2,584,FF,1.0,25,0.00125,0.2091,0.4518333333333333
32,1,2,584,FF,1.0,25,0.00125,0.8364,0.4518333333333333
32,1,2,584,FF,1.0,25,0.005,0.052275,0.4518333333333333
32,1,2,584,FF,1.0,25,0.005,0.2091,0.4518333333333333
32,1,2,584,FF,1.0,25,0.005,0.8364,0.4518333333333333
32,1,2,584,FF,1.0,25,0.04,0.052275,0.4518333333333333
32,1,2,584,FF,1.0,25,0.04,0.2091,0.4518333333333333
32,1,2,584,FF,1.0,25,0.04,0.8364,0.4518333333333333
32,1,2,584,SS,1.0,25,0.00125,0.052275,0.33565222222222224
32,1,2,584,SS,1.0,25,0.00125,0.2091,0.33565222222222224
32,1,2,584,SS,1.0,25,0.00125,0.8364,0.33565222222222224
32,1,2,584,SS,1.0,25,0.005,0.052275,0.33565222222222224
32,1,2,584,SS,1.0,25,0.005,0.2091,0.33565222222222224
32,1,2,584,SS,1.0,25,0.005,0.8364,0.33565222222222224
32,1,2,584,SS,1.0,25,0.04,0.052275,0.33565222222222224
32,1,2,584,SS,1.0,25,0.04,0.2091,0.33565222222222224
32,1,2,584,SS,1.0,25,0.04,0.8364,0.33565222222222224
32,1,2,584,TT,1.0,25,0.00125,0.052275,0.37737333333333334
32,1,2,584,TT,1.0,25,0.00125,0.2091,0.37737333333333334
32,1,2,584,TT,1.0,25,0.00125,0.8364,0.37737333333333334
32,1,2,584,TT,1.0,25,0.005,0.052275,0.37737333333333334
32,1,2,584,TT,1.0,25,0.005,0.2091,0.37737333333333334
32,1,2,584,TT,1.0,25,0.005,0.8364,0.37737333333333334
32,1,2,584,TT,1.0,25,0.04,0.052275,0.37737333333333334
32,1,2,584,TT,1.0,25,0.04,0.2091,0.37737333333333334
32,1,2,584,TT,1.0,25,0.04,0.8364,0.37737333333333334
32,2,2,642,FF,1.0,25,0.00125,0.052275,0.48253111111111113
32,2,2,642,FF,1.0,25,0.00125,0.2091,0.48253111111111113
32,2,2,642,FF,1.0,25,0.00125,0.8364,0.48253111111111113
32,2,2,642,FF,1.0,25,0.005,0.052275,0.48253111111111113
32,2,2,642,FF,1.0,25,0.005,0.2091,0.48253111111111113
32,2,2,642,FF,1.0,25,0.005,0.8364,0.48253111111111113
32,2,2,642,FF,1.0,25,0.04,0.052275,0.48253111111111113
32,2,2,642,FF,1.0,25,0.04,0.2091,0.48253111111111113
32,2,2,642,FF,1.0,25,0.04,0.8364,0.48253111111111113
32,2,2,642,SS,1.0,25,0.00125,0.052275,0.3785866666666667
32,2,2,642,SS,1.0,25,0.00125,0.2091,0.3785866666666667
32,2,2,642,SS,1.0,25,0.00125,0.8364,0.3785866666666667
32,2,2,642,SS,1.0,25,0.005,0.052275,0.3785866666666667
32,2,2,642,SS,1.0,25,0.005,0.2091,0.3785866666666667
32,2,2,642,SS,1.0,25,0.005,0.8364,0.3785866666666667
32,2,2,642,SS,1.0,25,0.04,0.052275,0.3785866666666667
32,2,2,642,SS,1.0,25,0.04,0.2091,0.3785866666666667
32,2,2,642,SS,1.0,25,0.04,0.8364,0.3785866666666667
32,2,2,642,TT,1.0,25,0.00125,0.052275,0.42674111111111107
32,2,2,642,TT,1.0,25,0.00125,0.2091,0.42674111111111107
32,2,2,642,TT,1.0,25,0.00125,0.8364,0.42674111111111107
32,2,2,642,TT,1.0,25,0.005,0.052275,0.42674111111111107
32,2,2,642,TT,1.0,25,0.005,0.2091,0.42674111111111107
32,2,2,642,TT,1.0,25,0.005,0.8364,0.42674111111111107
32,2,2,642,TT,1.0,25,0.04,0.052275,0.42674111111111107
32,2,2,642,TT,1.0,25,0.04,0.2091,0.42674111111111107
32,2,2,642,TT,1.0,25,0.04,0.8364,0.42674111111111107
16,2,1,545,FF,1.0,25,0.00125,0.052275,0.4481144444444445
16,2,1,545,FF,1.0,25,0.00125,0.2091,0.4481144444444445
16,2,1,545,FF,1.0,25,0.00125,0.8364,0.4481144444444445
16,2,1,545,FF,1.0,25,0.005,0.052275,0.4481144444444445
16,2,1,545,FF,1.0,25,0.005,0.2091,0.4481144444444445
16,2,1,545,FF,1.0,25,0.005,0.8364,0.4481144444444445
16,2,1,545,FF,1.0,25,0.04,0.052275,0.4481144444444445
16,2,1,545,FF,1.0,25,0.04,0.2091,0.4481144444444445
16,2,1,545,FF,1.0,25,0.04,0.8364,0.4481144444444445
16,2,1,545,SS,1.0,25,0.00125,0.052275,0.3461288888888889
16,2,1,545,SS,1.0,25,0.00125,0.2091,0.3461288888888889
16,2,1,545,SS,1.0,25,0.00125,0.8364,0.3461288888888889
16,2,1,545,SS,1.0,25,0.005,0.052275,0.3461288888888889
16,2,1,545,SS,1.0,25,0.005,0.2091,0.3461288888888889
16,2,1,545,SS,1.0,25,0.005,0.8364,0.3461288888888889
16,2,1,545,SS,1.0,25,0.04,0.052275,0.3461288888888889
16,2,1,545,SS,1.0,25,0.04,0.2091,0.3461288888888889
16,2,1,545,SS,1.0,25,0.04,0.8364,0.3461288888888889
16,2,1,545,TT,1.0,25,0.00125,0.052275,0.39059222222222223
16,2,1,545,TT,1.0,25,0.00125,0.2091,0.39059222222222223
16,2,1,545,TT,1.0,25,0.00125,0.8364,0.39059222222222223
16,2,1,545,TT,1.0,25,0.005,0.052275,0.39059222222222223
16,2,1,545,TT,1.0,25,0.005,0.2091,0.39059222222222223
16,2,1,545,TT,1.0,25,0.005,0.8364,0.39059222222222223
16,2,1,545,TT,1.0,25,0.04,0.052275,0.39059222222222223
16,2,1,545,TT,1.0,25,0.04,0.2091,0.39059222222222223
16,2,1,545,TT,1.0,25,0.04,0.8364,0.39059222222222223
16,3,1,577,FF,1.0,25,0.00125,0.052275,0.4936044444444444
16,3,1,577,FF,1.0,25,0.00125,0.2091,0.4936044444444444
16,3,1,577,FF,1.0,25,0.00125,0.8364,0.4936044444444444
16,3,1,577,FF,1.0,25,0.005,0.052275,0.4936044444444444
16,3,1,577,FF,1.0,25,0.005,0.2091,0.4936044444444444
16,3,1,577,FF,1.0,25,0.005,0.8364,0.4936044444444444
16,3,1,577,FF,1.0,25,0.04,0.052275,0.4936044444444444
16,3,1,577,FF,1.0,25,0.04,0.2091,0.4936044444444444
16,3,1,577,FF,1.0,25,0.04,0.8364,0.4936044444444444
16,3,1,577,SS,1.0,25,0.00125,0.052275,0.36787222222222227
16,3,1,577,SS,1.0,25,0.00125,0.2091,0.36787222222222227
16,3,1,577,SS,1.0,25,0.00125,0.8364,0.36787222222222227
16,3,1,577,SS,1.0,25,0.005,0.052275,0.36787222222222227
16,3,1,577,SS,1.0,25,0.005,0.2091,0.36787222222222227
16,3,1,577,SS,1.0,25,0.005,0.8364,0.36787222222222227
16,3,1,577,SS,1.0,25,0.04,0.052275,0.36787222222222227
16,3,1,577,SS,1.0,25,0.04,0.2091,0.36787222222222227
16,3,1,577,SS,1.0,25,0.04,0.8364,0.36787222222222227
16,3,1,577,TT,1.0,25,0.00125,0.052275,0.4307977777777778
16,3,1,577,TT,1.0,25,0.00125,0.2091,0.4307977777777778
16,3,1,577,TT,1.0,25,0.00125,0.8364,0.4307977777777778
16,3,1,577,TT,1.0,25,0.005,0.052275,0.4307977777777778
16,3,1,577,TT,1.0,25,0.005,0.2091,0.4307977777777778
16,3,1,577,TT,1.0,25,0.005,0.8364,0.4307977777777778
16,3,1,577,TT,1.0,25,0.04,0.052275,0.4307977777777778
16,3,1,577,TT,1.0,25,0.04,0.2091,0.4307977777777778
16,3,1,577,TT,1.0,25,0.04,0.8364,0.4307977777777778
32,3,2,701,FF,1.0,25,0.00125,0.052275,0.5488922222222222
32,3,2,701,FF,1.0,25,0.00125,0.2091,0.5488922222222222
32,3,2,701,FF,1.0,25,0.00125,0.8364,0.5488922222222222
32,3,2,701,FF,1.0,25,0.005,0.052275,0.5488922222222222
32,3,2,701,FF,1.0,25,0.005,0.2091,0.5488922222222222
32,3,2,701,FF,1.0,25,0.005,0.8364,0.5488922222222222
32,3,2,701,FF,1.0,25,0.04,0.052275,0.5488922222222222
32,3,2,701,FF,1.0,25,0.04,0.2091,0.5488922222222222
32,3,2,701,FF,1.0,25,0.04,0.8364,0.5488922222222222
32,3,2,701,SS,1.0,25,0.00125,0.052275,0.41788222222222227
32,3,2,701,SS,1.0,25,0.00125,0.2091,0.41788222222222227
32,3,2,701,SS,1.0,25,0.00125,0.8364,0.41788222222222227
32,3,2,701,SS,1.0,25,0.005,0.052275,0.41788222222222227
32,3,2,701,SS,1.0,25,0.005,0.2091,0.41788222222222227
32,3,2,701,SS,1.0,25,0.005,0.8364,0.41788222222222227
32,3,2,701,SS,1.0,25,0.04,0.052275,0.41788222222222227
32,3,2,701,SS,1.0,25,0.04,0.2091,0.41788222222222227
32,3,2,701,SS,1.0,25,0.04,0.8364,0.41788222222222227
32,3,2,701,TT,1.0,25,0.00125,0.052275,0.4881888888888889
32,3,2,701,TT,1.0,25,0.00125,0.2091,0.4881888888888889
32,3,2,701,TT,1.0,25,0.00125,0.8364,0.4881888888888889
32,3,2,701,TT,1.0,25,0.005,0.052275,0.4881888888888889
32,3,2,701,TT,1.0,25,0.005,0.2091,0.4881888888888889
32,3,2,701,TT,1.0,25,0.005,0.8364,0.4881888888888889
32,3,2,701,TT,1.0,25,0.04,0.052275,0.4881888888888889
32,3,2,701,TT,1.0,25,0.04,0.2091,0.4881888888888889
32,3,2,701,TT,1.0,25,0.04,0.8364,0.4881888888888889
16,1,1,512,FF,1.0,25,0.00125,0.052275,0.40128444444444444
16,1,1,512,FF,1.0,25,0.00125,0.2091,0.40128444444444444
16,1,1,512,FF,1.0,25,0.00125,0.8364,0.40128444444444444
16,1,1,512,FF,1.0,25,0.005,0.052275,0.40128444444444444
16,1,1,512,FF,1.0,25,0.005,0.2091,0.40128444444444444
16,1,1,512,FF,1.0,25,0.005,0.8364,0.40128444444444444
16,1,1,512,FF,1.0,25,0.04,0.052275,0.40128444444444444
16,1,1,512,FF,1.0,25,0.04,0.2091,0.40128444444444444
16,1,1,512,FF,1.0,25,0.04,0.8364,0.40128444444444444
16,1,1,512,SS,1.0,25,0.00125,0.052275,0.3089811111111111
16,1,1,512,SS,1.0,25,0.00125,0.2091,0.3089811111111111
16,1,1,512,SS,1.0,25,0.00125,0.8364,0.3089811111111111
16,1,1,512,SS,1.0,25,0.005,0.052275,0.3089811111111111
16,1,1,512,SS,1.0,25,0.005,0.2091,0.3089811111111111
16,1,1,512,SS,1.0,25,0.005,0.8364,0.3089811111111111
16,1,1,512,SS,1.0,25,0.04,0.052275,0.3089811111111111
16,1,1,512,SS,1.0,25,0.04,0.2091,0.3089811111111111
16,1,1,512,SS,1.0,25,0.04,0.8364,0.3089811111111111
16,1,1,512,TT,1.0,25,0.00125,0.052275,0.3490755555555556
16,1,1,512,TT,1.0,25,0.00125,0.2091,0.3490755555555556
16,1,1,512,TT,1.0,25,0.00125,0.8364,0.3490755555555556
16,1,1,512,TT,1.0,25,0.005,0.052275,0.3490755555555556
16,1,1,512,TT,1.0,25,0.005,0.2091,0.3490755555555556
16,1,1,512,TT,1.0,25,0.005,0.8364,0.3490755555555556
16,1,1,512,TT,1.0,25,0.04,0.052275,0.3490755555555556
16,1,1,512,TT,1.0,25,0.04,0.2091,0.3490755555555556
16,1,1,512,TT,1.0,25,0.04,0.8364,0.3490755555555556
1 num_words word_size words_per_row area process voltage temperature slew load write0_power
2 64 3 4 922 FF 1.0 25 0.00125 0.052275 0.5987044444444445
3 64 3 4 922 FF 1.0 25 0.00125 0.2091 0.5987044444444445
4 64 3 4 922 FF 1.0 25 0.00125 0.8364 0.5987044444444445
5 64 3 4 922 FF 1.0 25 0.005 0.052275 0.5987044444444445
6 64 3 4 922 FF 1.0 25 0.005 0.2091 0.5987044444444445
7 64 3 4 922 FF 1.0 25 0.005 0.8364 0.5987044444444445
8 64 3 4 922 FF 1.0 25 0.04 0.052275 0.5987044444444445
9 64 3 4 922 FF 1.0 25 0.04 0.2091 0.5987044444444445
10 64 3 4 922 FF 1.0 25 0.04 0.8364 0.5987044444444445
11 64 3 4 922 SS 1.0 25 0.00125 0.052275 0.44650666666666666
12 64 3 4 922 SS 1.0 25 0.00125 0.2091 0.44650666666666666
13 64 3 4 922 SS 1.0 25 0.00125 0.8364 0.44650666666666666
14 64 3 4 922 SS 1.0 25 0.005 0.052275 0.44650666666666666
15 64 3 4 922 SS 1.0 25 0.005 0.2091 0.44650666666666666
16 64 3 4 922 SS 1.0 25 0.005 0.8364 0.44650666666666666
17 64 3 4 922 SS 1.0 25 0.04 0.052275 0.44650666666666666
18 64 3 4 922 SS 1.0 25 0.04 0.2091 0.44650666666666666
19 64 3 4 922 SS 1.0 25 0.04 0.8364 0.44650666666666666
20 64 3 4 922 TT 1.0 25 0.00125 0.052275 0.5227588888888889
21 64 3 4 922 TT 1.0 25 0.00125 0.2091 0.5227588888888889
22 64 3 4 922 TT 1.0 25 0.00125 0.8364 0.5227588888888889
23 64 3 4 922 TT 1.0 25 0.005 0.052275 0.5227588888888889
24 64 3 4 922 TT 1.0 25 0.005 0.2091 0.5227588888888889
25 64 3 4 922 TT 1.0 25 0.005 0.8364 0.5227588888888889
26 64 3 4 922 TT 1.0 25 0.04 0.052275 0.5227588888888889
27 64 3 4 922 TT 1.0 25 0.04 0.2091 0.5227588888888889
28 64 3 4 922 TT 1.0 25 0.04 0.8364 0.5227588888888889
29 64 2 4 780 FF 1.0 25 0.00125 0.052275 0.5357155555555555
30 64 2 4 780 FF 1.0 25 0.00125 0.2091 0.5357155555555555
31 64 2 4 780 FF 1.0 25 0.00125 0.8364 0.5357155555555555
32 64 2 4 780 FF 1.0 25 0.005 0.052275 0.5357155555555555
33 64 2 4 780 FF 1.0 25 0.005 0.2091 0.5357155555555555
34 64 2 4 780 FF 1.0 25 0.005 0.8364 0.5357155555555555
35 64 2 4 780 FF 1.0 25 0.04 0.052275 0.5357155555555555
36 64 2 4 780 FF 1.0 25 0.04 0.2091 0.5357155555555555
37 64 2 4 780 FF 1.0 25 0.04 0.8364 0.5357155555555555
38 64 2 4 780 SS 1.0 25 0.00125 0.052275 0.40510666666666667
39 64 2 4 780 SS 1.0 25 0.00125 0.2091 0.40510666666666667
40 64 2 4 780 SS 1.0 25 0.00125 0.8364 0.40510666666666667
41 64 2 4 780 SS 1.0 25 0.005 0.052275 0.40510666666666667
42 64 2 4 780 SS 1.0 25 0.005 0.2091 0.40510666666666667
43 64 2 4 780 SS 1.0 25 0.005 0.8364 0.40510666666666667
44 64 2 4 780 SS 1.0 25 0.04 0.052275 0.40510666666666667
45 64 2 4 780 SS 1.0 25 0.04 0.2091 0.40510666666666667
46 64 2 4 780 SS 1.0 25 0.04 0.8364 0.40510666666666667
47 64 2 4 780 TT 1.0 25 0.00125 0.052275 0.46823333333333333
48 64 2 4 780 TT 1.0 25 0.00125 0.2091 0.46823333333333333
49 64 2 4 780 TT 1.0 25 0.00125 0.8364 0.46823333333333333
50 64 2 4 780 TT 1.0 25 0.005 0.052275 0.46823333333333333
51 64 2 4 780 TT 1.0 25 0.005 0.2091 0.46823333333333333
52 64 2 4 780 TT 1.0 25 0.005 0.8364 0.46823333333333333
53 64 2 4 780 TT 1.0 25 0.04 0.052275 0.46823333333333333
54 64 2 4 780 TT 1.0 25 0.04 0.2091 0.46823333333333333
55 64 2 4 780 TT 1.0 25 0.04 0.8364 0.46823333333333333
56 32 1 2 584 FF 1.0 25 0.00125 0.052275 0.4518333333333333
57 32 1 2 584 FF 1.0 25 0.00125 0.2091 0.4518333333333333
58 32 1 2 584 FF 1.0 25 0.00125 0.8364 0.4518333333333333
59 32 1 2 584 FF 1.0 25 0.005 0.052275 0.4518333333333333
60 32 1 2 584 FF 1.0 25 0.005 0.2091 0.4518333333333333
61 32 1 2 584 FF 1.0 25 0.005 0.8364 0.4518333333333333
62 32 1 2 584 FF 1.0 25 0.04 0.052275 0.4518333333333333
63 32 1 2 584 FF 1.0 25 0.04 0.2091 0.4518333333333333
64 32 1 2 584 FF 1.0 25 0.04 0.8364 0.4518333333333333
65 32 1 2 584 SS 1.0 25 0.00125 0.052275 0.33565222222222224
66 32 1 2 584 SS 1.0 25 0.00125 0.2091 0.33565222222222224
67 32 1 2 584 SS 1.0 25 0.00125 0.8364 0.33565222222222224
68 32 1 2 584 SS 1.0 25 0.005 0.052275 0.33565222222222224
69 32 1 2 584 SS 1.0 25 0.005 0.2091 0.33565222222222224
70 32 1 2 584 SS 1.0 25 0.005 0.8364 0.33565222222222224
71 32 1 2 584 SS 1.0 25 0.04 0.052275 0.33565222222222224
72 32 1 2 584 SS 1.0 25 0.04 0.2091 0.33565222222222224
73 32 1 2 584 SS 1.0 25 0.04 0.8364 0.33565222222222224
74 32 1 2 584 TT 1.0 25 0.00125 0.052275 0.37737333333333334
75 32 1 2 584 TT 1.0 25 0.00125 0.2091 0.37737333333333334
76 32 1 2 584 TT 1.0 25 0.00125 0.8364 0.37737333333333334
77 32 1 2 584 TT 1.0 25 0.005 0.052275 0.37737333333333334
78 32 1 2 584 TT 1.0 25 0.005 0.2091 0.37737333333333334
79 32 1 2 584 TT 1.0 25 0.005 0.8364 0.37737333333333334
80 32 1 2 584 TT 1.0 25 0.04 0.052275 0.37737333333333334
81 32 1 2 584 TT 1.0 25 0.04 0.2091 0.37737333333333334
82 32 1 2 584 TT 1.0 25 0.04 0.8364 0.37737333333333334
83 32 2 2 642 FF 1.0 25 0.00125 0.052275 0.48253111111111113
84 32 2 2 642 FF 1.0 25 0.00125 0.2091 0.48253111111111113
85 32 2 2 642 FF 1.0 25 0.00125 0.8364 0.48253111111111113
86 32 2 2 642 FF 1.0 25 0.005 0.052275 0.48253111111111113
87 32 2 2 642 FF 1.0 25 0.005 0.2091 0.48253111111111113
88 32 2 2 642 FF 1.0 25 0.005 0.8364 0.48253111111111113
89 32 2 2 642 FF 1.0 25 0.04 0.052275 0.48253111111111113
90 32 2 2 642 FF 1.0 25 0.04 0.2091 0.48253111111111113
91 32 2 2 642 FF 1.0 25 0.04 0.8364 0.48253111111111113
92 32 2 2 642 SS 1.0 25 0.00125 0.052275 0.3785866666666667
93 32 2 2 642 SS 1.0 25 0.00125 0.2091 0.3785866666666667
94 32 2 2 642 SS 1.0 25 0.00125 0.8364 0.3785866666666667
95 32 2 2 642 SS 1.0 25 0.005 0.052275 0.3785866666666667
96 32 2 2 642 SS 1.0 25 0.005 0.2091 0.3785866666666667
97 32 2 2 642 SS 1.0 25 0.005 0.8364 0.3785866666666667
98 32 2 2 642 SS 1.0 25 0.04 0.052275 0.3785866666666667
99 32 2 2 642 SS 1.0 25 0.04 0.2091 0.3785866666666667
100 32 2 2 642 SS 1.0 25 0.04 0.8364 0.3785866666666667
101 32 2 2 642 TT 1.0 25 0.00125 0.052275 0.42674111111111107
102 32 2 2 642 TT 1.0 25 0.00125 0.2091 0.42674111111111107
103 32 2 2 642 TT 1.0 25 0.00125 0.8364 0.42674111111111107
104 32 2 2 642 TT 1.0 25 0.005 0.052275 0.42674111111111107
105 32 2 2 642 TT 1.0 25 0.005 0.2091 0.42674111111111107
106 32 2 2 642 TT 1.0 25 0.005 0.8364 0.42674111111111107
107 32 2 2 642 TT 1.0 25 0.04 0.052275 0.42674111111111107
108 32 2 2 642 TT 1.0 25 0.04 0.2091 0.42674111111111107
109 32 2 2 642 TT 1.0 25 0.04 0.8364 0.42674111111111107
110 16 2 1 545 FF 1.0 25 0.00125 0.052275 0.4481144444444445
111 16 2 1 545 FF 1.0 25 0.00125 0.2091 0.4481144444444445
112 16 2 1 545 FF 1.0 25 0.00125 0.8364 0.4481144444444445
113 16 2 1 545 FF 1.0 25 0.005 0.052275 0.4481144444444445
114 16 2 1 545 FF 1.0 25 0.005 0.2091 0.4481144444444445
115 16 2 1 545 FF 1.0 25 0.005 0.8364 0.4481144444444445
116 16 2 1 545 FF 1.0 25 0.04 0.052275 0.4481144444444445
117 16 2 1 545 FF 1.0 25 0.04 0.2091 0.4481144444444445
118 16 2 1 545 FF 1.0 25 0.04 0.8364 0.4481144444444445
119 16 2 1 545 SS 1.0 25 0.00125 0.052275 0.3461288888888889
120 16 2 1 545 SS 1.0 25 0.00125 0.2091 0.3461288888888889
121 16 2 1 545 SS 1.0 25 0.00125 0.8364 0.3461288888888889
122 16 2 1 545 SS 1.0 25 0.005 0.052275 0.3461288888888889
123 16 2 1 545 SS 1.0 25 0.005 0.2091 0.3461288888888889
124 16 2 1 545 SS 1.0 25 0.005 0.8364 0.3461288888888889
125 16 2 1 545 SS 1.0 25 0.04 0.052275 0.3461288888888889
126 16 2 1 545 SS 1.0 25 0.04 0.2091 0.3461288888888889
127 16 2 1 545 SS 1.0 25 0.04 0.8364 0.3461288888888889
128 16 2 1 545 TT 1.0 25 0.00125 0.052275 0.39059222222222223
129 16 2 1 545 TT 1.0 25 0.00125 0.2091 0.39059222222222223
130 16 2 1 545 TT 1.0 25 0.00125 0.8364 0.39059222222222223
131 16 2 1 545 TT 1.0 25 0.005 0.052275 0.39059222222222223
132 16 2 1 545 TT 1.0 25 0.005 0.2091 0.39059222222222223
133 16 2 1 545 TT 1.0 25 0.005 0.8364 0.39059222222222223
134 16 2 1 545 TT 1.0 25 0.04 0.052275 0.39059222222222223
135 16 2 1 545 TT 1.0 25 0.04 0.2091 0.39059222222222223
136 16 2 1 545 TT 1.0 25 0.04 0.8364 0.39059222222222223
137 16 3 1 577 FF 1.0 25 0.00125 0.052275 0.4936044444444444
138 16 3 1 577 FF 1.0 25 0.00125 0.2091 0.4936044444444444
139 16 3 1 577 FF 1.0 25 0.00125 0.8364 0.4936044444444444
140 16 3 1 577 FF 1.0 25 0.005 0.052275 0.4936044444444444
141 16 3 1 577 FF 1.0 25 0.005 0.2091 0.4936044444444444
142 16 3 1 577 FF 1.0 25 0.005 0.8364 0.4936044444444444
143 16 3 1 577 FF 1.0 25 0.04 0.052275 0.4936044444444444
144 16 3 1 577 FF 1.0 25 0.04 0.2091 0.4936044444444444
145 16 3 1 577 FF 1.0 25 0.04 0.8364 0.4936044444444444
146 16 3 1 577 SS 1.0 25 0.00125 0.052275 0.36787222222222227
147 16 3 1 577 SS 1.0 25 0.00125 0.2091 0.36787222222222227
148 16 3 1 577 SS 1.0 25 0.00125 0.8364 0.36787222222222227
149 16 3 1 577 SS 1.0 25 0.005 0.052275 0.36787222222222227
150 16 3 1 577 SS 1.0 25 0.005 0.2091 0.36787222222222227
151 16 3 1 577 SS 1.0 25 0.005 0.8364 0.36787222222222227
152 16 3 1 577 SS 1.0 25 0.04 0.052275 0.36787222222222227
153 16 3 1 577 SS 1.0 25 0.04 0.2091 0.36787222222222227
154 16 3 1 577 SS 1.0 25 0.04 0.8364 0.36787222222222227
155 16 3 1 577 TT 1.0 25 0.00125 0.052275 0.4307977777777778
156 16 3 1 577 TT 1.0 25 0.00125 0.2091 0.4307977777777778
157 16 3 1 577 TT 1.0 25 0.00125 0.8364 0.4307977777777778
158 16 3 1 577 TT 1.0 25 0.005 0.052275 0.4307977777777778
159 16 3 1 577 TT 1.0 25 0.005 0.2091 0.4307977777777778
160 16 3 1 577 TT 1.0 25 0.005 0.8364 0.4307977777777778
161 16 3 1 577 TT 1.0 25 0.04 0.052275 0.4307977777777778
162 16 3 1 577 TT 1.0 25 0.04 0.2091 0.4307977777777778
163 16 3 1 577 TT 1.0 25 0.04 0.8364 0.4307977777777778
164 32 3 2 701 FF 1.0 25 0.00125 0.052275 0.5488922222222222
165 32 3 2 701 FF 1.0 25 0.00125 0.2091 0.5488922222222222
166 32 3 2 701 FF 1.0 25 0.00125 0.8364 0.5488922222222222
167 32 3 2 701 FF 1.0 25 0.005 0.052275 0.5488922222222222
168 32 3 2 701 FF 1.0 25 0.005 0.2091 0.5488922222222222
169 32 3 2 701 FF 1.0 25 0.005 0.8364 0.5488922222222222
170 32 3 2 701 FF 1.0 25 0.04 0.052275 0.5488922222222222
171 32 3 2 701 FF 1.0 25 0.04 0.2091 0.5488922222222222
172 32 3 2 701 FF 1.0 25 0.04 0.8364 0.5488922222222222
173 32 3 2 701 SS 1.0 25 0.00125 0.052275 0.41788222222222227
174 32 3 2 701 SS 1.0 25 0.00125 0.2091 0.41788222222222227
175 32 3 2 701 SS 1.0 25 0.00125 0.8364 0.41788222222222227
176 32 3 2 701 SS 1.0 25 0.005 0.052275 0.41788222222222227
177 32 3 2 701 SS 1.0 25 0.005 0.2091 0.41788222222222227
178 32 3 2 701 SS 1.0 25 0.005 0.8364 0.41788222222222227
179 32 3 2 701 SS 1.0 25 0.04 0.052275 0.41788222222222227
180 32 3 2 701 SS 1.0 25 0.04 0.2091 0.41788222222222227
181 32 3 2 701 SS 1.0 25 0.04 0.8364 0.41788222222222227
182 32 3 2 701 TT 1.0 25 0.00125 0.052275 0.4881888888888889
183 32 3 2 701 TT 1.0 25 0.00125 0.2091 0.4881888888888889
184 32 3 2 701 TT 1.0 25 0.00125 0.8364 0.4881888888888889
185 32 3 2 701 TT 1.0 25 0.005 0.052275 0.4881888888888889
186 32 3 2 701 TT 1.0 25 0.005 0.2091 0.4881888888888889
187 32 3 2 701 TT 1.0 25 0.005 0.8364 0.4881888888888889
188 32 3 2 701 TT 1.0 25 0.04 0.052275 0.4881888888888889
189 32 3 2 701 TT 1.0 25 0.04 0.2091 0.4881888888888889
190 32 3 2 701 TT 1.0 25 0.04 0.8364 0.4881888888888889
191 16 1 1 512 FF 1.0 25 0.00125 0.052275 0.40128444444444444
192 16 1 1 512 FF 1.0 25 0.00125 0.2091 0.40128444444444444
193 16 1 1 512 FF 1.0 25 0.00125 0.8364 0.40128444444444444
194 16 1 1 512 FF 1.0 25 0.005 0.052275 0.40128444444444444
195 16 1 1 512 FF 1.0 25 0.005 0.2091 0.40128444444444444
196 16 1 1 512 FF 1.0 25 0.005 0.8364 0.40128444444444444
197 16 1 1 512 FF 1.0 25 0.04 0.052275 0.40128444444444444
198 16 1 1 512 FF 1.0 25 0.04 0.2091 0.40128444444444444
199 16 1 1 512 FF 1.0 25 0.04 0.8364 0.40128444444444444
200 16 1 1 512 SS 1.0 25 0.00125 0.052275 0.3089811111111111
201 16 1 1 512 SS 1.0 25 0.00125 0.2091 0.3089811111111111
202 16 1 1 512 SS 1.0 25 0.00125 0.8364 0.3089811111111111
203 16 1 1 512 SS 1.0 25 0.005 0.052275 0.3089811111111111
204 16 1 1 512 SS 1.0 25 0.005 0.2091 0.3089811111111111
205 16 1 1 512 SS 1.0 25 0.005 0.8364 0.3089811111111111
206 16 1 1 512 SS 1.0 25 0.04 0.052275 0.3089811111111111
207 16 1 1 512 SS 1.0 25 0.04 0.2091 0.3089811111111111
208 16 1 1 512 SS 1.0 25 0.04 0.8364 0.3089811111111111
209 16 1 1 512 TT 1.0 25 0.00125 0.052275 0.3490755555555556
210 16 1 1 512 TT 1.0 25 0.00125 0.2091 0.3490755555555556
211 16 1 1 512 TT 1.0 25 0.00125 0.8364 0.3490755555555556
212 16 1 1 512 TT 1.0 25 0.005 0.052275 0.3490755555555556
213 16 1 1 512 TT 1.0 25 0.005 0.2091 0.3490755555555556
214 16 1 1 512 TT 1.0 25 0.005 0.8364 0.3490755555555556
215 16 1 1 512 TT 1.0 25 0.04 0.052275 0.3490755555555556
216 16 1 1 512 TT 1.0 25 0.04 0.2091 0.3490755555555556
217 16 1 1 512 TT 1.0 25 0.04 0.8364 0.3490755555555556

View File

@ -1,217 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,write1_power
64,3,4,922,FF,1.0,25,0.00125,0.052275,0.5261355555555556
64,3,4,922,FF,1.0,25,0.00125,0.2091,0.5261355555555556
64,3,4,922,FF,1.0,25,0.00125,0.8364,0.5261355555555556
64,3,4,922,FF,1.0,25,0.005,0.052275,0.5261355555555556
64,3,4,922,FF,1.0,25,0.005,0.2091,0.5261355555555556
64,3,4,922,FF,1.0,25,0.005,0.8364,0.5261355555555556
64,3,4,922,FF,1.0,25,0.04,0.052275,0.5261355555555556
64,3,4,922,FF,1.0,25,0.04,0.2091,0.5261355555555556
64,3,4,922,FF,1.0,25,0.04,0.8364,0.5261355555555556
64,3,4,922,SS,1.0,25,0.00125,0.052275,0.40059666666666666
64,3,4,922,SS,1.0,25,0.00125,0.2091,0.40059666666666666
64,3,4,922,SS,1.0,25,0.00125,0.8364,0.40059666666666666
64,3,4,922,SS,1.0,25,0.005,0.052275,0.40059666666666666
64,3,4,922,SS,1.0,25,0.005,0.2091,0.40059666666666666
64,3,4,922,SS,1.0,25,0.005,0.8364,0.40059666666666666
64,3,4,922,SS,1.0,25,0.04,0.052275,0.40059666666666666
64,3,4,922,SS,1.0,25,0.04,0.2091,0.40059666666666666
64,3,4,922,SS,1.0,25,0.04,0.8364,0.40059666666666666
64,3,4,922,TT,1.0,25,0.00125,0.052275,0.4624466666666667
64,3,4,922,TT,1.0,25,0.00125,0.2091,0.4624466666666667
64,3,4,922,TT,1.0,25,0.00125,0.8364,0.4624466666666667
64,3,4,922,TT,1.0,25,0.005,0.052275,0.4624466666666667
64,3,4,922,TT,1.0,25,0.005,0.2091,0.4624466666666667
64,3,4,922,TT,1.0,25,0.005,0.8364,0.4624466666666667
64,3,4,922,TT,1.0,25,0.04,0.052275,0.4624466666666667
64,3,4,922,TT,1.0,25,0.04,0.2091,0.4624466666666667
64,3,4,922,TT,1.0,25,0.04,0.8364,0.4624466666666667
64,2,4,780,FF,1.0,25,0.00125,0.052275,0.45413222222222216
64,2,4,780,FF,1.0,25,0.00125,0.2091,0.45413222222222216
64,2,4,780,FF,1.0,25,0.00125,0.8364,0.45413222222222216
64,2,4,780,FF,1.0,25,0.005,0.052275,0.45413222222222216
64,2,4,780,FF,1.0,25,0.005,0.2091,0.45413222222222216
64,2,4,780,FF,1.0,25,0.005,0.8364,0.45413222222222216
64,2,4,780,FF,1.0,25,0.04,0.052275,0.45413222222222216
64,2,4,780,FF,1.0,25,0.04,0.2091,0.45413222222222216
64,2,4,780,FF,1.0,25,0.04,0.8364,0.45413222222222216
64,2,4,780,SS,1.0,25,0.00125,0.052275,0.3441577777777778
64,2,4,780,SS,1.0,25,0.00125,0.2091,0.3441577777777778
64,2,4,780,SS,1.0,25,0.00125,0.8364,0.3441577777777778
64,2,4,780,SS,1.0,25,0.005,0.052275,0.3441577777777778
64,2,4,780,SS,1.0,25,0.005,0.2091,0.3441577777777778
64,2,4,780,SS,1.0,25,0.005,0.8364,0.3441577777777778
64,2,4,780,SS,1.0,25,0.04,0.052275,0.3441577777777778
64,2,4,780,SS,1.0,25,0.04,0.2091,0.3441577777777778
64,2,4,780,SS,1.0,25,0.04,0.8364,0.3441577777777778
64,2,4,780,TT,1.0,25,0.00125,0.052275,0.39791999999999994
64,2,4,780,TT,1.0,25,0.00125,0.2091,0.39791999999999994
64,2,4,780,TT,1.0,25,0.00125,0.8364,0.39791999999999994
64,2,4,780,TT,1.0,25,0.005,0.052275,0.39791999999999994
64,2,4,780,TT,1.0,25,0.005,0.2091,0.39791999999999994
64,2,4,780,TT,1.0,25,0.005,0.8364,0.39791999999999994
64,2,4,780,TT,1.0,25,0.04,0.052275,0.39791999999999994
64,2,4,780,TT,1.0,25,0.04,0.2091,0.39791999999999994
64,2,4,780,TT,1.0,25,0.04,0.8364,0.39791999999999994
32,1,2,584,FF,1.0,25,0.00125,0.052275,0.3642022222222222
32,1,2,584,FF,1.0,25,0.00125,0.2091,0.3642022222222222
32,1,2,584,FF,1.0,25,0.00125,0.8364,0.3642022222222222
32,1,2,584,FF,1.0,25,0.005,0.052275,0.3642022222222222
32,1,2,584,FF,1.0,25,0.005,0.2091,0.3642022222222222
32,1,2,584,FF,1.0,25,0.005,0.8364,0.3642022222222222
32,1,2,584,FF,1.0,25,0.04,0.052275,0.3642022222222222
32,1,2,584,FF,1.0,25,0.04,0.2091,0.3642022222222222
32,1,2,584,FF,1.0,25,0.04,0.8364,0.3642022222222222
32,1,2,584,SS,1.0,25,0.00125,0.052275,0.27147333333333334
32,1,2,584,SS,1.0,25,0.00125,0.2091,0.27147333333333334
32,1,2,584,SS,1.0,25,0.00125,0.8364,0.27147333333333334
32,1,2,584,SS,1.0,25,0.005,0.052275,0.27147333333333334
32,1,2,584,SS,1.0,25,0.005,0.2091,0.27147333333333334
32,1,2,584,SS,1.0,25,0.005,0.8364,0.27147333333333334
32,1,2,584,SS,1.0,25,0.04,0.052275,0.27147333333333334
32,1,2,584,SS,1.0,25,0.04,0.2091,0.27147333333333334
32,1,2,584,SS,1.0,25,0.04,0.8364,0.27147333333333334
32,1,2,584,TT,1.0,25,0.00125,0.052275,0.3076588888888889
32,1,2,584,TT,1.0,25,0.00125,0.2091,0.3076588888888889
32,1,2,584,TT,1.0,25,0.00125,0.8364,0.3076588888888889
32,1,2,584,TT,1.0,25,0.005,0.052275,0.3076588888888889
32,1,2,584,TT,1.0,25,0.005,0.2091,0.3076588888888889
32,1,2,584,TT,1.0,25,0.005,0.8364,0.3076588888888889
32,1,2,584,TT,1.0,25,0.04,0.052275,0.3076588888888889
32,1,2,584,TT,1.0,25,0.04,0.2091,0.3076588888888889
32,1,2,584,TT,1.0,25,0.04,0.8364,0.3076588888888889
32,2,2,642,FF,1.0,25,0.00125,0.052275,0.40458444444444447
32,2,2,642,FF,1.0,25,0.00125,0.2091,0.40458444444444447
32,2,2,642,FF,1.0,25,0.00125,0.8364,0.40458444444444447
32,2,2,642,FF,1.0,25,0.005,0.052275,0.40458444444444447
32,2,2,642,FF,1.0,25,0.005,0.2091,0.40458444444444447
32,2,2,642,FF,1.0,25,0.005,0.8364,0.40458444444444447
32,2,2,642,FF,1.0,25,0.04,0.052275,0.40458444444444447
32,2,2,642,FF,1.0,25,0.04,0.2091,0.40458444444444447
32,2,2,642,FF,1.0,25,0.04,0.8364,0.40458444444444447
32,2,2,642,SS,1.0,25,0.00125,0.052275,0.3120677777777778
32,2,2,642,SS,1.0,25,0.00125,0.2091,0.3120677777777778
32,2,2,642,SS,1.0,25,0.00125,0.8364,0.3120677777777778
32,2,2,642,SS,1.0,25,0.005,0.052275,0.3120677777777778
32,2,2,642,SS,1.0,25,0.005,0.2091,0.3120677777777778
32,2,2,642,SS,1.0,25,0.005,0.8364,0.3120677777777778
32,2,2,642,SS,1.0,25,0.04,0.052275,0.3120677777777778
32,2,2,642,SS,1.0,25,0.04,0.2091,0.3120677777777778
32,2,2,642,SS,1.0,25,0.04,0.8364,0.3120677777777778
32,2,2,642,TT,1.0,25,0.00125,0.052275,0.35318999999999995
32,2,2,642,TT,1.0,25,0.00125,0.2091,0.35318999999999995
32,2,2,642,TT,1.0,25,0.00125,0.8364,0.35318999999999995
32,2,2,642,TT,1.0,25,0.005,0.052275,0.35318999999999995
32,2,2,642,TT,1.0,25,0.005,0.2091,0.35318999999999995
32,2,2,642,TT,1.0,25,0.005,0.8364,0.35318999999999995
32,2,2,642,TT,1.0,25,0.04,0.052275,0.35318999999999995
32,2,2,642,TT,1.0,25,0.04,0.2091,0.35318999999999995
32,2,2,642,TT,1.0,25,0.04,0.8364,0.35318999999999995
16,2,1,545,FF,1.0,25,0.00125,0.052275,0.36643111111111115
16,2,1,545,FF,1.0,25,0.00125,0.2091,0.36643111111111115
16,2,1,545,FF,1.0,25,0.00125,0.8364,0.36643111111111115
16,2,1,545,FF,1.0,25,0.005,0.052275,0.36643111111111115
16,2,1,545,FF,1.0,25,0.005,0.2091,0.36643111111111115
16,2,1,545,FF,1.0,25,0.005,0.8364,0.36643111111111115
16,2,1,545,FF,1.0,25,0.04,0.052275,0.36643111111111115
16,2,1,545,FF,1.0,25,0.04,0.2091,0.36643111111111115
16,2,1,545,FF,1.0,25,0.04,0.8364,0.36643111111111115
16,2,1,545,SS,1.0,25,0.00125,0.052275,0.28035333333333334
16,2,1,545,SS,1.0,25,0.00125,0.2091,0.28035333333333334
16,2,1,545,SS,1.0,25,0.00125,0.8364,0.28035333333333334
16,2,1,545,SS,1.0,25,0.005,0.052275,0.28035333333333334
16,2,1,545,SS,1.0,25,0.005,0.2091,0.28035333333333334
16,2,1,545,SS,1.0,25,0.005,0.8364,0.28035333333333334
16,2,1,545,SS,1.0,25,0.04,0.052275,0.28035333333333334
16,2,1,545,SS,1.0,25,0.04,0.2091,0.28035333333333334
16,2,1,545,SS,1.0,25,0.04,0.8364,0.28035333333333334
16,2,1,545,TT,1.0,25,0.00125,0.052275,0.3188844444444444
16,2,1,545,TT,1.0,25,0.00125,0.2091,0.3188844444444444
16,2,1,545,TT,1.0,25,0.00125,0.8364,0.3188844444444444
16,2,1,545,TT,1.0,25,0.005,0.052275,0.3188844444444444
16,2,1,545,TT,1.0,25,0.005,0.2091,0.3188844444444444
16,2,1,545,TT,1.0,25,0.005,0.8364,0.3188844444444444
16,2,1,545,TT,1.0,25,0.04,0.052275,0.3188844444444444
16,2,1,545,TT,1.0,25,0.04,0.2091,0.3188844444444444
16,2,1,545,TT,1.0,25,0.04,0.8364,0.3188844444444444
16,3,1,577,FF,1.0,25,0.00125,0.052275,0.40822222222222215
16,3,1,577,FF,1.0,25,0.00125,0.2091,0.40822222222222215
16,3,1,577,FF,1.0,25,0.00125,0.8364,0.40822222222222215
16,3,1,577,FF,1.0,25,0.005,0.052275,0.40822222222222215
16,3,1,577,FF,1.0,25,0.005,0.2091,0.40822222222222215
16,3,1,577,FF,1.0,25,0.005,0.8364,0.40822222222222215
16,3,1,577,FF,1.0,25,0.04,0.052275,0.40822222222222215
16,3,1,577,FF,1.0,25,0.04,0.2091,0.40822222222222215
16,3,1,577,FF,1.0,25,0.04,0.8364,0.40822222222222215
16,3,1,577,SS,1.0,25,0.00125,0.052275,0.30674111111111113
16,3,1,577,SS,1.0,25,0.00125,0.2091,0.30674111111111113
16,3,1,577,SS,1.0,25,0.00125,0.8364,0.30674111111111113
16,3,1,577,SS,1.0,25,0.005,0.052275,0.30674111111111113
16,3,1,577,SS,1.0,25,0.005,0.2091,0.30674111111111113
16,3,1,577,SS,1.0,25,0.005,0.8364,0.30674111111111113
16,3,1,577,SS,1.0,25,0.04,0.052275,0.30674111111111113
16,3,1,577,SS,1.0,25,0.04,0.2091,0.30674111111111113
16,3,1,577,SS,1.0,25,0.04,0.8364,0.30674111111111113
16,3,1,577,TT,1.0,25,0.00125,0.052275,0.35570999999999997
16,3,1,577,TT,1.0,25,0.00125,0.2091,0.35570999999999997
16,3,1,577,TT,1.0,25,0.00125,0.8364,0.35570999999999997
16,3,1,577,TT,1.0,25,0.005,0.052275,0.35570999999999997
16,3,1,577,TT,1.0,25,0.005,0.2091,0.35570999999999997
16,3,1,577,TT,1.0,25,0.005,0.8364,0.35570999999999997
16,3,1,577,TT,1.0,25,0.04,0.052275,0.35570999999999997
16,3,1,577,TT,1.0,25,0.04,0.2091,0.35570999999999997
16,3,1,577,TT,1.0,25,0.04,0.8364,0.35570999999999997
32,3,2,701,FF,1.0,25,0.00125,0.052275,0.4593966666666667
32,3,2,701,FF,1.0,25,0.00125,0.2091,0.4593966666666667
32,3,2,701,FF,1.0,25,0.00125,0.8364,0.4593966666666667
32,3,2,701,FF,1.0,25,0.005,0.052275,0.4593966666666667
32,3,2,701,FF,1.0,25,0.005,0.2091,0.4593966666666667
32,3,2,701,FF,1.0,25,0.005,0.8364,0.4593966666666667
32,3,2,701,FF,1.0,25,0.04,0.052275,0.4593966666666667
32,3,2,701,FF,1.0,25,0.04,0.2091,0.4593966666666667
32,3,2,701,FF,1.0,25,0.04,0.8364,0.4593966666666667
32,3,2,701,SS,1.0,25,0.00125,0.052275,0.3476077777777778
32,3,2,701,SS,1.0,25,0.00125,0.2091,0.3476077777777778
32,3,2,701,SS,1.0,25,0.00125,0.8364,0.3476077777777778
32,3,2,701,SS,1.0,25,0.005,0.052275,0.3476077777777778
32,3,2,701,SS,1.0,25,0.005,0.2091,0.3476077777777778
32,3,2,701,SS,1.0,25,0.005,0.8364,0.3476077777777778
32,3,2,701,SS,1.0,25,0.04,0.052275,0.3476077777777778
32,3,2,701,SS,1.0,25,0.04,0.2091,0.3476077777777778
32,3,2,701,SS,1.0,25,0.04,0.8364,0.3476077777777778
32,3,2,701,TT,1.0,25,0.00125,0.052275,0.4021511111111111
32,3,2,701,TT,1.0,25,0.00125,0.2091,0.4021511111111111
32,3,2,701,TT,1.0,25,0.00125,0.8364,0.4021511111111111
32,3,2,701,TT,1.0,25,0.005,0.052275,0.4021511111111111
32,3,2,701,TT,1.0,25,0.005,0.2091,0.4021511111111111
32,3,2,701,TT,1.0,25,0.005,0.8364,0.4021511111111111
32,3,2,701,TT,1.0,25,0.04,0.052275,0.4021511111111111
32,3,2,701,TT,1.0,25,0.04,0.2091,0.4021511111111111
32,3,2,701,TT,1.0,25,0.04,0.8364,0.4021511111111111
16,1,1,512,FF,1.0,25,0.00125,0.052275,0.3219666666666667
16,1,1,512,FF,1.0,25,0.00125,0.2091,0.3219666666666667
16,1,1,512,FF,1.0,25,0.00125,0.8364,0.3219666666666667
16,1,1,512,FF,1.0,25,0.005,0.052275,0.3219666666666667
16,1,1,512,FF,1.0,25,0.005,0.2091,0.3219666666666667
16,1,1,512,FF,1.0,25,0.005,0.8364,0.3219666666666667
16,1,1,512,FF,1.0,25,0.04,0.052275,0.3219666666666667
16,1,1,512,FF,1.0,25,0.04,0.2091,0.3219666666666667
16,1,1,512,FF,1.0,25,0.04,0.8364,0.3219666666666667
16,1,1,512,SS,1.0,25,0.00125,0.052275,0.24487
16,1,1,512,SS,1.0,25,0.00125,0.2091,0.24487
16,1,1,512,SS,1.0,25,0.00125,0.8364,0.24487
16,1,1,512,SS,1.0,25,0.005,0.052275,0.24487
16,1,1,512,SS,1.0,25,0.005,0.2091,0.24487
16,1,1,512,SS,1.0,25,0.005,0.8364,0.24487
16,1,1,512,SS,1.0,25,0.04,0.052275,0.24487
16,1,1,512,SS,1.0,25,0.04,0.2091,0.24487
16,1,1,512,SS,1.0,25,0.04,0.8364,0.24487
16,1,1,512,TT,1.0,25,0.00125,0.052275,0.27919111111111117
16,1,1,512,TT,1.0,25,0.00125,0.2091,0.27919111111111117
16,1,1,512,TT,1.0,25,0.00125,0.8364,0.27919111111111117
16,1,1,512,TT,1.0,25,0.005,0.052275,0.27919111111111117
16,1,1,512,TT,1.0,25,0.005,0.2091,0.27919111111111117
16,1,1,512,TT,1.0,25,0.005,0.8364,0.27919111111111117
16,1,1,512,TT,1.0,25,0.04,0.052275,0.27919111111111117
16,1,1,512,TT,1.0,25,0.04,0.2091,0.27919111111111117
16,1,1,512,TT,1.0,25,0.04,0.8364,0.27919111111111117
1 num_words word_size words_per_row area process voltage temperature slew load write1_power
2 64 3 4 922 FF 1.0 25 0.00125 0.052275 0.5261355555555556
3 64 3 4 922 FF 1.0 25 0.00125 0.2091 0.5261355555555556
4 64 3 4 922 FF 1.0 25 0.00125 0.8364 0.5261355555555556
5 64 3 4 922 FF 1.0 25 0.005 0.052275 0.5261355555555556
6 64 3 4 922 FF 1.0 25 0.005 0.2091 0.5261355555555556
7 64 3 4 922 FF 1.0 25 0.005 0.8364 0.5261355555555556
8 64 3 4 922 FF 1.0 25 0.04 0.052275 0.5261355555555556
9 64 3 4 922 FF 1.0 25 0.04 0.2091 0.5261355555555556
10 64 3 4 922 FF 1.0 25 0.04 0.8364 0.5261355555555556
11 64 3 4 922 SS 1.0 25 0.00125 0.052275 0.40059666666666666
12 64 3 4 922 SS 1.0 25 0.00125 0.2091 0.40059666666666666
13 64 3 4 922 SS 1.0 25 0.00125 0.8364 0.40059666666666666
14 64 3 4 922 SS 1.0 25 0.005 0.052275 0.40059666666666666
15 64 3 4 922 SS 1.0 25 0.005 0.2091 0.40059666666666666
16 64 3 4 922 SS 1.0 25 0.005 0.8364 0.40059666666666666
17 64 3 4 922 SS 1.0 25 0.04 0.052275 0.40059666666666666
18 64 3 4 922 SS 1.0 25 0.04 0.2091 0.40059666666666666
19 64 3 4 922 SS 1.0 25 0.04 0.8364 0.40059666666666666
20 64 3 4 922 TT 1.0 25 0.00125 0.052275 0.4624466666666667
21 64 3 4 922 TT 1.0 25 0.00125 0.2091 0.4624466666666667
22 64 3 4 922 TT 1.0 25 0.00125 0.8364 0.4624466666666667
23 64 3 4 922 TT 1.0 25 0.005 0.052275 0.4624466666666667
24 64 3 4 922 TT 1.0 25 0.005 0.2091 0.4624466666666667
25 64 3 4 922 TT 1.0 25 0.005 0.8364 0.4624466666666667
26 64 3 4 922 TT 1.0 25 0.04 0.052275 0.4624466666666667
27 64 3 4 922 TT 1.0 25 0.04 0.2091 0.4624466666666667
28 64 3 4 922 TT 1.0 25 0.04 0.8364 0.4624466666666667
29 64 2 4 780 FF 1.0 25 0.00125 0.052275 0.45413222222222216
30 64 2 4 780 FF 1.0 25 0.00125 0.2091 0.45413222222222216
31 64 2 4 780 FF 1.0 25 0.00125 0.8364 0.45413222222222216
32 64 2 4 780 FF 1.0 25 0.005 0.052275 0.45413222222222216
33 64 2 4 780 FF 1.0 25 0.005 0.2091 0.45413222222222216
34 64 2 4 780 FF 1.0 25 0.005 0.8364 0.45413222222222216
35 64 2 4 780 FF 1.0 25 0.04 0.052275 0.45413222222222216
36 64 2 4 780 FF 1.0 25 0.04 0.2091 0.45413222222222216
37 64 2 4 780 FF 1.0 25 0.04 0.8364 0.45413222222222216
38 64 2 4 780 SS 1.0 25 0.00125 0.052275 0.3441577777777778
39 64 2 4 780 SS 1.0 25 0.00125 0.2091 0.3441577777777778
40 64 2 4 780 SS 1.0 25 0.00125 0.8364 0.3441577777777778
41 64 2 4 780 SS 1.0 25 0.005 0.052275 0.3441577777777778
42 64 2 4 780 SS 1.0 25 0.005 0.2091 0.3441577777777778
43 64 2 4 780 SS 1.0 25 0.005 0.8364 0.3441577777777778
44 64 2 4 780 SS 1.0 25 0.04 0.052275 0.3441577777777778
45 64 2 4 780 SS 1.0 25 0.04 0.2091 0.3441577777777778
46 64 2 4 780 SS 1.0 25 0.04 0.8364 0.3441577777777778
47 64 2 4 780 TT 1.0 25 0.00125 0.052275 0.39791999999999994
48 64 2 4 780 TT 1.0 25 0.00125 0.2091 0.39791999999999994
49 64 2 4 780 TT 1.0 25 0.00125 0.8364 0.39791999999999994
50 64 2 4 780 TT 1.0 25 0.005 0.052275 0.39791999999999994
51 64 2 4 780 TT 1.0 25 0.005 0.2091 0.39791999999999994
52 64 2 4 780 TT 1.0 25 0.005 0.8364 0.39791999999999994
53 64 2 4 780 TT 1.0 25 0.04 0.052275 0.39791999999999994
54 64 2 4 780 TT 1.0 25 0.04 0.2091 0.39791999999999994
55 64 2 4 780 TT 1.0 25 0.04 0.8364 0.39791999999999994
56 32 1 2 584 FF 1.0 25 0.00125 0.052275 0.3642022222222222
57 32 1 2 584 FF 1.0 25 0.00125 0.2091 0.3642022222222222
58 32 1 2 584 FF 1.0 25 0.00125 0.8364 0.3642022222222222
59 32 1 2 584 FF 1.0 25 0.005 0.052275 0.3642022222222222
60 32 1 2 584 FF 1.0 25 0.005 0.2091 0.3642022222222222
61 32 1 2 584 FF 1.0 25 0.005 0.8364 0.3642022222222222
62 32 1 2 584 FF 1.0 25 0.04 0.052275 0.3642022222222222
63 32 1 2 584 FF 1.0 25 0.04 0.2091 0.3642022222222222
64 32 1 2 584 FF 1.0 25 0.04 0.8364 0.3642022222222222
65 32 1 2 584 SS 1.0 25 0.00125 0.052275 0.27147333333333334
66 32 1 2 584 SS 1.0 25 0.00125 0.2091 0.27147333333333334
67 32 1 2 584 SS 1.0 25 0.00125 0.8364 0.27147333333333334
68 32 1 2 584 SS 1.0 25 0.005 0.052275 0.27147333333333334
69 32 1 2 584 SS 1.0 25 0.005 0.2091 0.27147333333333334
70 32 1 2 584 SS 1.0 25 0.005 0.8364 0.27147333333333334
71 32 1 2 584 SS 1.0 25 0.04 0.052275 0.27147333333333334
72 32 1 2 584 SS 1.0 25 0.04 0.2091 0.27147333333333334
73 32 1 2 584 SS 1.0 25 0.04 0.8364 0.27147333333333334
74 32 1 2 584 TT 1.0 25 0.00125 0.052275 0.3076588888888889
75 32 1 2 584 TT 1.0 25 0.00125 0.2091 0.3076588888888889
76 32 1 2 584 TT 1.0 25 0.00125 0.8364 0.3076588888888889
77 32 1 2 584 TT 1.0 25 0.005 0.052275 0.3076588888888889
78 32 1 2 584 TT 1.0 25 0.005 0.2091 0.3076588888888889
79 32 1 2 584 TT 1.0 25 0.005 0.8364 0.3076588888888889
80 32 1 2 584 TT 1.0 25 0.04 0.052275 0.3076588888888889
81 32 1 2 584 TT 1.0 25 0.04 0.2091 0.3076588888888889
82 32 1 2 584 TT 1.0 25 0.04 0.8364 0.3076588888888889
83 32 2 2 642 FF 1.0 25 0.00125 0.052275 0.40458444444444447
84 32 2 2 642 FF 1.0 25 0.00125 0.2091 0.40458444444444447
85 32 2 2 642 FF 1.0 25 0.00125 0.8364 0.40458444444444447
86 32 2 2 642 FF 1.0 25 0.005 0.052275 0.40458444444444447
87 32 2 2 642 FF 1.0 25 0.005 0.2091 0.40458444444444447
88 32 2 2 642 FF 1.0 25 0.005 0.8364 0.40458444444444447
89 32 2 2 642 FF 1.0 25 0.04 0.052275 0.40458444444444447
90 32 2 2 642 FF 1.0 25 0.04 0.2091 0.40458444444444447
91 32 2 2 642 FF 1.0 25 0.04 0.8364 0.40458444444444447
92 32 2 2 642 SS 1.0 25 0.00125 0.052275 0.3120677777777778
93 32 2 2 642 SS 1.0 25 0.00125 0.2091 0.3120677777777778
94 32 2 2 642 SS 1.0 25 0.00125 0.8364 0.3120677777777778
95 32 2 2 642 SS 1.0 25 0.005 0.052275 0.3120677777777778
96 32 2 2 642 SS 1.0 25 0.005 0.2091 0.3120677777777778
97 32 2 2 642 SS 1.0 25 0.005 0.8364 0.3120677777777778
98 32 2 2 642 SS 1.0 25 0.04 0.052275 0.3120677777777778
99 32 2 2 642 SS 1.0 25 0.04 0.2091 0.3120677777777778
100 32 2 2 642 SS 1.0 25 0.04 0.8364 0.3120677777777778
101 32 2 2 642 TT 1.0 25 0.00125 0.052275 0.35318999999999995
102 32 2 2 642 TT 1.0 25 0.00125 0.2091 0.35318999999999995
103 32 2 2 642 TT 1.0 25 0.00125 0.8364 0.35318999999999995
104 32 2 2 642 TT 1.0 25 0.005 0.052275 0.35318999999999995
105 32 2 2 642 TT 1.0 25 0.005 0.2091 0.35318999999999995
106 32 2 2 642 TT 1.0 25 0.005 0.8364 0.35318999999999995
107 32 2 2 642 TT 1.0 25 0.04 0.052275 0.35318999999999995
108 32 2 2 642 TT 1.0 25 0.04 0.2091 0.35318999999999995
109 32 2 2 642 TT 1.0 25 0.04 0.8364 0.35318999999999995
110 16 2 1 545 FF 1.0 25 0.00125 0.052275 0.36643111111111115
111 16 2 1 545 FF 1.0 25 0.00125 0.2091 0.36643111111111115
112 16 2 1 545 FF 1.0 25 0.00125 0.8364 0.36643111111111115
113 16 2 1 545 FF 1.0 25 0.005 0.052275 0.36643111111111115
114 16 2 1 545 FF 1.0 25 0.005 0.2091 0.36643111111111115
115 16 2 1 545 FF 1.0 25 0.005 0.8364 0.36643111111111115
116 16 2 1 545 FF 1.0 25 0.04 0.052275 0.36643111111111115
117 16 2 1 545 FF 1.0 25 0.04 0.2091 0.36643111111111115
118 16 2 1 545 FF 1.0 25 0.04 0.8364 0.36643111111111115
119 16 2 1 545 SS 1.0 25 0.00125 0.052275 0.28035333333333334
120 16 2 1 545 SS 1.0 25 0.00125 0.2091 0.28035333333333334
121 16 2 1 545 SS 1.0 25 0.00125 0.8364 0.28035333333333334
122 16 2 1 545 SS 1.0 25 0.005 0.052275 0.28035333333333334
123 16 2 1 545 SS 1.0 25 0.005 0.2091 0.28035333333333334
124 16 2 1 545 SS 1.0 25 0.005 0.8364 0.28035333333333334
125 16 2 1 545 SS 1.0 25 0.04 0.052275 0.28035333333333334
126 16 2 1 545 SS 1.0 25 0.04 0.2091 0.28035333333333334
127 16 2 1 545 SS 1.0 25 0.04 0.8364 0.28035333333333334
128 16 2 1 545 TT 1.0 25 0.00125 0.052275 0.3188844444444444
129 16 2 1 545 TT 1.0 25 0.00125 0.2091 0.3188844444444444
130 16 2 1 545 TT 1.0 25 0.00125 0.8364 0.3188844444444444
131 16 2 1 545 TT 1.0 25 0.005 0.052275 0.3188844444444444
132 16 2 1 545 TT 1.0 25 0.005 0.2091 0.3188844444444444
133 16 2 1 545 TT 1.0 25 0.005 0.8364 0.3188844444444444
134 16 2 1 545 TT 1.0 25 0.04 0.052275 0.3188844444444444
135 16 2 1 545 TT 1.0 25 0.04 0.2091 0.3188844444444444
136 16 2 1 545 TT 1.0 25 0.04 0.8364 0.3188844444444444
137 16 3 1 577 FF 1.0 25 0.00125 0.052275 0.40822222222222215
138 16 3 1 577 FF 1.0 25 0.00125 0.2091 0.40822222222222215
139 16 3 1 577 FF 1.0 25 0.00125 0.8364 0.40822222222222215
140 16 3 1 577 FF 1.0 25 0.005 0.052275 0.40822222222222215
141 16 3 1 577 FF 1.0 25 0.005 0.2091 0.40822222222222215
142 16 3 1 577 FF 1.0 25 0.005 0.8364 0.40822222222222215
143 16 3 1 577 FF 1.0 25 0.04 0.052275 0.40822222222222215
144 16 3 1 577 FF 1.0 25 0.04 0.2091 0.40822222222222215
145 16 3 1 577 FF 1.0 25 0.04 0.8364 0.40822222222222215
146 16 3 1 577 SS 1.0 25 0.00125 0.052275 0.30674111111111113
147 16 3 1 577 SS 1.0 25 0.00125 0.2091 0.30674111111111113
148 16 3 1 577 SS 1.0 25 0.00125 0.8364 0.30674111111111113
149 16 3 1 577 SS 1.0 25 0.005 0.052275 0.30674111111111113
150 16 3 1 577 SS 1.0 25 0.005 0.2091 0.30674111111111113
151 16 3 1 577 SS 1.0 25 0.005 0.8364 0.30674111111111113
152 16 3 1 577 SS 1.0 25 0.04 0.052275 0.30674111111111113
153 16 3 1 577 SS 1.0 25 0.04 0.2091 0.30674111111111113
154 16 3 1 577 SS 1.0 25 0.04 0.8364 0.30674111111111113
155 16 3 1 577 TT 1.0 25 0.00125 0.052275 0.35570999999999997
156 16 3 1 577 TT 1.0 25 0.00125 0.2091 0.35570999999999997
157 16 3 1 577 TT 1.0 25 0.00125 0.8364 0.35570999999999997
158 16 3 1 577 TT 1.0 25 0.005 0.052275 0.35570999999999997
159 16 3 1 577 TT 1.0 25 0.005 0.2091 0.35570999999999997
160 16 3 1 577 TT 1.0 25 0.005 0.8364 0.35570999999999997
161 16 3 1 577 TT 1.0 25 0.04 0.052275 0.35570999999999997
162 16 3 1 577 TT 1.0 25 0.04 0.2091 0.35570999999999997
163 16 3 1 577 TT 1.0 25 0.04 0.8364 0.35570999999999997
164 32 3 2 701 FF 1.0 25 0.00125 0.052275 0.4593966666666667
165 32 3 2 701 FF 1.0 25 0.00125 0.2091 0.4593966666666667
166 32 3 2 701 FF 1.0 25 0.00125 0.8364 0.4593966666666667
167 32 3 2 701 FF 1.0 25 0.005 0.052275 0.4593966666666667
168 32 3 2 701 FF 1.0 25 0.005 0.2091 0.4593966666666667
169 32 3 2 701 FF 1.0 25 0.005 0.8364 0.4593966666666667
170 32 3 2 701 FF 1.0 25 0.04 0.052275 0.4593966666666667
171 32 3 2 701 FF 1.0 25 0.04 0.2091 0.4593966666666667
172 32 3 2 701 FF 1.0 25 0.04 0.8364 0.4593966666666667
173 32 3 2 701 SS 1.0 25 0.00125 0.052275 0.3476077777777778
174 32 3 2 701 SS 1.0 25 0.00125 0.2091 0.3476077777777778
175 32 3 2 701 SS 1.0 25 0.00125 0.8364 0.3476077777777778
176 32 3 2 701 SS 1.0 25 0.005 0.052275 0.3476077777777778
177 32 3 2 701 SS 1.0 25 0.005 0.2091 0.3476077777777778
178 32 3 2 701 SS 1.0 25 0.005 0.8364 0.3476077777777778
179 32 3 2 701 SS 1.0 25 0.04 0.052275 0.3476077777777778
180 32 3 2 701 SS 1.0 25 0.04 0.2091 0.3476077777777778
181 32 3 2 701 SS 1.0 25 0.04 0.8364 0.3476077777777778
182 32 3 2 701 TT 1.0 25 0.00125 0.052275 0.4021511111111111
183 32 3 2 701 TT 1.0 25 0.00125 0.2091 0.4021511111111111
184 32 3 2 701 TT 1.0 25 0.00125 0.8364 0.4021511111111111
185 32 3 2 701 TT 1.0 25 0.005 0.052275 0.4021511111111111
186 32 3 2 701 TT 1.0 25 0.005 0.2091 0.4021511111111111
187 32 3 2 701 TT 1.0 25 0.005 0.8364 0.4021511111111111
188 32 3 2 701 TT 1.0 25 0.04 0.052275 0.4021511111111111
189 32 3 2 701 TT 1.0 25 0.04 0.2091 0.4021511111111111
190 32 3 2 701 TT 1.0 25 0.04 0.8364 0.4021511111111111
191 16 1 1 512 FF 1.0 25 0.00125 0.052275 0.3219666666666667
192 16 1 1 512 FF 1.0 25 0.00125 0.2091 0.3219666666666667
193 16 1 1 512 FF 1.0 25 0.00125 0.8364 0.3219666666666667
194 16 1 1 512 FF 1.0 25 0.005 0.052275 0.3219666666666667
195 16 1 1 512 FF 1.0 25 0.005 0.2091 0.3219666666666667
196 16 1 1 512 FF 1.0 25 0.005 0.8364 0.3219666666666667
197 16 1 1 512 FF 1.0 25 0.04 0.052275 0.3219666666666667
198 16 1 1 512 FF 1.0 25 0.04 0.2091 0.3219666666666667
199 16 1 1 512 FF 1.0 25 0.04 0.8364 0.3219666666666667
200 16 1 1 512 SS 1.0 25 0.00125 0.052275 0.24487
201 16 1 1 512 SS 1.0 25 0.00125 0.2091 0.24487
202 16 1 1 512 SS 1.0 25 0.00125 0.8364 0.24487
203 16 1 1 512 SS 1.0 25 0.005 0.052275 0.24487
204 16 1 1 512 SS 1.0 25 0.005 0.2091 0.24487
205 16 1 1 512 SS 1.0 25 0.005 0.8364 0.24487
206 16 1 1 512 SS 1.0 25 0.04 0.052275 0.24487
207 16 1 1 512 SS 1.0 25 0.04 0.2091 0.24487
208 16 1 1 512 SS 1.0 25 0.04 0.8364 0.24487
209 16 1 1 512 TT 1.0 25 0.00125 0.052275 0.27919111111111117
210 16 1 1 512 TT 1.0 25 0.00125 0.2091 0.27919111111111117
211 16 1 1 512 TT 1.0 25 0.00125 0.8364 0.27919111111111117
212 16 1 1 512 TT 1.0 25 0.005 0.052275 0.27919111111111117
213 16 1 1 512 TT 1.0 25 0.005 0.2091 0.27919111111111117
214 16 1 1 512 TT 1.0 25 0.005 0.8364 0.27919111111111117
215 16 1 1 512 TT 1.0 25 0.04 0.052275 0.27919111111111117
216 16 1 1 512 TT 1.0 25 0.04 0.2091 0.27919111111111117
217 16 1 1 512 TT 1.0 25 0.04 0.8364 0.27919111111111117

View File

@ -135,6 +135,8 @@ layer["m10"] = (29, 0)
layer["text"] = (239, 0) layer["text"] = (239, 0)
layer["boundary"]= (239, 0) layer["boundary"]= (239, 0)
use_purpose = {}
# Layer names for external PDKs # Layer names for external PDKs
layer_names = {} layer_names = {}
layer_names["active"] = "active" layer_names["active"] = "active"

View File

@ -63,6 +63,7 @@ layer["text"] = (63, 0)
layer["boundary"] = (63, 0) layer["boundary"] = (63, 0)
layer["blockage"] = (83, 0) layer["blockage"] = (83, 0)
use_purpose = {}
################################################### ###################################################
##END GDS Layer Map ##END GDS Layer Map
################################################### ###################################################

View File

@ -1,244 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,fall_delay
16,2,1,46853,FF,5.0,25,0.0125,2.45605,1.4938000000000002
16,2,1,46853,FF,5.0,25,0.0125,9.8242,1.5326
16,2,1,46853,FF,5.0,25,0.0125,39.2968,1.6802000000000001
16,2,1,46853,FF,5.0,25,0.05,2.45605,1.4975
16,2,1,46853,FF,5.0,25,0.05,9.8242,1.5366
16,2,1,46853,FF,5.0,25,0.05,39.2968,1.6841
16,2,1,46853,FF,5.0,25,0.4,2.45605,1.5540000000000003
16,2,1,46853,FF,5.0,25,0.4,9.8242,1.5933000000000002
16,2,1,46853,FF,5.0,25,0.4,39.2968,1.7406
16,2,1,46853,SS,5.0,25,0.0125,2.45605,1.546
16,2,1,46853,SS,5.0,25,0.0125,9.8242,1.5871
16,2,1,46853,SS,5.0,25,0.0125,39.2968,1.7390000000000003
16,2,1,46853,SS,5.0,25,0.05,2.45605,1.5518
16,2,1,46853,SS,5.0,25,0.05,9.8242,1.5922
16,2,1,46853,SS,5.0,25,0.05,39.2968,1.7441
16,2,1,46853,SS,5.0,25,0.4,2.45605,1.6087
16,2,1,46853,SS,5.0,25,0.4,9.8242,1.6503
16,2,1,46853,SS,5.0,25,0.4,39.2968,1.8022
16,2,1,46853,TT,3.6,25,0.0125,2.45605,1.8344000000000003
16,2,1,46853,TT,3.6,25,0.0125,9.8242,1.8822000000000003
16,2,1,46853,TT,3.6,25,0.0125,39.2968,2.0635000000000003
16,2,1,46853,TT,3.6,25,0.05,2.45605,1.8402
16,2,1,46853,TT,3.6,25,0.05,9.8242,1.8872000000000002
16,2,1,46853,TT,3.6,25,0.05,39.2968,2.0700000000000003
16,2,1,46853,TT,3.6,25,0.4,2.45605,1.9033000000000002
16,2,1,46853,TT,3.6,25,0.4,9.8242,1.9512
16,2,1,46853,TT,3.6,25,0.4,39.2968,2.1324
64,2,4,66821,FF,5.0,25,0.0125,2.45605,1.8070000000000002
64,2,4,66821,FF,5.0,25,0.0125,9.8242,1.8492
64,2,4,66821,FF,5.0,25,0.0125,39.2968,2.0125
64,2,4,66821,FF,5.0,25,0.05,2.45605,1.811
64,2,4,66821,FF,5.0,25,0.05,9.8242,1.8535000000000001
64,2,4,66821,FF,5.0,25,0.05,39.2968,2.016
64,2,4,66821,FF,5.0,25,0.4,2.45605,1.8676000000000001
64,2,4,66821,FF,5.0,25,0.4,9.8242,1.9101
64,2,4,66821,FF,5.0,25,0.4,39.2968,2.0732000000000004
64,2,4,66821,SS,5.0,25,0.0125,2.45605,1.8638000000000001
64,2,4,66821,SS,5.0,25,0.0125,9.8242,1.9071000000000002
64,2,4,66821,SS,5.0,25,0.0125,39.2968,2.0763
64,2,4,66821,SS,5.0,25,0.05,2.45605,1.8675
64,2,4,66821,SS,5.0,25,0.05,9.8242,1.9116
64,2,4,66821,SS,5.0,25,0.05,39.2968,2.0798
64,2,4,66821,SS,5.0,25,0.4,2.45605,1.9269
64,2,4,66821,SS,5.0,25,0.4,9.8242,1.9710000000000003
64,2,4,66821,SS,5.0,25,0.4,39.2968,2.1389
64,2,4,66821,TT,3.6,25,0.0125,2.45605,2.2213
64,2,4,66821,TT,3.6,25,0.0125,9.8242,2.2757000000000005
64,2,4,66821,TT,3.6,25,0.0125,39.2968,2.4855
64,2,4,66821,TT,3.6,25,0.05,2.45605,2.2262
64,2,4,66821,TT,3.6,25,0.05,9.8242,2.281
64,2,4,66821,TT,3.6,25,0.05,39.2968,2.4907
64,2,4,66821,TT,3.6,25,0.4,2.45605,2.2909000000000006
64,2,4,66821,TT,3.6,25,0.4,9.8242,2.3447
64,2,4,66821,TT,3.6,25,0.4,39.2968,2.5554
16,1,1,44918,FF,5.0,25,0.0125,2.45605,1.4932
16,1,1,44918,FF,5.0,25,0.0125,9.8242,1.5311000000000001
16,1,1,44918,FF,5.0,25,0.0125,39.2968,1.6784
16,1,1,44918,FF,5.0,25,0.05,2.45605,1.4969000000000001
16,1,1,44918,FF,5.0,25,0.05,9.8242,1.5359
16,1,1,44918,FF,5.0,25,0.05,39.2968,1.6818000000000002
16,1,1,44918,FF,5.0,25,0.4,2.45605,1.5468000000000002
16,1,1,44918,FF,5.0,25,0.4,9.8242,1.5872000000000002
16,1,1,44918,FF,5.0,25,0.4,39.2968,1.732
16,1,1,44918,SS,5.0,25,0.0125,2.45605,1.5465
16,1,1,44918,SS,5.0,25,0.0125,9.8242,1.5855
16,1,1,44918,SS,5.0,25,0.0125,39.2968,1.7358000000000002
16,1,1,44918,SS,5.0,25,0.05,2.45605,1.5502
16,1,1,44918,SS,5.0,25,0.05,9.8242,1.5898000000000003
16,1,1,44918,SS,5.0,25,0.05,39.2968,1.7407
16,1,1,44918,SS,5.0,25,0.4,2.45605,1.6046000000000002
16,1,1,44918,SS,5.0,25,0.4,9.8242,1.6447
16,1,1,44918,SS,5.0,25,0.4,39.2968,1.7955000000000003
16,1,1,44918,TT,3.6,25,0.0125,2.45605,1.8358000000000003
16,1,1,44918,TT,3.6,25,0.0125,9.8242,1.8833
16,1,1,44918,TT,3.6,25,0.0125,39.2968,2.0637
16,1,1,44918,TT,3.6,25,0.05,2.45605,1.8410000000000002
16,1,1,44918,TT,3.6,25,0.05,9.8242,1.8883
16,1,1,44918,TT,3.6,25,0.05,39.2968,2.0690000000000004
16,1,1,44918,TT,3.6,25,0.4,2.45605,1.8998
16,1,1,44918,TT,3.6,25,0.4,9.8242,1.9467000000000003
16,1,1,44918,TT,3.6,25,0.4,39.2968,2.1277
32,3,2,61533,FF,5.0,25,0.0125,2.45605,1.7466
32,3,2,61533,FF,5.0,25,0.0125,9.8242,1.7888000000000002
32,3,2,61533,FF,5.0,25,0.0125,39.2968,1.951
32,3,2,61533,FF,5.0,25,0.05,2.45605,1.7509000000000001
32,3,2,61533,FF,5.0,25,0.05,9.8242,1.7935000000000003
32,3,2,61533,FF,5.0,25,0.05,39.2968,1.9557000000000002
32,3,2,61533,FF,5.0,25,0.4,2.45605,1.8069
32,3,2,61533,FF,5.0,25,0.4,9.8242,1.8495000000000001
32,3,2,61533,FF,5.0,25,0.4,39.2968,2.0117
32,3,2,61533,SS,5.0,25,0.0125,2.45605,1.8027
32,3,2,61533,SS,5.0,25,0.0125,9.8242,1.8469000000000002
32,3,2,61533,SS,5.0,25,0.0125,39.2968,2.0147
32,3,2,61533,SS,5.0,25,0.05,2.45605,1.8072000000000001
32,3,2,61533,SS,5.0,25,0.05,9.8242,1.8516000000000001
32,3,2,61533,SS,5.0,25,0.05,39.2968,2.0192
32,3,2,61533,SS,5.0,25,0.4,2.45605,1.8658
32,3,2,61533,SS,5.0,25,0.4,9.8242,1.9107
32,3,2,61533,SS,5.0,25,0.4,39.2968,2.079
32,3,2,61533,TT,3.6,25,0.0125,2.45605,2.1397
32,3,2,61533,TT,3.6,25,0.0125,9.8242,2.1948
32,3,2,61533,TT,3.6,25,0.0125,39.2968,2.4041000000000006
32,3,2,61533,TT,3.6,25,0.05,2.45605,2.1449
32,3,2,61533,TT,3.6,25,0.05,9.8242,2.1999000000000004
32,3,2,61533,TT,3.6,25,0.05,39.2968,2.4093
32,3,2,61533,TT,3.6,25,0.4,2.45605,2.2086000000000006
32,3,2,61533,TT,3.6,25,0.4,9.8242,2.2639
32,3,2,61533,TT,3.6,25,0.4,39.2968,2.4734000000000003
32,2,2,55960,FF,5.0,25,0.0125,2.45605,1.7161000000000002
32,2,2,55960,FF,5.0,25,0.0125,9.8242,1.7588
32,2,2,55960,FF,5.0,25,0.0125,39.2968,1.9199
32,2,2,55960,FF,5.0,25,0.05,2.45605,1.72
32,2,2,55960,FF,5.0,25,0.05,9.8242,1.7622000000000002
32,2,2,55960,FF,5.0,25,0.05,39.2968,1.9238
32,2,2,55960,FF,5.0,25,0.4,2.45605,1.7759000000000003
32,2,2,55960,FF,5.0,25,0.4,9.8242,1.8184
32,2,2,55960,FF,5.0,25,0.4,39.2968,1.9794
32,2,2,55960,SS,5.0,25,0.0125,2.45605,1.7713000000000003
32,2,2,55960,SS,5.0,25,0.0125,9.8242,1.8156000000000003
32,2,2,55960,SS,5.0,25,0.0125,39.2968,1.9823000000000002
32,2,2,55960,SS,5.0,25,0.05,2.45605,1.7763000000000002
32,2,2,55960,SS,5.0,25,0.05,9.8242,1.8201
32,2,2,55960,SS,5.0,25,0.05,39.2968,1.9870000000000003
32,2,2,55960,SS,5.0,25,0.4,2.45605,1.8341
32,2,2,55960,SS,5.0,25,0.4,9.8242,1.8781000000000003
32,2,2,55960,SS,5.0,25,0.4,39.2968,2.0451
32,2,2,55960,TT,3.6,25,0.0125,2.45605,2.1025
32,2,2,55960,TT,3.6,25,0.0125,9.8242,2.1574
32,2,2,55960,TT,3.6,25,0.0125,39.2968,2.366
32,2,2,55960,TT,3.6,25,0.05,2.45605,2.1063
32,2,2,55960,TT,3.6,25,0.05,9.8242,2.1612
32,2,2,55960,TT,3.6,25,0.05,39.2968,2.3698
32,2,2,55960,TT,3.6,25,0.4,2.45605,2.1703
32,2,2,55960,TT,3.6,25,0.4,9.8242,2.2248000000000006
32,2,2,55960,TT,3.6,25,0.4,39.2968,2.4334
16,3,1,49288,FF,5.0,25,0.0125,2.45605,1.5062
16,3,1,49288,FF,5.0,25,0.0125,9.8242,1.5456
16,3,1,49288,FF,5.0,25,0.0125,39.2968,1.6936
16,3,1,49288,FF,5.0,25,0.05,2.45605,1.5117
16,3,1,49288,FF,5.0,25,0.05,9.8242,1.5506
16,3,1,49288,FF,5.0,25,0.05,39.2968,1.6983
16,3,1,49288,FF,5.0,25,0.4,2.45605,1.5674
16,3,1,49288,FF,5.0,25,0.4,9.8242,1.6067
16,3,1,49288,FF,5.0,25,0.4,39.2968,1.7538
16,3,1,49288,SS,5.0,25,0.0125,2.45605,1.5613
16,3,1,49288,SS,5.0,25,0.0125,9.8242,1.6019000000000003
16,3,1,49288,SS,5.0,25,0.0125,39.2968,1.7544
16,3,1,49288,SS,5.0,25,0.05,2.45605,1.5662000000000003
16,3,1,49288,SS,5.0,25,0.05,9.8242,1.6061000000000003
16,3,1,49288,SS,5.0,25,0.05,39.2968,1.7587000000000002
16,3,1,49288,SS,5.0,25,0.4,2.45605,1.6242000000000003
16,3,1,49288,SS,5.0,25,0.4,9.8242,1.6645
16,3,1,49288,SS,5.0,25,0.4,39.2968,1.817
16,3,1,49288,TT,3.6,25,0.0125,2.45605,1.8522000000000003
16,3,1,49288,TT,3.6,25,0.0125,9.8242,1.9004
16,3,1,49288,TT,3.6,25,0.0125,39.2968,2.0833
16,3,1,49288,TT,3.6,25,0.05,2.45605,1.8586000000000003
16,3,1,49288,TT,3.6,25,0.05,9.8242,1.9065000000000003
16,3,1,49288,TT,3.6,25,0.05,39.2968,2.0888
16,3,1,49288,TT,3.6,25,0.4,2.45605,1.9209000000000003
16,3,1,49288,TT,3.6,25,0.4,9.8242,1.9689
16,3,1,49288,TT,3.6,25,0.4,39.2968,2.1510000000000002
64,1,4,56307,FF,5.0,25,0.0125,2.45605,1.7980000000000003
64,1,4,56307,FF,5.0,25,0.0125,9.8242,1.8410000000000002
64,1,4,56307,FF,5.0,25,0.0125,39.2968,2.0055
64,1,4,56307,FF,5.0,25,0.05,2.45605,1.8018
64,1,4,56307,FF,5.0,25,0.05,9.8242,1.8449000000000002
64,1,4,56307,FF,5.0,25,0.05,39.2968,2.0094000000000003
64,1,4,56307,FF,5.0,25,0.4,2.45605,1.8579
64,1,4,56307,FF,5.0,25,0.4,9.8242,1.9013
64,1,4,56307,FF,5.0,25,0.4,39.2968,2.0651
64,1,4,56307,SS,5.0,25,0.0125,2.45605,1.8547000000000002
64,1,4,56307,SS,5.0,25,0.0125,9.8242,1.8986
64,1,4,56307,SS,5.0,25,0.0125,39.2968,2.0683
64,1,4,56307,SS,5.0,25,0.05,2.45605,1.8586000000000003
64,1,4,56307,SS,5.0,25,0.05,9.8242,1.9023000000000003
64,1,4,56307,SS,5.0,25,0.05,39.2968,2.0722000000000005
64,1,4,56307,SS,5.0,25,0.4,2.45605,1.9177000000000002
64,1,4,56307,SS,5.0,25,0.4,9.8242,1.9612000000000003
64,1,4,56307,SS,5.0,25,0.4,39.2968,2.1309
64,1,4,56307,TT,3.6,25,0.0125,2.45605,2.2058
64,1,4,56307,TT,3.6,25,0.0125,9.8242,2.2605000000000004
64,1,4,56307,TT,3.6,25,0.0125,39.2968,2.4711
64,1,4,56307,TT,3.6,25,0.05,2.45605,2.2114000000000003
64,1,4,56307,TT,3.6,25,0.05,9.8242,2.2665
64,1,4,56307,TT,3.6,25,0.05,39.2968,2.4763
64,1,4,56307,TT,3.6,25,0.4,2.45605,2.275
64,1,4,56307,TT,3.6,25,0.4,9.8242,2.3298000000000005
64,1,4,56307,TT,3.6,25,0.4,39.2968,2.5404
32,1,2,50620,FF,5.0,25,0.0125,2.45605,1.6865
32,1,2,50620,FF,5.0,25,0.0125,9.8242,1.7291
32,1,2,50620,FF,5.0,25,0.0125,39.2968,1.8895000000000002
32,1,2,50620,FF,5.0,25,0.05,2.45605,1.6914000000000002
32,1,2,50620,FF,5.0,25,0.05,9.8242,1.7333000000000003
32,1,2,50620,FF,5.0,25,0.05,39.2968,1.8939
32,1,2,50620,FF,5.0,25,0.4,2.45605,1.7472
32,1,2,50620,FF,5.0,25,0.4,9.8242,1.7880000000000003
32,1,2,50620,FF,5.0,25,0.4,39.2968,1.9504000000000001
32,1,2,50620,SS,5.0,25,0.0125,2.45605,1.7409000000000001
32,1,2,50620,SS,5.0,25,0.0125,9.8242,1.7842
32,1,2,50620,SS,5.0,25,0.0125,39.2968,1.9504000000000001
32,1,2,50620,SS,5.0,25,0.05,2.45605,1.7450000000000003
32,1,2,50620,SS,5.0,25,0.05,9.8242,1.7885000000000002
32,1,2,50620,SS,5.0,25,0.05,39.2968,1.9549000000000003
32,1,2,50620,SS,5.0,25,0.4,2.45605,1.8043
32,1,2,50620,SS,5.0,25,0.4,9.8242,1.8470000000000002
32,1,2,50620,SS,5.0,25,0.4,39.2968,2.0142
32,1,2,50620,TT,3.6,25,0.0125,2.45605,2.0660000000000003
32,1,2,50620,TT,3.6,25,0.0125,9.8242,2.1195
32,1,2,50620,TT,3.6,25,0.0125,39.2968,2.3282
32,1,2,50620,TT,3.6,25,0.05,2.45605,2.0698
32,1,2,50620,TT,3.6,25,0.05,9.8242,2.1242
32,1,2,50620,TT,3.6,25,0.05,39.2968,2.3331
32,1,2,50620,TT,3.6,25,0.4,2.45605,2.1344
32,1,2,50620,TT,3.6,25,0.4,9.8242,2.1888
32,1,2,50620,TT,3.6,25,0.4,39.2968,2.3966000000000003
16,4,1,51796,FF,5.0,25,0.0125,2.45605,1.5255
16,4,1,51796,FF,5.0,25,0.0125,9.8242,1.5651000000000002
16,4,1,51796,FF,5.0,25,0.0125,39.2968,1.7136000000000002
16,4,1,51796,FF,5.0,25,0.05,2.45605,1.5287000000000002
16,4,1,51796,FF,5.0,25,0.05,9.8242,1.5694
16,4,1,51796,FF,5.0,25,0.05,39.2968,1.7179
16,4,1,51796,FF,5.0,25,0.4,2.45605,1.5851
16,4,1,51796,FF,5.0,25,0.4,9.8242,1.6246000000000003
16,4,1,51796,FF,5.0,25,0.4,39.2968,1.7731
16,4,1,51796,SS,5.0,25,0.0125,2.45605,1.5803000000000003
16,4,1,51796,SS,5.0,25,0.0125,9.8242,1.6209
16,4,1,51796,SS,5.0,25,0.0125,39.2968,1.7744
16,4,1,51796,SS,5.0,25,0.05,2.45605,1.5839
16,4,1,51796,SS,5.0,25,0.05,9.8242,1.6246000000000003
16,4,1,51796,SS,5.0,25,0.05,39.2968,1.7778000000000003
16,4,1,51796,SS,5.0,25,0.4,2.45605,1.6416
16,4,1,51796,SS,5.0,25,0.4,9.8242,1.6837000000000002
16,4,1,51796,SS,5.0,25,0.4,39.2968,1.8361
16,4,1,51796,TT,5.0,25,0.0125,2.45605,1.5574000000000001
16,4,1,51796,TT,5.0,25,0.0125,9.8242,1.5984000000000003
16,4,1,51796,TT,5.0,25,0.0125,39.2968,1.7492
16,4,1,51796,TT,5.0,25,0.05,2.45605,1.5622
16,4,1,51796,TT,5.0,25,0.05,9.8242,1.6025000000000003
16,4,1,51796,TT,5.0,25,0.05,39.2968,1.7526000000000002
16,4,1,51796,TT,5.0,25,0.4,2.45605,1.618
16,4,1,51796,TT,5.0,25,0.4,9.8242,1.6577
16,4,1,51796,TT,5.0,25,0.4,39.2968,1.8096000000000003
1 num_words word_size words_per_row area process voltage temperature slew load fall_delay
2 16 2 1 46853 FF 5.0 25 0.0125 2.45605 1.4938000000000002
3 16 2 1 46853 FF 5.0 25 0.0125 9.8242 1.5326
4 16 2 1 46853 FF 5.0 25 0.0125 39.2968 1.6802000000000001
5 16 2 1 46853 FF 5.0 25 0.05 2.45605 1.4975
6 16 2 1 46853 FF 5.0 25 0.05 9.8242 1.5366
7 16 2 1 46853 FF 5.0 25 0.05 39.2968 1.6841
8 16 2 1 46853 FF 5.0 25 0.4 2.45605 1.5540000000000003
9 16 2 1 46853 FF 5.0 25 0.4 9.8242 1.5933000000000002
10 16 2 1 46853 FF 5.0 25 0.4 39.2968 1.7406
11 16 2 1 46853 SS 5.0 25 0.0125 2.45605 1.546
12 16 2 1 46853 SS 5.0 25 0.0125 9.8242 1.5871
13 16 2 1 46853 SS 5.0 25 0.0125 39.2968 1.7390000000000003
14 16 2 1 46853 SS 5.0 25 0.05 2.45605 1.5518
15 16 2 1 46853 SS 5.0 25 0.05 9.8242 1.5922
16 16 2 1 46853 SS 5.0 25 0.05 39.2968 1.7441
17 16 2 1 46853 SS 5.0 25 0.4 2.45605 1.6087
18 16 2 1 46853 SS 5.0 25 0.4 9.8242 1.6503
19 16 2 1 46853 SS 5.0 25 0.4 39.2968 1.8022
20 16 2 1 46853 TT 3.6 25 0.0125 2.45605 1.8344000000000003
21 16 2 1 46853 TT 3.6 25 0.0125 9.8242 1.8822000000000003
22 16 2 1 46853 TT 3.6 25 0.0125 39.2968 2.0635000000000003
23 16 2 1 46853 TT 3.6 25 0.05 2.45605 1.8402
24 16 2 1 46853 TT 3.6 25 0.05 9.8242 1.8872000000000002
25 16 2 1 46853 TT 3.6 25 0.05 39.2968 2.0700000000000003
26 16 2 1 46853 TT 3.6 25 0.4 2.45605 1.9033000000000002
27 16 2 1 46853 TT 3.6 25 0.4 9.8242 1.9512
28 16 2 1 46853 TT 3.6 25 0.4 39.2968 2.1324
29 64 2 4 66821 FF 5.0 25 0.0125 2.45605 1.8070000000000002
30 64 2 4 66821 FF 5.0 25 0.0125 9.8242 1.8492
31 64 2 4 66821 FF 5.0 25 0.0125 39.2968 2.0125
32 64 2 4 66821 FF 5.0 25 0.05 2.45605 1.811
33 64 2 4 66821 FF 5.0 25 0.05 9.8242 1.8535000000000001
34 64 2 4 66821 FF 5.0 25 0.05 39.2968 2.016
35 64 2 4 66821 FF 5.0 25 0.4 2.45605 1.8676000000000001
36 64 2 4 66821 FF 5.0 25 0.4 9.8242 1.9101
37 64 2 4 66821 FF 5.0 25 0.4 39.2968 2.0732000000000004
38 64 2 4 66821 SS 5.0 25 0.0125 2.45605 1.8638000000000001
39 64 2 4 66821 SS 5.0 25 0.0125 9.8242 1.9071000000000002
40 64 2 4 66821 SS 5.0 25 0.0125 39.2968 2.0763
41 64 2 4 66821 SS 5.0 25 0.05 2.45605 1.8675
42 64 2 4 66821 SS 5.0 25 0.05 9.8242 1.9116
43 64 2 4 66821 SS 5.0 25 0.05 39.2968 2.0798
44 64 2 4 66821 SS 5.0 25 0.4 2.45605 1.9269
45 64 2 4 66821 SS 5.0 25 0.4 9.8242 1.9710000000000003
46 64 2 4 66821 SS 5.0 25 0.4 39.2968 2.1389
47 64 2 4 66821 TT 3.6 25 0.0125 2.45605 2.2213
48 64 2 4 66821 TT 3.6 25 0.0125 9.8242 2.2757000000000005
49 64 2 4 66821 TT 3.6 25 0.0125 39.2968 2.4855
50 64 2 4 66821 TT 3.6 25 0.05 2.45605 2.2262
51 64 2 4 66821 TT 3.6 25 0.05 9.8242 2.281
52 64 2 4 66821 TT 3.6 25 0.05 39.2968 2.4907
53 64 2 4 66821 TT 3.6 25 0.4 2.45605 2.2909000000000006
54 64 2 4 66821 TT 3.6 25 0.4 9.8242 2.3447
55 64 2 4 66821 TT 3.6 25 0.4 39.2968 2.5554
56 16 1 1 44918 FF 5.0 25 0.0125 2.45605 1.4932
57 16 1 1 44918 FF 5.0 25 0.0125 9.8242 1.5311000000000001
58 16 1 1 44918 FF 5.0 25 0.0125 39.2968 1.6784
59 16 1 1 44918 FF 5.0 25 0.05 2.45605 1.4969000000000001
60 16 1 1 44918 FF 5.0 25 0.05 9.8242 1.5359
61 16 1 1 44918 FF 5.0 25 0.05 39.2968 1.6818000000000002
62 16 1 1 44918 FF 5.0 25 0.4 2.45605 1.5468000000000002
63 16 1 1 44918 FF 5.0 25 0.4 9.8242 1.5872000000000002
64 16 1 1 44918 FF 5.0 25 0.4 39.2968 1.732
65 16 1 1 44918 SS 5.0 25 0.0125 2.45605 1.5465
66 16 1 1 44918 SS 5.0 25 0.0125 9.8242 1.5855
67 16 1 1 44918 SS 5.0 25 0.0125 39.2968 1.7358000000000002
68 16 1 1 44918 SS 5.0 25 0.05 2.45605 1.5502
69 16 1 1 44918 SS 5.0 25 0.05 9.8242 1.5898000000000003
70 16 1 1 44918 SS 5.0 25 0.05 39.2968 1.7407
71 16 1 1 44918 SS 5.0 25 0.4 2.45605 1.6046000000000002
72 16 1 1 44918 SS 5.0 25 0.4 9.8242 1.6447
73 16 1 1 44918 SS 5.0 25 0.4 39.2968 1.7955000000000003
74 16 1 1 44918 TT 3.6 25 0.0125 2.45605 1.8358000000000003
75 16 1 1 44918 TT 3.6 25 0.0125 9.8242 1.8833
76 16 1 1 44918 TT 3.6 25 0.0125 39.2968 2.0637
77 16 1 1 44918 TT 3.6 25 0.05 2.45605 1.8410000000000002
78 16 1 1 44918 TT 3.6 25 0.05 9.8242 1.8883
79 16 1 1 44918 TT 3.6 25 0.05 39.2968 2.0690000000000004
80 16 1 1 44918 TT 3.6 25 0.4 2.45605 1.8998
81 16 1 1 44918 TT 3.6 25 0.4 9.8242 1.9467000000000003
82 16 1 1 44918 TT 3.6 25 0.4 39.2968 2.1277
83 32 3 2 61533 FF 5.0 25 0.0125 2.45605 1.7466
84 32 3 2 61533 FF 5.0 25 0.0125 9.8242 1.7888000000000002
85 32 3 2 61533 FF 5.0 25 0.0125 39.2968 1.951
86 32 3 2 61533 FF 5.0 25 0.05 2.45605 1.7509000000000001
87 32 3 2 61533 FF 5.0 25 0.05 9.8242 1.7935000000000003
88 32 3 2 61533 FF 5.0 25 0.05 39.2968 1.9557000000000002
89 32 3 2 61533 FF 5.0 25 0.4 2.45605 1.8069
90 32 3 2 61533 FF 5.0 25 0.4 9.8242 1.8495000000000001
91 32 3 2 61533 FF 5.0 25 0.4 39.2968 2.0117
92 32 3 2 61533 SS 5.0 25 0.0125 2.45605 1.8027
93 32 3 2 61533 SS 5.0 25 0.0125 9.8242 1.8469000000000002
94 32 3 2 61533 SS 5.0 25 0.0125 39.2968 2.0147
95 32 3 2 61533 SS 5.0 25 0.05 2.45605 1.8072000000000001
96 32 3 2 61533 SS 5.0 25 0.05 9.8242 1.8516000000000001
97 32 3 2 61533 SS 5.0 25 0.05 39.2968 2.0192
98 32 3 2 61533 SS 5.0 25 0.4 2.45605 1.8658
99 32 3 2 61533 SS 5.0 25 0.4 9.8242 1.9107
100 32 3 2 61533 SS 5.0 25 0.4 39.2968 2.079
101 32 3 2 61533 TT 3.6 25 0.0125 2.45605 2.1397
102 32 3 2 61533 TT 3.6 25 0.0125 9.8242 2.1948
103 32 3 2 61533 TT 3.6 25 0.0125 39.2968 2.4041000000000006
104 32 3 2 61533 TT 3.6 25 0.05 2.45605 2.1449
105 32 3 2 61533 TT 3.6 25 0.05 9.8242 2.1999000000000004
106 32 3 2 61533 TT 3.6 25 0.05 39.2968 2.4093
107 32 3 2 61533 TT 3.6 25 0.4 2.45605 2.2086000000000006
108 32 3 2 61533 TT 3.6 25 0.4 9.8242 2.2639
109 32 3 2 61533 TT 3.6 25 0.4 39.2968 2.4734000000000003
110 32 2 2 55960 FF 5.0 25 0.0125 2.45605 1.7161000000000002
111 32 2 2 55960 FF 5.0 25 0.0125 9.8242 1.7588
112 32 2 2 55960 FF 5.0 25 0.0125 39.2968 1.9199
113 32 2 2 55960 FF 5.0 25 0.05 2.45605 1.72
114 32 2 2 55960 FF 5.0 25 0.05 9.8242 1.7622000000000002
115 32 2 2 55960 FF 5.0 25 0.05 39.2968 1.9238
116 32 2 2 55960 FF 5.0 25 0.4 2.45605 1.7759000000000003
117 32 2 2 55960 FF 5.0 25 0.4 9.8242 1.8184
118 32 2 2 55960 FF 5.0 25 0.4 39.2968 1.9794
119 32 2 2 55960 SS 5.0 25 0.0125 2.45605 1.7713000000000003
120 32 2 2 55960 SS 5.0 25 0.0125 9.8242 1.8156000000000003
121 32 2 2 55960 SS 5.0 25 0.0125 39.2968 1.9823000000000002
122 32 2 2 55960 SS 5.0 25 0.05 2.45605 1.7763000000000002
123 32 2 2 55960 SS 5.0 25 0.05 9.8242 1.8201
124 32 2 2 55960 SS 5.0 25 0.05 39.2968 1.9870000000000003
125 32 2 2 55960 SS 5.0 25 0.4 2.45605 1.8341
126 32 2 2 55960 SS 5.0 25 0.4 9.8242 1.8781000000000003
127 32 2 2 55960 SS 5.0 25 0.4 39.2968 2.0451
128 32 2 2 55960 TT 3.6 25 0.0125 2.45605 2.1025
129 32 2 2 55960 TT 3.6 25 0.0125 9.8242 2.1574
130 32 2 2 55960 TT 3.6 25 0.0125 39.2968 2.366
131 32 2 2 55960 TT 3.6 25 0.05 2.45605 2.1063
132 32 2 2 55960 TT 3.6 25 0.05 9.8242 2.1612
133 32 2 2 55960 TT 3.6 25 0.05 39.2968 2.3698
134 32 2 2 55960 TT 3.6 25 0.4 2.45605 2.1703
135 32 2 2 55960 TT 3.6 25 0.4 9.8242 2.2248000000000006
136 32 2 2 55960 TT 3.6 25 0.4 39.2968 2.4334
137 16 3 1 49288 FF 5.0 25 0.0125 2.45605 1.5062
138 16 3 1 49288 FF 5.0 25 0.0125 9.8242 1.5456
139 16 3 1 49288 FF 5.0 25 0.0125 39.2968 1.6936
140 16 3 1 49288 FF 5.0 25 0.05 2.45605 1.5117
141 16 3 1 49288 FF 5.0 25 0.05 9.8242 1.5506
142 16 3 1 49288 FF 5.0 25 0.05 39.2968 1.6983
143 16 3 1 49288 FF 5.0 25 0.4 2.45605 1.5674
144 16 3 1 49288 FF 5.0 25 0.4 9.8242 1.6067
145 16 3 1 49288 FF 5.0 25 0.4 39.2968 1.7538
146 16 3 1 49288 SS 5.0 25 0.0125 2.45605 1.5613
147 16 3 1 49288 SS 5.0 25 0.0125 9.8242 1.6019000000000003
148 16 3 1 49288 SS 5.0 25 0.0125 39.2968 1.7544
149 16 3 1 49288 SS 5.0 25 0.05 2.45605 1.5662000000000003
150 16 3 1 49288 SS 5.0 25 0.05 9.8242 1.6061000000000003
151 16 3 1 49288 SS 5.0 25 0.05 39.2968 1.7587000000000002
152 16 3 1 49288 SS 5.0 25 0.4 2.45605 1.6242000000000003
153 16 3 1 49288 SS 5.0 25 0.4 9.8242 1.6645
154 16 3 1 49288 SS 5.0 25 0.4 39.2968 1.817
155 16 3 1 49288 TT 3.6 25 0.0125 2.45605 1.8522000000000003
156 16 3 1 49288 TT 3.6 25 0.0125 9.8242 1.9004
157 16 3 1 49288 TT 3.6 25 0.0125 39.2968 2.0833
158 16 3 1 49288 TT 3.6 25 0.05 2.45605 1.8586000000000003
159 16 3 1 49288 TT 3.6 25 0.05 9.8242 1.9065000000000003
160 16 3 1 49288 TT 3.6 25 0.05 39.2968 2.0888
161 16 3 1 49288 TT 3.6 25 0.4 2.45605 1.9209000000000003
162 16 3 1 49288 TT 3.6 25 0.4 9.8242 1.9689
163 16 3 1 49288 TT 3.6 25 0.4 39.2968 2.1510000000000002
164 64 1 4 56307 FF 5.0 25 0.0125 2.45605 1.7980000000000003
165 64 1 4 56307 FF 5.0 25 0.0125 9.8242 1.8410000000000002
166 64 1 4 56307 FF 5.0 25 0.0125 39.2968 2.0055
167 64 1 4 56307 FF 5.0 25 0.05 2.45605 1.8018
168 64 1 4 56307 FF 5.0 25 0.05 9.8242 1.8449000000000002
169 64 1 4 56307 FF 5.0 25 0.05 39.2968 2.0094000000000003
170 64 1 4 56307 FF 5.0 25 0.4 2.45605 1.8579
171 64 1 4 56307 FF 5.0 25 0.4 9.8242 1.9013
172 64 1 4 56307 FF 5.0 25 0.4 39.2968 2.0651
173 64 1 4 56307 SS 5.0 25 0.0125 2.45605 1.8547000000000002
174 64 1 4 56307 SS 5.0 25 0.0125 9.8242 1.8986
175 64 1 4 56307 SS 5.0 25 0.0125 39.2968 2.0683
176 64 1 4 56307 SS 5.0 25 0.05 2.45605 1.8586000000000003
177 64 1 4 56307 SS 5.0 25 0.05 9.8242 1.9023000000000003
178 64 1 4 56307 SS 5.0 25 0.05 39.2968 2.0722000000000005
179 64 1 4 56307 SS 5.0 25 0.4 2.45605 1.9177000000000002
180 64 1 4 56307 SS 5.0 25 0.4 9.8242 1.9612000000000003
181 64 1 4 56307 SS 5.0 25 0.4 39.2968 2.1309
182 64 1 4 56307 TT 3.6 25 0.0125 2.45605 2.2058
183 64 1 4 56307 TT 3.6 25 0.0125 9.8242 2.2605000000000004
184 64 1 4 56307 TT 3.6 25 0.0125 39.2968 2.4711
185 64 1 4 56307 TT 3.6 25 0.05 2.45605 2.2114000000000003
186 64 1 4 56307 TT 3.6 25 0.05 9.8242 2.2665
187 64 1 4 56307 TT 3.6 25 0.05 39.2968 2.4763
188 64 1 4 56307 TT 3.6 25 0.4 2.45605 2.275
189 64 1 4 56307 TT 3.6 25 0.4 9.8242 2.3298000000000005
190 64 1 4 56307 TT 3.6 25 0.4 39.2968 2.5404
191 32 1 2 50620 FF 5.0 25 0.0125 2.45605 1.6865
192 32 1 2 50620 FF 5.0 25 0.0125 9.8242 1.7291
193 32 1 2 50620 FF 5.0 25 0.0125 39.2968 1.8895000000000002
194 32 1 2 50620 FF 5.0 25 0.05 2.45605 1.6914000000000002
195 32 1 2 50620 FF 5.0 25 0.05 9.8242 1.7333000000000003
196 32 1 2 50620 FF 5.0 25 0.05 39.2968 1.8939
197 32 1 2 50620 FF 5.0 25 0.4 2.45605 1.7472
198 32 1 2 50620 FF 5.0 25 0.4 9.8242 1.7880000000000003
199 32 1 2 50620 FF 5.0 25 0.4 39.2968 1.9504000000000001
200 32 1 2 50620 SS 5.0 25 0.0125 2.45605 1.7409000000000001
201 32 1 2 50620 SS 5.0 25 0.0125 9.8242 1.7842
202 32 1 2 50620 SS 5.0 25 0.0125 39.2968 1.9504000000000001
203 32 1 2 50620 SS 5.0 25 0.05 2.45605 1.7450000000000003
204 32 1 2 50620 SS 5.0 25 0.05 9.8242 1.7885000000000002
205 32 1 2 50620 SS 5.0 25 0.05 39.2968 1.9549000000000003
206 32 1 2 50620 SS 5.0 25 0.4 2.45605 1.8043
207 32 1 2 50620 SS 5.0 25 0.4 9.8242 1.8470000000000002
208 32 1 2 50620 SS 5.0 25 0.4 39.2968 2.0142
209 32 1 2 50620 TT 3.6 25 0.0125 2.45605 2.0660000000000003
210 32 1 2 50620 TT 3.6 25 0.0125 9.8242 2.1195
211 32 1 2 50620 TT 3.6 25 0.0125 39.2968 2.3282
212 32 1 2 50620 TT 3.6 25 0.05 2.45605 2.0698
213 32 1 2 50620 TT 3.6 25 0.05 9.8242 2.1242
214 32 1 2 50620 TT 3.6 25 0.05 39.2968 2.3331
215 32 1 2 50620 TT 3.6 25 0.4 2.45605 2.1344
216 32 1 2 50620 TT 3.6 25 0.4 9.8242 2.1888
217 32 1 2 50620 TT 3.6 25 0.4 39.2968 2.3966000000000003
218 16 4 1 51796 FF 5.0 25 0.0125 2.45605 1.5255
219 16 4 1 51796 FF 5.0 25 0.0125 9.8242 1.5651000000000002
220 16 4 1 51796 FF 5.0 25 0.0125 39.2968 1.7136000000000002
221 16 4 1 51796 FF 5.0 25 0.05 2.45605 1.5287000000000002
222 16 4 1 51796 FF 5.0 25 0.05 9.8242 1.5694
223 16 4 1 51796 FF 5.0 25 0.05 39.2968 1.7179
224 16 4 1 51796 FF 5.0 25 0.4 2.45605 1.5851
225 16 4 1 51796 FF 5.0 25 0.4 9.8242 1.6246000000000003
226 16 4 1 51796 FF 5.0 25 0.4 39.2968 1.7731
227 16 4 1 51796 SS 5.0 25 0.0125 2.45605 1.5803000000000003
228 16 4 1 51796 SS 5.0 25 0.0125 9.8242 1.6209
229 16 4 1 51796 SS 5.0 25 0.0125 39.2968 1.7744
230 16 4 1 51796 SS 5.0 25 0.05 2.45605 1.5839
231 16 4 1 51796 SS 5.0 25 0.05 9.8242 1.6246000000000003
232 16 4 1 51796 SS 5.0 25 0.05 39.2968 1.7778000000000003
233 16 4 1 51796 SS 5.0 25 0.4 2.45605 1.6416
234 16 4 1 51796 SS 5.0 25 0.4 9.8242 1.6837000000000002
235 16 4 1 51796 SS 5.0 25 0.4 39.2968 1.8361
236 16 4 1 51796 TT 5.0 25 0.0125 2.45605 1.5574000000000001
237 16 4 1 51796 TT 5.0 25 0.0125 9.8242 1.5984000000000003
238 16 4 1 51796 TT 5.0 25 0.0125 39.2968 1.7492
239 16 4 1 51796 TT 5.0 25 0.05 2.45605 1.5622
240 16 4 1 51796 TT 5.0 25 0.05 9.8242 1.6025000000000003
241 16 4 1 51796 TT 5.0 25 0.05 39.2968 1.7526000000000002
242 16 4 1 51796 TT 5.0 25 0.4 2.45605 1.618
243 16 4 1 51796 TT 5.0 25 0.4 9.8242 1.6577
244 16 4 1 51796 TT 5.0 25 0.4 39.2968 1.8096000000000003

View File

@ -1,244 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,fall_slew
16,2,1,46853,FF,5.0,25,0.0125,2.45605,1.7733000000000003
16,2,1,46853,FF,5.0,25,0.0125,9.8242,1.7797000000000003
16,2,1,46853,FF,5.0,25,0.0125,39.2968,1.8085000000000002
16,2,1,46853,FF,5.0,25,0.05,2.45605,1.7736
16,2,1,46853,FF,5.0,25,0.05,9.8242,1.7796
16,2,1,46853,FF,5.0,25,0.05,39.2968,1.8081000000000003
16,2,1,46853,FF,5.0,25,0.4,2.45605,1.774
16,2,1,46853,FF,5.0,25,0.4,9.8242,1.7812000000000001
16,2,1,46853,FF,5.0,25,0.4,39.2968,1.8084
16,2,1,46853,SS,5.0,25,0.0125,2.45605,1.8483
16,2,1,46853,SS,5.0,25,0.0125,9.8242,1.8552000000000002
16,2,1,46853,SS,5.0,25,0.0125,39.2968,1.8888000000000003
16,2,1,46853,SS,5.0,25,0.05,2.45605,1.8472
16,2,1,46853,SS,5.0,25,0.05,9.8242,1.8547000000000002
16,2,1,46853,SS,5.0,25,0.05,39.2968,1.8883
16,2,1,46853,SS,5.0,25,0.4,2.45605,1.8462
16,2,1,46853,SS,5.0,25,0.4,9.8242,1.8541000000000003
16,2,1,46853,SS,5.0,25,0.4,39.2968,1.8880000000000001
16,2,1,46853,TT,3.6,25,0.0125,2.45605,2.2169
16,2,1,46853,TT,3.6,25,0.0125,9.8242,2.2276000000000002
16,2,1,46853,TT,3.6,25,0.0125,39.2968,2.2752000000000003
16,2,1,46853,TT,3.6,25,0.05,2.45605,2.2169
16,2,1,46853,TT,3.6,25,0.05,9.8242,2.2274
16,2,1,46853,TT,3.6,25,0.05,39.2968,2.2752000000000003
16,2,1,46853,TT,3.6,25,0.4,2.45605,2.2155
16,2,1,46853,TT,3.6,25,0.4,9.8242,2.2265
16,2,1,46853,TT,3.6,25,0.4,39.2968,2.274
64,2,4,66821,FF,5.0,25,0.0125,2.45605,1.6523
64,2,4,66821,FF,5.0,25,0.0125,9.8242,1.6619
64,2,4,66821,FF,5.0,25,0.0125,39.2968,1.6992
64,2,4,66821,FF,5.0,25,0.05,2.45605,1.6526000000000003
64,2,4,66821,FF,5.0,25,0.05,9.8242,1.6615000000000002
64,2,4,66821,FF,5.0,25,0.05,39.2968,1.6989000000000003
64,2,4,66821,FF,5.0,25,0.4,2.45605,1.6514000000000002
64,2,4,66821,FF,5.0,25,0.4,9.8242,1.6621000000000001
64,2,4,66821,FF,5.0,25,0.4,39.2968,1.6979000000000002
64,2,4,66821,SS,5.0,25,0.0125,2.45605,1.7235
64,2,4,66821,SS,5.0,25,0.0125,9.8242,1.7336
64,2,4,66821,SS,5.0,25,0.0125,39.2968,1.7746
64,2,4,66821,SS,5.0,25,0.05,2.45605,1.7236
64,2,4,66821,SS,5.0,25,0.05,9.8242,1.7332
64,2,4,66821,SS,5.0,25,0.05,39.2968,1.7749
64,2,4,66821,SS,5.0,25,0.4,2.45605,1.7249
64,2,4,66821,SS,5.0,25,0.4,9.8242,1.7345
64,2,4,66821,SS,5.0,25,0.4,39.2968,1.7753000000000003
64,2,4,66821,TT,3.6,25,0.0125,2.45605,2.0566
64,2,4,66821,TT,3.6,25,0.0125,9.8242,2.0700000000000003
64,2,4,66821,TT,3.6,25,0.0125,39.2968,2.1247
64,2,4,66821,TT,3.6,25,0.05,2.45605,2.0569
64,2,4,66821,TT,3.6,25,0.05,9.8242,2.0712000000000006
64,2,4,66821,TT,3.6,25,0.05,39.2968,2.1243
64,2,4,66821,TT,3.6,25,0.4,2.45605,2.0575000000000006
64,2,4,66821,TT,3.6,25,0.4,9.8242,2.0712000000000006
64,2,4,66821,TT,3.6,25,0.4,39.2968,2.1244
16,1,1,44918,FF,5.0,25,0.0125,2.45605,1.7495000000000003
16,1,1,44918,FF,5.0,25,0.0125,9.8242,1.7561000000000002
16,1,1,44918,FF,5.0,25,0.0125,39.2968,1.7857
16,1,1,44918,FF,5.0,25,0.05,2.45605,1.7488
16,1,1,44918,FF,5.0,25,0.05,9.8242,1.7553
16,1,1,44918,FF,5.0,25,0.05,39.2968,1.7849000000000002
16,1,1,44918,FF,5.0,25,0.4,2.45605,1.7487
16,1,1,44918,FF,5.0,25,0.4,9.8242,1.7550000000000001
16,1,1,44918,FF,5.0,25,0.4,39.2968,1.7854000000000003
16,1,1,44918,SS,5.0,25,0.0125,2.45605,1.8221
16,1,1,44918,SS,5.0,25,0.0125,9.8242,1.8306
16,1,1,44918,SS,5.0,25,0.0125,39.2968,1.8645000000000003
16,1,1,44918,SS,5.0,25,0.05,2.45605,1.8229
16,1,1,44918,SS,5.0,25,0.05,9.8242,1.8298000000000003
16,1,1,44918,SS,5.0,25,0.05,39.2968,1.8645000000000003
16,1,1,44918,SS,5.0,25,0.4,2.45605,1.8223000000000003
16,1,1,44918,SS,5.0,25,0.4,9.8242,1.829
16,1,1,44918,SS,5.0,25,0.4,39.2968,1.8636000000000001
16,1,1,44918,TT,3.6,25,0.0125,2.45605,2.1882
16,1,1,44918,TT,3.6,25,0.0125,9.8242,2.199
16,1,1,44918,TT,3.6,25,0.0125,39.2968,2.2476
16,1,1,44918,TT,3.6,25,0.05,2.45605,2.1871
16,1,1,44918,TT,3.6,25,0.05,9.8242,2.198
16,1,1,44918,TT,3.6,25,0.05,39.2968,2.2471
16,1,1,44918,TT,3.6,25,0.4,2.45605,2.186
16,1,1,44918,TT,3.6,25,0.4,9.8242,2.1974000000000005
16,1,1,44918,TT,3.6,25,0.4,39.2968,2.2482
32,3,2,61533,FF,5.0,25,0.0125,2.45605,1.6930000000000003
32,3,2,61533,FF,5.0,25,0.0125,9.8242,1.7023
32,3,2,61533,FF,5.0,25,0.0125,39.2968,1.7384000000000002
32,3,2,61533,FF,5.0,25,0.05,2.45605,1.6936
32,3,2,61533,FF,5.0,25,0.05,9.8242,1.7029
32,3,2,61533,FF,5.0,25,0.05,39.2968,1.7383000000000002
32,3,2,61533,FF,5.0,25,0.4,2.45605,1.6926
32,3,2,61533,FF,5.0,25,0.4,9.8242,1.7030000000000003
32,3,2,61533,FF,5.0,25,0.4,39.2968,1.7383000000000002
32,3,2,61533,SS,5.0,25,0.0125,2.45605,1.7645
32,3,2,61533,SS,5.0,25,0.0125,9.8242,1.7747000000000002
32,3,2,61533,SS,5.0,25,0.0125,39.2968,1.815
32,3,2,61533,SS,5.0,25,0.05,2.45605,1.766
32,3,2,61533,SS,5.0,25,0.05,9.8242,1.7753000000000003
32,3,2,61533,SS,5.0,25,0.05,39.2968,1.8152000000000001
32,3,2,61533,SS,5.0,25,0.4,2.45605,1.7669
32,3,2,61533,SS,5.0,25,0.4,9.8242,1.777
32,3,2,61533,SS,5.0,25,0.4,39.2968,1.8152000000000001
32,3,2,61533,TT,3.6,25,0.0125,2.45605,2.1084000000000005
32,3,2,61533,TT,3.6,25,0.0125,9.8242,2.1226000000000003
32,3,2,61533,TT,3.6,25,0.0125,39.2968,2.1758
32,3,2,61533,TT,3.6,25,0.05,2.45605,2.1088
32,3,2,61533,TT,3.6,25,0.05,9.8242,2.1235
32,3,2,61533,TT,3.6,25,0.05,39.2968,2.1756
32,3,2,61533,TT,3.6,25,0.4,2.45605,2.1091000000000006
32,3,2,61533,TT,3.6,25,0.4,9.8242,2.1213000000000006
32,3,2,61533,TT,3.6,25,0.4,39.2968,2.1751
32,2,2,55960,FF,5.0,25,0.0125,2.45605,1.6751
32,2,2,55960,FF,5.0,25,0.0125,9.8242,1.6843000000000001
32,2,2,55960,FF,5.0,25,0.0125,39.2968,1.7199
32,2,2,55960,FF,5.0,25,0.05,2.45605,1.6754
32,2,2,55960,FF,5.0,25,0.05,9.8242,1.6838000000000002
32,2,2,55960,FF,5.0,25,0.05,39.2968,1.7202000000000002
32,2,2,55960,FF,5.0,25,0.4,2.45605,1.6771
32,2,2,55960,FF,5.0,25,0.4,9.8242,1.6857
32,2,2,55960,FF,5.0,25,0.4,39.2968,1.7212000000000003
32,2,2,55960,SS,5.0,25,0.0125,2.45605,1.7473
32,2,2,55960,SS,5.0,25,0.0125,9.8242,1.7574
32,2,2,55960,SS,5.0,25,0.0125,39.2968,1.7962
32,2,2,55960,SS,5.0,25,0.05,2.45605,1.7467
32,2,2,55960,SS,5.0,25,0.05,9.8242,1.7568
32,2,2,55960,SS,5.0,25,0.05,39.2968,1.7966000000000002
32,2,2,55960,SS,5.0,25,0.4,2.45605,1.7470000000000003
32,2,2,55960,SS,5.0,25,0.4,9.8242,1.7571000000000003
32,2,2,55960,SS,5.0,25,0.4,39.2968,1.7965000000000002
32,2,2,55960,TT,3.6,25,0.0125,2.45605,2.0848
32,2,2,55960,TT,3.6,25,0.0125,9.8242,2.0981
32,2,2,55960,TT,3.6,25,0.0125,39.2968,2.1533
32,2,2,55960,TT,3.6,25,0.05,2.45605,2.0851
32,2,2,55960,TT,3.6,25,0.05,9.8242,2.0985
32,2,2,55960,TT,3.6,25,0.05,39.2968,2.1534
32,2,2,55960,TT,3.6,25,0.4,2.45605,2.087
32,2,2,55960,TT,3.6,25,0.4,9.8242,2.1005
32,2,2,55960,TT,3.6,25,0.4,39.2968,2.1537
16,3,1,49288,FF,5.0,25,0.0125,2.45605,1.7972
16,3,1,49288,FF,5.0,25,0.0125,9.8242,1.8042
16,3,1,49288,FF,5.0,25,0.0125,39.2968,1.8323000000000003
16,3,1,49288,FF,5.0,25,0.05,2.45605,1.7976000000000003
16,3,1,49288,FF,5.0,25,0.05,9.8242,1.8042
16,3,1,49288,FF,5.0,25,0.05,39.2968,1.8332
16,3,1,49288,FF,5.0,25,0.4,2.45605,1.7986000000000002
16,3,1,49288,FF,5.0,25,0.4,9.8242,1.8053
16,3,1,49288,FF,5.0,25,0.4,39.2968,1.8329000000000002
16,3,1,49288,SS,5.0,25,0.0125,2.45605,1.8728
16,3,1,49288,SS,5.0,25,0.0125,9.8242,1.8801
16,3,1,49288,SS,5.0,25,0.0125,39.2968,1.9131
16,3,1,49288,SS,5.0,25,0.05,2.45605,1.873
16,3,1,49288,SS,5.0,25,0.05,9.8242,1.8798000000000001
16,3,1,49288,SS,5.0,25,0.05,39.2968,1.9137000000000002
16,3,1,49288,SS,5.0,25,0.4,2.45605,1.8741000000000003
16,3,1,49288,SS,5.0,25,0.4,9.8242,1.882
16,3,1,49288,SS,5.0,25,0.4,39.2968,1.9137000000000002
16,3,1,49288,TT,3.6,25,0.0125,2.45605,2.2478000000000002
16,3,1,49288,TT,3.6,25,0.0125,9.8242,2.2586
16,3,1,49288,TT,3.6,25,0.0125,39.2968,2.3049000000000004
16,3,1,49288,TT,3.6,25,0.05,2.45605,2.2489
16,3,1,49288,TT,3.6,25,0.05,9.8242,2.2599
16,3,1,49288,TT,3.6,25,0.05,39.2968,2.3051000000000004
16,3,1,49288,TT,3.6,25,0.4,2.45605,2.2488
16,3,1,49288,TT,3.6,25,0.4,9.8242,2.2592000000000003
16,3,1,49288,TT,3.6,25,0.4,39.2968,2.3051000000000004
64,1,4,56307,FF,5.0,25,0.0125,2.45605,1.6302000000000003
64,1,4,56307,FF,5.0,25,0.0125,9.8242,1.6383000000000003
64,1,4,56307,FF,5.0,25,0.0125,39.2968,1.6746
64,1,4,56307,FF,5.0,25,0.05,2.45605,1.6295
64,1,4,56307,FF,5.0,25,0.05,9.8242,1.6381
64,1,4,56307,FF,5.0,25,0.05,39.2968,1.6744
64,1,4,56307,FF,5.0,25,0.4,2.45605,1.6302000000000003
64,1,4,56307,FF,5.0,25,0.4,9.8242,1.6389000000000002
64,1,4,56307,FF,5.0,25,0.4,39.2968,1.674
64,1,4,56307,SS,5.0,25,0.0125,2.45605,1.7001
64,1,4,56307,SS,5.0,25,0.0125,9.8242,1.7103
64,1,4,56307,SS,5.0,25,0.0125,39.2968,1.7491000000000003
64,1,4,56307,SS,5.0,25,0.05,2.45605,1.7005000000000001
64,1,4,56307,SS,5.0,25,0.05,9.8242,1.7093
64,1,4,56307,SS,5.0,25,0.05,39.2968,1.7491000000000003
64,1,4,56307,SS,5.0,25,0.4,2.45605,1.6997
64,1,4,56307,SS,5.0,25,0.4,9.8242,1.7094
64,1,4,56307,SS,5.0,25,0.4,39.2968,1.7490000000000003
64,1,4,56307,TT,3.6,25,0.0125,2.45605,2.0304
64,1,4,56307,TT,3.6,25,0.0125,9.8242,2.0431
64,1,4,56307,TT,3.6,25,0.0125,39.2968,2.0968
64,1,4,56307,TT,3.6,25,0.05,2.45605,2.0301000000000005
64,1,4,56307,TT,3.6,25,0.05,9.8242,2.0428000000000006
64,1,4,56307,TT,3.6,25,0.05,39.2968,2.0958
64,1,4,56307,TT,3.6,25,0.4,2.45605,2.0293000000000005
64,1,4,56307,TT,3.6,25,0.4,9.8242,2.0441
64,1,4,56307,TT,3.6,25,0.4,39.2968,2.0968
32,1,2,50620,FF,5.0,25,0.0125,2.45605,1.6570000000000003
32,1,2,50620,FF,5.0,25,0.0125,9.8242,1.6657000000000002
32,1,2,50620,FF,5.0,25,0.0125,39.2968,1.7021000000000002
32,1,2,50620,FF,5.0,25,0.05,2.45605,1.6565000000000003
32,1,2,50620,FF,5.0,25,0.05,9.8242,1.6653
32,1,2,50620,FF,5.0,25,0.05,39.2968,1.7012
32,1,2,50620,FF,5.0,25,0.4,2.45605,1.6566000000000003
32,1,2,50620,FF,5.0,25,0.4,9.8242,1.6649
32,1,2,50620,FF,5.0,25,0.4,39.2968,1.7007
32,1,2,50620,SS,5.0,25,0.0125,2.45605,1.7273000000000003
32,1,2,50620,SS,5.0,25,0.0125,9.8242,1.7378000000000002
32,1,2,50620,SS,5.0,25,0.0125,39.2968,1.7765
32,1,2,50620,SS,5.0,25,0.05,2.45605,1.7264
32,1,2,50620,SS,5.0,25,0.05,9.8242,1.7376
32,1,2,50620,SS,5.0,25,0.05,39.2968,1.7772000000000001
32,1,2,50620,SS,5.0,25,0.4,2.45605,1.7272000000000003
32,1,2,50620,SS,5.0,25,0.4,9.8242,1.7377
32,1,2,50620,SS,5.0,25,0.4,39.2968,1.7766
32,1,2,50620,TT,3.6,25,0.0125,2.45605,2.0632
32,1,2,50620,TT,3.6,25,0.0125,9.8242,2.0767000000000007
32,1,2,50620,TT,3.6,25,0.0125,39.2968,2.1305
32,1,2,50620,TT,3.6,25,0.05,2.45605,2.0621
32,1,2,50620,TT,3.6,25,0.05,9.8242,2.0756
32,1,2,50620,TT,3.6,25,0.05,39.2968,2.1304
32,1,2,50620,TT,3.6,25,0.4,2.45605,2.0626
32,1,2,50620,TT,3.6,25,0.4,9.8242,2.0747000000000004
32,1,2,50620,TT,3.6,25,0.4,39.2968,2.129
16,4,1,51796,FF,5.0,25,0.0125,2.45605,1.8218000000000003
16,4,1,51796,FF,5.0,25,0.0125,9.8242,1.8282000000000003
16,4,1,51796,FF,5.0,25,0.0125,39.2968,1.8565000000000003
16,4,1,51796,FF,5.0,25,0.05,2.45605,1.8219
16,4,1,51796,FF,5.0,25,0.05,9.8242,1.829
16,4,1,51796,FF,5.0,25,0.05,39.2968,1.8567000000000002
16,4,1,51796,FF,5.0,25,0.4,2.45605,1.8197000000000003
16,4,1,51796,FF,5.0,25,0.4,9.8242,1.827
16,4,1,51796,FF,5.0,25,0.4,39.2968,1.8559
16,4,1,51796,SS,5.0,25,0.0125,2.45605,1.8981
16,4,1,51796,SS,5.0,25,0.0125,9.8242,1.9056000000000002
16,4,1,51796,SS,5.0,25,0.0125,39.2968,1.9388000000000003
16,4,1,51796,SS,5.0,25,0.05,2.45605,1.8991000000000002
16,4,1,51796,SS,5.0,25,0.05,9.8242,1.9061
16,4,1,51796,SS,5.0,25,0.05,39.2968,1.9387000000000003
16,4,1,51796,SS,5.0,25,0.4,2.45605,1.8991000000000002
16,4,1,51796,SS,5.0,25,0.4,9.8242,1.9077
16,4,1,51796,SS,5.0,25,0.4,39.2968,1.9395000000000002
16,4,1,51796,TT,5.0,25,0.0125,2.45605,1.8666000000000003
16,4,1,51796,TT,5.0,25,0.0125,9.8242,1.873
16,4,1,51796,TT,5.0,25,0.0125,39.2968,1.9037
16,4,1,51796,TT,5.0,25,0.05,2.45605,1.8657
16,4,1,51796,TT,5.0,25,0.05,9.8242,1.8727
16,4,1,51796,TT,5.0,25,0.05,39.2968,1.9036
16,4,1,51796,TT,5.0,25,0.4,2.45605,1.8673
16,4,1,51796,TT,5.0,25,0.4,9.8242,1.8746
16,4,1,51796,TT,5.0,25,0.4,39.2968,1.9043
1 num_words word_size words_per_row area process voltage temperature slew load fall_slew
2 16 2 1 46853 FF 5.0 25 0.0125 2.45605 1.7733000000000003
3 16 2 1 46853 FF 5.0 25 0.0125 9.8242 1.7797000000000003
4 16 2 1 46853 FF 5.0 25 0.0125 39.2968 1.8085000000000002
5 16 2 1 46853 FF 5.0 25 0.05 2.45605 1.7736
6 16 2 1 46853 FF 5.0 25 0.05 9.8242 1.7796
7 16 2 1 46853 FF 5.0 25 0.05 39.2968 1.8081000000000003
8 16 2 1 46853 FF 5.0 25 0.4 2.45605 1.774
9 16 2 1 46853 FF 5.0 25 0.4 9.8242 1.7812000000000001
10 16 2 1 46853 FF 5.0 25 0.4 39.2968 1.8084
11 16 2 1 46853 SS 5.0 25 0.0125 2.45605 1.8483
12 16 2 1 46853 SS 5.0 25 0.0125 9.8242 1.8552000000000002
13 16 2 1 46853 SS 5.0 25 0.0125 39.2968 1.8888000000000003
14 16 2 1 46853 SS 5.0 25 0.05 2.45605 1.8472
15 16 2 1 46853 SS 5.0 25 0.05 9.8242 1.8547000000000002
16 16 2 1 46853 SS 5.0 25 0.05 39.2968 1.8883
17 16 2 1 46853 SS 5.0 25 0.4 2.45605 1.8462
18 16 2 1 46853 SS 5.0 25 0.4 9.8242 1.8541000000000003
19 16 2 1 46853 SS 5.0 25 0.4 39.2968 1.8880000000000001
20 16 2 1 46853 TT 3.6 25 0.0125 2.45605 2.2169
21 16 2 1 46853 TT 3.6 25 0.0125 9.8242 2.2276000000000002
22 16 2 1 46853 TT 3.6 25 0.0125 39.2968 2.2752000000000003
23 16 2 1 46853 TT 3.6 25 0.05 2.45605 2.2169
24 16 2 1 46853 TT 3.6 25 0.05 9.8242 2.2274
25 16 2 1 46853 TT 3.6 25 0.05 39.2968 2.2752000000000003
26 16 2 1 46853 TT 3.6 25 0.4 2.45605 2.2155
27 16 2 1 46853 TT 3.6 25 0.4 9.8242 2.2265
28 16 2 1 46853 TT 3.6 25 0.4 39.2968 2.274
29 64 2 4 66821 FF 5.0 25 0.0125 2.45605 1.6523
30 64 2 4 66821 FF 5.0 25 0.0125 9.8242 1.6619
31 64 2 4 66821 FF 5.0 25 0.0125 39.2968 1.6992
32 64 2 4 66821 FF 5.0 25 0.05 2.45605 1.6526000000000003
33 64 2 4 66821 FF 5.0 25 0.05 9.8242 1.6615000000000002
34 64 2 4 66821 FF 5.0 25 0.05 39.2968 1.6989000000000003
35 64 2 4 66821 FF 5.0 25 0.4 2.45605 1.6514000000000002
36 64 2 4 66821 FF 5.0 25 0.4 9.8242 1.6621000000000001
37 64 2 4 66821 FF 5.0 25 0.4 39.2968 1.6979000000000002
38 64 2 4 66821 SS 5.0 25 0.0125 2.45605 1.7235
39 64 2 4 66821 SS 5.0 25 0.0125 9.8242 1.7336
40 64 2 4 66821 SS 5.0 25 0.0125 39.2968 1.7746
41 64 2 4 66821 SS 5.0 25 0.05 2.45605 1.7236
42 64 2 4 66821 SS 5.0 25 0.05 9.8242 1.7332
43 64 2 4 66821 SS 5.0 25 0.05 39.2968 1.7749
44 64 2 4 66821 SS 5.0 25 0.4 2.45605 1.7249
45 64 2 4 66821 SS 5.0 25 0.4 9.8242 1.7345
46 64 2 4 66821 SS 5.0 25 0.4 39.2968 1.7753000000000003
47 64 2 4 66821 TT 3.6 25 0.0125 2.45605 2.0566
48 64 2 4 66821 TT 3.6 25 0.0125 9.8242 2.0700000000000003
49 64 2 4 66821 TT 3.6 25 0.0125 39.2968 2.1247
50 64 2 4 66821 TT 3.6 25 0.05 2.45605 2.0569
51 64 2 4 66821 TT 3.6 25 0.05 9.8242 2.0712000000000006
52 64 2 4 66821 TT 3.6 25 0.05 39.2968 2.1243
53 64 2 4 66821 TT 3.6 25 0.4 2.45605 2.0575000000000006
54 64 2 4 66821 TT 3.6 25 0.4 9.8242 2.0712000000000006
55 64 2 4 66821 TT 3.6 25 0.4 39.2968 2.1244
56 16 1 1 44918 FF 5.0 25 0.0125 2.45605 1.7495000000000003
57 16 1 1 44918 FF 5.0 25 0.0125 9.8242 1.7561000000000002
58 16 1 1 44918 FF 5.0 25 0.0125 39.2968 1.7857
59 16 1 1 44918 FF 5.0 25 0.05 2.45605 1.7488
60 16 1 1 44918 FF 5.0 25 0.05 9.8242 1.7553
61 16 1 1 44918 FF 5.0 25 0.05 39.2968 1.7849000000000002
62 16 1 1 44918 FF 5.0 25 0.4 2.45605 1.7487
63 16 1 1 44918 FF 5.0 25 0.4 9.8242 1.7550000000000001
64 16 1 1 44918 FF 5.0 25 0.4 39.2968 1.7854000000000003
65 16 1 1 44918 SS 5.0 25 0.0125 2.45605 1.8221
66 16 1 1 44918 SS 5.0 25 0.0125 9.8242 1.8306
67 16 1 1 44918 SS 5.0 25 0.0125 39.2968 1.8645000000000003
68 16 1 1 44918 SS 5.0 25 0.05 2.45605 1.8229
69 16 1 1 44918 SS 5.0 25 0.05 9.8242 1.8298000000000003
70 16 1 1 44918 SS 5.0 25 0.05 39.2968 1.8645000000000003
71 16 1 1 44918 SS 5.0 25 0.4 2.45605 1.8223000000000003
72 16 1 1 44918 SS 5.0 25 0.4 9.8242 1.829
73 16 1 1 44918 SS 5.0 25 0.4 39.2968 1.8636000000000001
74 16 1 1 44918 TT 3.6 25 0.0125 2.45605 2.1882
75 16 1 1 44918 TT 3.6 25 0.0125 9.8242 2.199
76 16 1 1 44918 TT 3.6 25 0.0125 39.2968 2.2476
77 16 1 1 44918 TT 3.6 25 0.05 2.45605 2.1871
78 16 1 1 44918 TT 3.6 25 0.05 9.8242 2.198
79 16 1 1 44918 TT 3.6 25 0.05 39.2968 2.2471
80 16 1 1 44918 TT 3.6 25 0.4 2.45605 2.186
81 16 1 1 44918 TT 3.6 25 0.4 9.8242 2.1974000000000005
82 16 1 1 44918 TT 3.6 25 0.4 39.2968 2.2482
83 32 3 2 61533 FF 5.0 25 0.0125 2.45605 1.6930000000000003
84 32 3 2 61533 FF 5.0 25 0.0125 9.8242 1.7023
85 32 3 2 61533 FF 5.0 25 0.0125 39.2968 1.7384000000000002
86 32 3 2 61533 FF 5.0 25 0.05 2.45605 1.6936
87 32 3 2 61533 FF 5.0 25 0.05 9.8242 1.7029
88 32 3 2 61533 FF 5.0 25 0.05 39.2968 1.7383000000000002
89 32 3 2 61533 FF 5.0 25 0.4 2.45605 1.6926
90 32 3 2 61533 FF 5.0 25 0.4 9.8242 1.7030000000000003
91 32 3 2 61533 FF 5.0 25 0.4 39.2968 1.7383000000000002
92 32 3 2 61533 SS 5.0 25 0.0125 2.45605 1.7645
93 32 3 2 61533 SS 5.0 25 0.0125 9.8242 1.7747000000000002
94 32 3 2 61533 SS 5.0 25 0.0125 39.2968 1.815
95 32 3 2 61533 SS 5.0 25 0.05 2.45605 1.766
96 32 3 2 61533 SS 5.0 25 0.05 9.8242 1.7753000000000003
97 32 3 2 61533 SS 5.0 25 0.05 39.2968 1.8152000000000001
98 32 3 2 61533 SS 5.0 25 0.4 2.45605 1.7669
99 32 3 2 61533 SS 5.0 25 0.4 9.8242 1.777
100 32 3 2 61533 SS 5.0 25 0.4 39.2968 1.8152000000000001
101 32 3 2 61533 TT 3.6 25 0.0125 2.45605 2.1084000000000005
102 32 3 2 61533 TT 3.6 25 0.0125 9.8242 2.1226000000000003
103 32 3 2 61533 TT 3.6 25 0.0125 39.2968 2.1758
104 32 3 2 61533 TT 3.6 25 0.05 2.45605 2.1088
105 32 3 2 61533 TT 3.6 25 0.05 9.8242 2.1235
106 32 3 2 61533 TT 3.6 25 0.05 39.2968 2.1756
107 32 3 2 61533 TT 3.6 25 0.4 2.45605 2.1091000000000006
108 32 3 2 61533 TT 3.6 25 0.4 9.8242 2.1213000000000006
109 32 3 2 61533 TT 3.6 25 0.4 39.2968 2.1751
110 32 2 2 55960 FF 5.0 25 0.0125 2.45605 1.6751
111 32 2 2 55960 FF 5.0 25 0.0125 9.8242 1.6843000000000001
112 32 2 2 55960 FF 5.0 25 0.0125 39.2968 1.7199
113 32 2 2 55960 FF 5.0 25 0.05 2.45605 1.6754
114 32 2 2 55960 FF 5.0 25 0.05 9.8242 1.6838000000000002
115 32 2 2 55960 FF 5.0 25 0.05 39.2968 1.7202000000000002
116 32 2 2 55960 FF 5.0 25 0.4 2.45605 1.6771
117 32 2 2 55960 FF 5.0 25 0.4 9.8242 1.6857
118 32 2 2 55960 FF 5.0 25 0.4 39.2968 1.7212000000000003
119 32 2 2 55960 SS 5.0 25 0.0125 2.45605 1.7473
120 32 2 2 55960 SS 5.0 25 0.0125 9.8242 1.7574
121 32 2 2 55960 SS 5.0 25 0.0125 39.2968 1.7962
122 32 2 2 55960 SS 5.0 25 0.05 2.45605 1.7467
123 32 2 2 55960 SS 5.0 25 0.05 9.8242 1.7568
124 32 2 2 55960 SS 5.0 25 0.05 39.2968 1.7966000000000002
125 32 2 2 55960 SS 5.0 25 0.4 2.45605 1.7470000000000003
126 32 2 2 55960 SS 5.0 25 0.4 9.8242 1.7571000000000003
127 32 2 2 55960 SS 5.0 25 0.4 39.2968 1.7965000000000002
128 32 2 2 55960 TT 3.6 25 0.0125 2.45605 2.0848
129 32 2 2 55960 TT 3.6 25 0.0125 9.8242 2.0981
130 32 2 2 55960 TT 3.6 25 0.0125 39.2968 2.1533
131 32 2 2 55960 TT 3.6 25 0.05 2.45605 2.0851
132 32 2 2 55960 TT 3.6 25 0.05 9.8242 2.0985
133 32 2 2 55960 TT 3.6 25 0.05 39.2968 2.1534
134 32 2 2 55960 TT 3.6 25 0.4 2.45605 2.087
135 32 2 2 55960 TT 3.6 25 0.4 9.8242 2.1005
136 32 2 2 55960 TT 3.6 25 0.4 39.2968 2.1537
137 16 3 1 49288 FF 5.0 25 0.0125 2.45605 1.7972
138 16 3 1 49288 FF 5.0 25 0.0125 9.8242 1.8042
139 16 3 1 49288 FF 5.0 25 0.0125 39.2968 1.8323000000000003
140 16 3 1 49288 FF 5.0 25 0.05 2.45605 1.7976000000000003
141 16 3 1 49288 FF 5.0 25 0.05 9.8242 1.8042
142 16 3 1 49288 FF 5.0 25 0.05 39.2968 1.8332
143 16 3 1 49288 FF 5.0 25 0.4 2.45605 1.7986000000000002
144 16 3 1 49288 FF 5.0 25 0.4 9.8242 1.8053
145 16 3 1 49288 FF 5.0 25 0.4 39.2968 1.8329000000000002
146 16 3 1 49288 SS 5.0 25 0.0125 2.45605 1.8728
147 16 3 1 49288 SS 5.0 25 0.0125 9.8242 1.8801
148 16 3 1 49288 SS 5.0 25 0.0125 39.2968 1.9131
149 16 3 1 49288 SS 5.0 25 0.05 2.45605 1.873
150 16 3 1 49288 SS 5.0 25 0.05 9.8242 1.8798000000000001
151 16 3 1 49288 SS 5.0 25 0.05 39.2968 1.9137000000000002
152 16 3 1 49288 SS 5.0 25 0.4 2.45605 1.8741000000000003
153 16 3 1 49288 SS 5.0 25 0.4 9.8242 1.882
154 16 3 1 49288 SS 5.0 25 0.4 39.2968 1.9137000000000002
155 16 3 1 49288 TT 3.6 25 0.0125 2.45605 2.2478000000000002
156 16 3 1 49288 TT 3.6 25 0.0125 9.8242 2.2586
157 16 3 1 49288 TT 3.6 25 0.0125 39.2968 2.3049000000000004
158 16 3 1 49288 TT 3.6 25 0.05 2.45605 2.2489
159 16 3 1 49288 TT 3.6 25 0.05 9.8242 2.2599
160 16 3 1 49288 TT 3.6 25 0.05 39.2968 2.3051000000000004
161 16 3 1 49288 TT 3.6 25 0.4 2.45605 2.2488
162 16 3 1 49288 TT 3.6 25 0.4 9.8242 2.2592000000000003
163 16 3 1 49288 TT 3.6 25 0.4 39.2968 2.3051000000000004
164 64 1 4 56307 FF 5.0 25 0.0125 2.45605 1.6302000000000003
165 64 1 4 56307 FF 5.0 25 0.0125 9.8242 1.6383000000000003
166 64 1 4 56307 FF 5.0 25 0.0125 39.2968 1.6746
167 64 1 4 56307 FF 5.0 25 0.05 2.45605 1.6295
168 64 1 4 56307 FF 5.0 25 0.05 9.8242 1.6381
169 64 1 4 56307 FF 5.0 25 0.05 39.2968 1.6744
170 64 1 4 56307 FF 5.0 25 0.4 2.45605 1.6302000000000003
171 64 1 4 56307 FF 5.0 25 0.4 9.8242 1.6389000000000002
172 64 1 4 56307 FF 5.0 25 0.4 39.2968 1.674
173 64 1 4 56307 SS 5.0 25 0.0125 2.45605 1.7001
174 64 1 4 56307 SS 5.0 25 0.0125 9.8242 1.7103
175 64 1 4 56307 SS 5.0 25 0.0125 39.2968 1.7491000000000003
176 64 1 4 56307 SS 5.0 25 0.05 2.45605 1.7005000000000001
177 64 1 4 56307 SS 5.0 25 0.05 9.8242 1.7093
178 64 1 4 56307 SS 5.0 25 0.05 39.2968 1.7491000000000003
179 64 1 4 56307 SS 5.0 25 0.4 2.45605 1.6997
180 64 1 4 56307 SS 5.0 25 0.4 9.8242 1.7094
181 64 1 4 56307 SS 5.0 25 0.4 39.2968 1.7490000000000003
182 64 1 4 56307 TT 3.6 25 0.0125 2.45605 2.0304
183 64 1 4 56307 TT 3.6 25 0.0125 9.8242 2.0431
184 64 1 4 56307 TT 3.6 25 0.0125 39.2968 2.0968
185 64 1 4 56307 TT 3.6 25 0.05 2.45605 2.0301000000000005
186 64 1 4 56307 TT 3.6 25 0.05 9.8242 2.0428000000000006
187 64 1 4 56307 TT 3.6 25 0.05 39.2968 2.0958
188 64 1 4 56307 TT 3.6 25 0.4 2.45605 2.0293000000000005
189 64 1 4 56307 TT 3.6 25 0.4 9.8242 2.0441
190 64 1 4 56307 TT 3.6 25 0.4 39.2968 2.0968
191 32 1 2 50620 FF 5.0 25 0.0125 2.45605 1.6570000000000003
192 32 1 2 50620 FF 5.0 25 0.0125 9.8242 1.6657000000000002
193 32 1 2 50620 FF 5.0 25 0.0125 39.2968 1.7021000000000002
194 32 1 2 50620 FF 5.0 25 0.05 2.45605 1.6565000000000003
195 32 1 2 50620 FF 5.0 25 0.05 9.8242 1.6653
196 32 1 2 50620 FF 5.0 25 0.05 39.2968 1.7012
197 32 1 2 50620 FF 5.0 25 0.4 2.45605 1.6566000000000003
198 32 1 2 50620 FF 5.0 25 0.4 9.8242 1.6649
199 32 1 2 50620 FF 5.0 25 0.4 39.2968 1.7007
200 32 1 2 50620 SS 5.0 25 0.0125 2.45605 1.7273000000000003
201 32 1 2 50620 SS 5.0 25 0.0125 9.8242 1.7378000000000002
202 32 1 2 50620 SS 5.0 25 0.0125 39.2968 1.7765
203 32 1 2 50620 SS 5.0 25 0.05 2.45605 1.7264
204 32 1 2 50620 SS 5.0 25 0.05 9.8242 1.7376
205 32 1 2 50620 SS 5.0 25 0.05 39.2968 1.7772000000000001
206 32 1 2 50620 SS 5.0 25 0.4 2.45605 1.7272000000000003
207 32 1 2 50620 SS 5.0 25 0.4 9.8242 1.7377
208 32 1 2 50620 SS 5.0 25 0.4 39.2968 1.7766
209 32 1 2 50620 TT 3.6 25 0.0125 2.45605 2.0632
210 32 1 2 50620 TT 3.6 25 0.0125 9.8242 2.0767000000000007
211 32 1 2 50620 TT 3.6 25 0.0125 39.2968 2.1305
212 32 1 2 50620 TT 3.6 25 0.05 2.45605 2.0621
213 32 1 2 50620 TT 3.6 25 0.05 9.8242 2.0756
214 32 1 2 50620 TT 3.6 25 0.05 39.2968 2.1304
215 32 1 2 50620 TT 3.6 25 0.4 2.45605 2.0626
216 32 1 2 50620 TT 3.6 25 0.4 9.8242 2.0747000000000004
217 32 1 2 50620 TT 3.6 25 0.4 39.2968 2.129
218 16 4 1 51796 FF 5.0 25 0.0125 2.45605 1.8218000000000003
219 16 4 1 51796 FF 5.0 25 0.0125 9.8242 1.8282000000000003
220 16 4 1 51796 FF 5.0 25 0.0125 39.2968 1.8565000000000003
221 16 4 1 51796 FF 5.0 25 0.05 2.45605 1.8219
222 16 4 1 51796 FF 5.0 25 0.05 9.8242 1.829
223 16 4 1 51796 FF 5.0 25 0.05 39.2968 1.8567000000000002
224 16 4 1 51796 FF 5.0 25 0.4 2.45605 1.8197000000000003
225 16 4 1 51796 FF 5.0 25 0.4 9.8242 1.827
226 16 4 1 51796 FF 5.0 25 0.4 39.2968 1.8559
227 16 4 1 51796 SS 5.0 25 0.0125 2.45605 1.8981
228 16 4 1 51796 SS 5.0 25 0.0125 9.8242 1.9056000000000002
229 16 4 1 51796 SS 5.0 25 0.0125 39.2968 1.9388000000000003
230 16 4 1 51796 SS 5.0 25 0.05 2.45605 1.8991000000000002
231 16 4 1 51796 SS 5.0 25 0.05 9.8242 1.9061
232 16 4 1 51796 SS 5.0 25 0.05 39.2968 1.9387000000000003
233 16 4 1 51796 SS 5.0 25 0.4 2.45605 1.8991000000000002
234 16 4 1 51796 SS 5.0 25 0.4 9.8242 1.9077
235 16 4 1 51796 SS 5.0 25 0.4 39.2968 1.9395000000000002
236 16 4 1 51796 TT 5.0 25 0.0125 2.45605 1.8666000000000003
237 16 4 1 51796 TT 5.0 25 0.0125 9.8242 1.873
238 16 4 1 51796 TT 5.0 25 0.0125 39.2968 1.9037
239 16 4 1 51796 TT 5.0 25 0.05 2.45605 1.8657
240 16 4 1 51796 TT 5.0 25 0.05 9.8242 1.8727
241 16 4 1 51796 TT 5.0 25 0.05 39.2968 1.9036
242 16 4 1 51796 TT 5.0 25 0.4 2.45605 1.8673
243 16 4 1 51796 TT 5.0 25 0.4 9.8242 1.8746
244 16 4 1 51796 TT 5.0 25 0.4 39.2968 1.9043

View File

@ -1,244 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,leakage_power
16,2,1,46853,FF,5.0,25,0.0125,2.45605,0.0009555021000000003
16,2,1,46853,FF,5.0,25,0.0125,9.8242,0.0009555021000000003
16,2,1,46853,FF,5.0,25,0.0125,39.2968,0.0009555021000000003
16,2,1,46853,FF,5.0,25,0.05,2.45605,0.0009555021000000003
16,2,1,46853,FF,5.0,25,0.05,9.8242,0.0009555021000000003
16,2,1,46853,FF,5.0,25,0.05,39.2968,0.0009555021000000003
16,2,1,46853,FF,5.0,25,0.4,2.45605,0.0009555021000000003
16,2,1,46853,FF,5.0,25,0.4,9.8242,0.0009555021000000003
16,2,1,46853,FF,5.0,25,0.4,39.2968,0.0009555021000000003
16,2,1,46853,SS,5.0,25,0.0125,2.45605,0.0009555021000000003
16,2,1,46853,SS,5.0,25,0.0125,9.8242,0.0009555021000000003
16,2,1,46853,SS,5.0,25,0.0125,39.2968,0.0009555021000000003
16,2,1,46853,SS,5.0,25,0.05,2.45605,0.0009555021000000003
16,2,1,46853,SS,5.0,25,0.05,9.8242,0.0009555021000000003
16,2,1,46853,SS,5.0,25,0.05,39.2968,0.0009555021000000003
16,2,1,46853,SS,5.0,25,0.4,2.45605,0.0009555021000000003
16,2,1,46853,SS,5.0,25,0.4,9.8242,0.0009555021000000003
16,2,1,46853,SS,5.0,25,0.4,39.2968,0.0009555021000000003
16,2,1,46853,TT,3.6,25,0.0125,2.45605,0.0009555021000000003
16,2,1,46853,TT,3.6,25,0.0125,9.8242,0.0009555021000000003
16,2,1,46853,TT,3.6,25,0.0125,39.2968,0.0009555021000000003
16,2,1,46853,TT,3.6,25,0.05,2.45605,0.0009555021000000003
16,2,1,46853,TT,3.6,25,0.05,9.8242,0.0009555021000000003
16,2,1,46853,TT,3.6,25,0.05,39.2968,0.0009555021000000003
16,2,1,46853,TT,3.6,25,0.4,2.45605,0.0009555021000000003
16,2,1,46853,TT,3.6,25,0.4,9.8242,0.0009555021000000003
16,2,1,46853,TT,3.6,25,0.4,39.2968,0.0009555021000000003
64,2,4,66821,FF,5.0,25,0.0125,2.45605,0.0011742999999999999
64,2,4,66821,FF,5.0,25,0.0125,9.8242,0.0011742999999999999
64,2,4,66821,FF,5.0,25,0.0125,39.2968,0.0011742999999999999
64,2,4,66821,FF,5.0,25,0.05,2.45605,0.0011742999999999999
64,2,4,66821,FF,5.0,25,0.05,9.8242,0.0011742999999999999
64,2,4,66821,FF,5.0,25,0.05,39.2968,0.0011742999999999999
64,2,4,66821,FF,5.0,25,0.4,2.45605,0.0011742999999999999
64,2,4,66821,FF,5.0,25,0.4,9.8242,0.0011742999999999999
64,2,4,66821,FF,5.0,25,0.4,39.2968,0.0011742999999999999
64,2,4,66821,SS,5.0,25,0.0125,2.45605,0.0011742999999999999
64,2,4,66821,SS,5.0,25,0.0125,9.8242,0.0011742999999999999
64,2,4,66821,SS,5.0,25,0.0125,39.2968,0.0011742999999999999
64,2,4,66821,SS,5.0,25,0.05,2.45605,0.0011742999999999999
64,2,4,66821,SS,5.0,25,0.05,9.8242,0.0011742999999999999
64,2,4,66821,SS,5.0,25,0.05,39.2968,0.0011742999999999999
64,2,4,66821,SS,5.0,25,0.4,2.45605,0.0011742999999999999
64,2,4,66821,SS,5.0,25,0.4,9.8242,0.0011742999999999999
64,2,4,66821,SS,5.0,25,0.4,39.2968,0.0011742999999999999
64,2,4,66821,TT,3.6,25,0.0125,2.45605,0.0011742999999999999
64,2,4,66821,TT,3.6,25,0.0125,9.8242,0.0011742999999999999
64,2,4,66821,TT,3.6,25,0.0125,39.2968,0.0011742999999999999
64,2,4,66821,TT,3.6,25,0.05,2.45605,0.0011742999999999999
64,2,4,66821,TT,3.6,25,0.05,9.8242,0.0011742999999999999
64,2,4,66821,TT,3.6,25,0.05,39.2968,0.0011742999999999999
64,2,4,66821,TT,3.6,25,0.4,2.45605,0.0011742999999999999
64,2,4,66821,TT,3.6,25,0.4,9.8242,0.0011742999999999999
64,2,4,66821,TT,3.6,25,0.4,39.2968,0.0011742999999999999
16,1,1,44918,FF,5.0,25,0.0125,2.45605,0.0005716487
16,1,1,44918,FF,5.0,25,0.0125,9.8242,0.0005716487
16,1,1,44918,FF,5.0,25,0.0125,39.2968,0.0005716487
16,1,1,44918,FF,5.0,25,0.05,2.45605,0.0005716487
16,1,1,44918,FF,5.0,25,0.05,9.8242,0.0005716487
16,1,1,44918,FF,5.0,25,0.05,39.2968,0.0005716487
16,1,1,44918,FF,5.0,25,0.4,2.45605,0.0005716487
16,1,1,44918,FF,5.0,25,0.4,9.8242,0.0005716487
16,1,1,44918,FF,5.0,25,0.4,39.2968,0.0005716487
16,1,1,44918,SS,5.0,25,0.0125,2.45605,0.0005716487
16,1,1,44918,SS,5.0,25,0.0125,9.8242,0.0005716487
16,1,1,44918,SS,5.0,25,0.0125,39.2968,0.0005716487
16,1,1,44918,SS,5.0,25,0.05,2.45605,0.0005716487
16,1,1,44918,SS,5.0,25,0.05,9.8242,0.0005716487
16,1,1,44918,SS,5.0,25,0.05,39.2968,0.0005716487
16,1,1,44918,SS,5.0,25,0.4,2.45605,0.0005716487
16,1,1,44918,SS,5.0,25,0.4,9.8242,0.0005716487
16,1,1,44918,SS,5.0,25,0.4,39.2968,0.0005716487
16,1,1,44918,TT,3.6,25,0.0125,2.45605,0.0005716487
16,1,1,44918,TT,3.6,25,0.0125,9.8242,0.0005716487
16,1,1,44918,TT,3.6,25,0.0125,39.2968,0.0005716487
16,1,1,44918,TT,3.6,25,0.05,2.45605,0.0005716487
16,1,1,44918,TT,3.6,25,0.05,9.8242,0.0005716487
16,1,1,44918,TT,3.6,25,0.05,39.2968,0.0005716487
16,1,1,44918,TT,3.6,25,0.4,2.45605,0.0005716487
16,1,1,44918,TT,3.6,25,0.4,9.8242,0.0005716487
16,1,1,44918,TT,3.6,25,0.4,39.2968,0.0005716487
32,3,2,61533,FF,5.0,25,0.0125,2.45605,0.0012508
32,3,2,61533,FF,5.0,25,0.0125,9.8242,0.0012508
32,3,2,61533,FF,5.0,25,0.0125,39.2968,0.0012508
32,3,2,61533,FF,5.0,25,0.05,2.45605,0.0012508
32,3,2,61533,FF,5.0,25,0.05,9.8242,0.0012508
32,3,2,61533,FF,5.0,25,0.05,39.2968,0.0012508
32,3,2,61533,FF,5.0,25,0.4,2.45605,0.0012508
32,3,2,61533,FF,5.0,25,0.4,9.8242,0.0012508
32,3,2,61533,FF,5.0,25,0.4,39.2968,0.0012508
32,3,2,61533,SS,5.0,25,0.0125,2.45605,0.0012508
32,3,2,61533,SS,5.0,25,0.0125,9.8242,0.0012508
32,3,2,61533,SS,5.0,25,0.0125,39.2968,0.0012508
32,3,2,61533,SS,5.0,25,0.05,2.45605,0.0012508
32,3,2,61533,SS,5.0,25,0.05,9.8242,0.0012508
32,3,2,61533,SS,5.0,25,0.05,39.2968,0.0012508
32,3,2,61533,SS,5.0,25,0.4,2.45605,0.0012508
32,3,2,61533,SS,5.0,25,0.4,9.8242,0.0012508
32,3,2,61533,SS,5.0,25,0.4,39.2968,0.0012508
32,3,2,61533,TT,3.6,25,0.0125,2.45605,0.0012508
32,3,2,61533,TT,3.6,25,0.0125,9.8242,0.0012508
32,3,2,61533,TT,3.6,25,0.0125,39.2968,0.0012508
32,3,2,61533,TT,3.6,25,0.05,2.45605,0.0012508
32,3,2,61533,TT,3.6,25,0.05,9.8242,0.0012508
32,3,2,61533,TT,3.6,25,0.05,39.2968,0.0012508
32,3,2,61533,TT,3.6,25,0.4,2.45605,0.0012508
32,3,2,61533,TT,3.6,25,0.4,9.8242,0.0012508
32,3,2,61533,TT,3.6,25,0.4,39.2968,0.0012508
32,2,2,55960,FF,5.0,25,0.0125,2.45605,0.0008144367999999999
32,2,2,55960,FF,5.0,25,0.0125,9.8242,0.0008144367999999999
32,2,2,55960,FF,5.0,25,0.0125,39.2968,0.0008144367999999999
32,2,2,55960,FF,5.0,25,0.05,2.45605,0.0008144367999999999
32,2,2,55960,FF,5.0,25,0.05,9.8242,0.0008144367999999999
32,2,2,55960,FF,5.0,25,0.05,39.2968,0.0008144367999999999
32,2,2,55960,FF,5.0,25,0.4,2.45605,0.0008144367999999999
32,2,2,55960,FF,5.0,25,0.4,9.8242,0.0008144367999999999
32,2,2,55960,FF,5.0,25,0.4,39.2968,0.0008144367999999999
32,2,2,55960,SS,5.0,25,0.0125,2.45605,0.0008144367999999999
32,2,2,55960,SS,5.0,25,0.0125,9.8242,0.0008144367999999999
32,2,2,55960,SS,5.0,25,0.0125,39.2968,0.0008144367999999999
32,2,2,55960,SS,5.0,25,0.05,2.45605,0.0008144367999999999
32,2,2,55960,SS,5.0,25,0.05,9.8242,0.0008144367999999999
32,2,2,55960,SS,5.0,25,0.05,39.2968,0.0008144367999999999
32,2,2,55960,SS,5.0,25,0.4,2.45605,0.0008144367999999999
32,2,2,55960,SS,5.0,25,0.4,9.8242,0.0008144367999999999
32,2,2,55960,SS,5.0,25,0.4,39.2968,0.0008144367999999999
32,2,2,55960,TT,3.6,25,0.0125,2.45605,0.0008144367999999999
32,2,2,55960,TT,3.6,25,0.0125,9.8242,0.0008144367999999999
32,2,2,55960,TT,3.6,25,0.0125,39.2968,0.0008144367999999999
32,2,2,55960,TT,3.6,25,0.05,2.45605,0.0008144367999999999
32,2,2,55960,TT,3.6,25,0.05,9.8242,0.0008144367999999999
32,2,2,55960,TT,3.6,25,0.05,39.2968,0.0008144367999999999
32,2,2,55960,TT,3.6,25,0.4,2.45605,0.0008144367999999999
32,2,2,55960,TT,3.6,25,0.4,9.8242,0.0008144367999999999
32,2,2,55960,TT,3.6,25,0.4,39.2968,0.0008144367999999999
16,3,1,49288,FF,5.0,25,0.0125,2.45605,0.0010107999999999998
16,3,1,49288,FF,5.0,25,0.0125,9.8242,0.0010107999999999998
16,3,1,49288,FF,5.0,25,0.0125,39.2968,0.0010107999999999998
16,3,1,49288,FF,5.0,25,0.05,2.45605,0.0010107999999999998
16,3,1,49288,FF,5.0,25,0.05,9.8242,0.0010107999999999998
16,3,1,49288,FF,5.0,25,0.05,39.2968,0.0010107999999999998
16,3,1,49288,FF,5.0,25,0.4,2.45605,0.0010107999999999998
16,3,1,49288,FF,5.0,25,0.4,9.8242,0.0010107999999999998
16,3,1,49288,FF,5.0,25,0.4,39.2968,0.0010107999999999998
16,3,1,49288,SS,5.0,25,0.0125,2.45605,0.0010107999999999998
16,3,1,49288,SS,5.0,25,0.0125,9.8242,0.0010107999999999998
16,3,1,49288,SS,5.0,25,0.0125,39.2968,0.0010107999999999998
16,3,1,49288,SS,5.0,25,0.05,2.45605,0.0010107999999999998
16,3,1,49288,SS,5.0,25,0.05,9.8242,0.0010107999999999998
16,3,1,49288,SS,5.0,25,0.05,39.2968,0.0010107999999999998
16,3,1,49288,SS,5.0,25,0.4,2.45605,0.0010107999999999998
16,3,1,49288,SS,5.0,25,0.4,9.8242,0.0010107999999999998
16,3,1,49288,SS,5.0,25,0.4,39.2968,0.0010107999999999998
16,3,1,49288,TT,3.6,25,0.0125,2.45605,0.0010107999999999998
16,3,1,49288,TT,3.6,25,0.0125,9.8242,0.0010107999999999998
16,3,1,49288,TT,3.6,25,0.0125,39.2968,0.0010107999999999998
16,3,1,49288,TT,3.6,25,0.05,2.45605,0.0010107999999999998
16,3,1,49288,TT,3.6,25,0.05,9.8242,0.0010107999999999998
16,3,1,49288,TT,3.6,25,0.05,39.2968,0.0010107999999999998
16,3,1,49288,TT,3.6,25,0.4,2.45605,0.0010107999999999998
16,3,1,49288,TT,3.6,25,0.4,9.8242,0.0010107999999999998
16,3,1,49288,TT,3.6,25,0.4,39.2968,0.0010107999999999998
64,1,4,56307,FF,5.0,25,0.0125,2.45605,0.0007435572
64,1,4,56307,FF,5.0,25,0.0125,9.8242,0.0007435572
64,1,4,56307,FF,5.0,25,0.0125,39.2968,0.0007435572
64,1,4,56307,FF,5.0,25,0.05,2.45605,0.0007435572
64,1,4,56307,FF,5.0,25,0.05,9.8242,0.0007435572
64,1,4,56307,FF,5.0,25,0.05,39.2968,0.0007435572
64,1,4,56307,FF,5.0,25,0.4,2.45605,0.0007435572
64,1,4,56307,FF,5.0,25,0.4,9.8242,0.0007435572
64,1,4,56307,FF,5.0,25,0.4,39.2968,0.0007435572
64,1,4,56307,SS,5.0,25,0.0125,2.45605,0.0007435572
64,1,4,56307,SS,5.0,25,0.0125,9.8242,0.0007435572
64,1,4,56307,SS,5.0,25,0.0125,39.2968,0.0007435572
64,1,4,56307,SS,5.0,25,0.05,2.45605,0.0007435572
64,1,4,56307,SS,5.0,25,0.05,9.8242,0.0007435572
64,1,4,56307,SS,5.0,25,0.05,39.2968,0.0007435572
64,1,4,56307,SS,5.0,25,0.4,2.45605,0.0007435572
64,1,4,56307,SS,5.0,25,0.4,9.8242,0.0007435572
64,1,4,56307,SS,5.0,25,0.4,39.2968,0.0007435572
64,1,4,56307,TT,3.6,25,0.0125,2.45605,0.0007435572
64,1,4,56307,TT,3.6,25,0.0125,9.8242,0.0007435572
64,1,4,56307,TT,3.6,25,0.0125,39.2968,0.0007435572
64,1,4,56307,TT,3.6,25,0.05,2.45605,0.0007435572
64,1,4,56307,TT,3.6,25,0.05,9.8242,0.0007435572
64,1,4,56307,TT,3.6,25,0.05,39.2968,0.0007435572
64,1,4,56307,TT,3.6,25,0.4,2.45605,0.0007435572
64,1,4,56307,TT,3.6,25,0.4,9.8242,0.0007435572
64,1,4,56307,TT,3.6,25,0.4,39.2968,0.0007435572
32,1,2,50620,FF,5.0,25,0.0125,2.45605,0.0006927326
32,1,2,50620,FF,5.0,25,0.0125,9.8242,0.0006927326
32,1,2,50620,FF,5.0,25,0.0125,39.2968,0.0006927326
32,1,2,50620,FF,5.0,25,0.05,2.45605,0.0006927326
32,1,2,50620,FF,5.0,25,0.05,9.8242,0.0006927326
32,1,2,50620,FF,5.0,25,0.05,39.2968,0.0006927326
32,1,2,50620,FF,5.0,25,0.4,2.45605,0.0006927326
32,1,2,50620,FF,5.0,25,0.4,9.8242,0.0006927326
32,1,2,50620,FF,5.0,25,0.4,39.2968,0.0006927326
32,1,2,50620,SS,5.0,25,0.0125,2.45605,0.0006927326
32,1,2,50620,SS,5.0,25,0.0125,9.8242,0.0006927326
32,1,2,50620,SS,5.0,25,0.0125,39.2968,0.0006927326
32,1,2,50620,SS,5.0,25,0.05,2.45605,0.0006927326
32,1,2,50620,SS,5.0,25,0.05,9.8242,0.0006927326
32,1,2,50620,SS,5.0,25,0.05,39.2968,0.0006927326
32,1,2,50620,SS,5.0,25,0.4,2.45605,0.0006927326
32,1,2,50620,SS,5.0,25,0.4,9.8242,0.0006927326
32,1,2,50620,SS,5.0,25,0.4,39.2968,0.0006927326
32,1,2,50620,TT,3.6,25,0.0125,2.45605,0.0006927326
32,1,2,50620,TT,3.6,25,0.0125,9.8242,0.0006927326
32,1,2,50620,TT,3.6,25,0.0125,39.2968,0.0006927326
32,1,2,50620,TT,3.6,25,0.05,2.45605,0.0006927326
32,1,2,50620,TT,3.6,25,0.05,9.8242,0.0006927326
32,1,2,50620,TT,3.6,25,0.05,39.2968,0.0006927326
32,1,2,50620,TT,3.6,25,0.4,2.45605,0.0006927326
32,1,2,50620,TT,3.6,25,0.4,9.8242,0.0006927326
32,1,2,50620,TT,3.6,25,0.4,39.2968,0.0006927326
16,4,1,51796,FF,5.0,25,0.0125,2.45605,0.0008160818
16,4,1,51796,FF,5.0,25,0.0125,9.8242,0.0008160818
16,4,1,51796,FF,5.0,25,0.0125,39.2968,0.0008160818
16,4,1,51796,FF,5.0,25,0.05,2.45605,0.0008160818
16,4,1,51796,FF,5.0,25,0.05,9.8242,0.0008160818
16,4,1,51796,FF,5.0,25,0.05,39.2968,0.0008160818
16,4,1,51796,FF,5.0,25,0.4,2.45605,0.0008160818
16,4,1,51796,FF,5.0,25,0.4,9.8242,0.0008160818
16,4,1,51796,FF,5.0,25,0.4,39.2968,0.0008160818
16,4,1,51796,SS,5.0,25,0.0125,2.45605,0.0008160818
16,4,1,51796,SS,5.0,25,0.0125,9.8242,0.0008160818
16,4,1,51796,SS,5.0,25,0.0125,39.2968,0.0008160818
16,4,1,51796,SS,5.0,25,0.05,2.45605,0.0008160818
16,4,1,51796,SS,5.0,25,0.05,9.8242,0.0008160818
16,4,1,51796,SS,5.0,25,0.05,39.2968,0.0008160818
16,4,1,51796,SS,5.0,25,0.4,2.45605,0.0008160818
16,4,1,51796,SS,5.0,25,0.4,9.8242,0.0008160818
16,4,1,51796,SS,5.0,25,0.4,39.2968,0.0008160818
16,4,1,51796,TT,5.0,25,0.0125,2.45605,0.0008160818
16,4,1,51796,TT,5.0,25,0.0125,9.8242,0.0008160818
16,4,1,51796,TT,5.0,25,0.0125,39.2968,0.0008160818
16,4,1,51796,TT,5.0,25,0.05,2.45605,0.0008160818
16,4,1,51796,TT,5.0,25,0.05,9.8242,0.0008160818
16,4,1,51796,TT,5.0,25,0.05,39.2968,0.0008160818
16,4,1,51796,TT,5.0,25,0.4,2.45605,0.0008160818
16,4,1,51796,TT,5.0,25,0.4,9.8242,0.0008160818
16,4,1,51796,TT,5.0,25,0.4,39.2968,0.0008160818
1 num_words word_size words_per_row area process voltage temperature slew load leakage_power
2 16 2 1 46853 FF 5.0 25 0.0125 2.45605 0.0009555021000000003
3 16 2 1 46853 FF 5.0 25 0.0125 9.8242 0.0009555021000000003
4 16 2 1 46853 FF 5.0 25 0.0125 39.2968 0.0009555021000000003
5 16 2 1 46853 FF 5.0 25 0.05 2.45605 0.0009555021000000003
6 16 2 1 46853 FF 5.0 25 0.05 9.8242 0.0009555021000000003
7 16 2 1 46853 FF 5.0 25 0.05 39.2968 0.0009555021000000003
8 16 2 1 46853 FF 5.0 25 0.4 2.45605 0.0009555021000000003
9 16 2 1 46853 FF 5.0 25 0.4 9.8242 0.0009555021000000003
10 16 2 1 46853 FF 5.0 25 0.4 39.2968 0.0009555021000000003
11 16 2 1 46853 SS 5.0 25 0.0125 2.45605 0.0009555021000000003
12 16 2 1 46853 SS 5.0 25 0.0125 9.8242 0.0009555021000000003
13 16 2 1 46853 SS 5.0 25 0.0125 39.2968 0.0009555021000000003
14 16 2 1 46853 SS 5.0 25 0.05 2.45605 0.0009555021000000003
15 16 2 1 46853 SS 5.0 25 0.05 9.8242 0.0009555021000000003
16 16 2 1 46853 SS 5.0 25 0.05 39.2968 0.0009555021000000003
17 16 2 1 46853 SS 5.0 25 0.4 2.45605 0.0009555021000000003
18 16 2 1 46853 SS 5.0 25 0.4 9.8242 0.0009555021000000003
19 16 2 1 46853 SS 5.0 25 0.4 39.2968 0.0009555021000000003
20 16 2 1 46853 TT 3.6 25 0.0125 2.45605 0.0009555021000000003
21 16 2 1 46853 TT 3.6 25 0.0125 9.8242 0.0009555021000000003
22 16 2 1 46853 TT 3.6 25 0.0125 39.2968 0.0009555021000000003
23 16 2 1 46853 TT 3.6 25 0.05 2.45605 0.0009555021000000003
24 16 2 1 46853 TT 3.6 25 0.05 9.8242 0.0009555021000000003
25 16 2 1 46853 TT 3.6 25 0.05 39.2968 0.0009555021000000003
26 16 2 1 46853 TT 3.6 25 0.4 2.45605 0.0009555021000000003
27 16 2 1 46853 TT 3.6 25 0.4 9.8242 0.0009555021000000003
28 16 2 1 46853 TT 3.6 25 0.4 39.2968 0.0009555021000000003
29 64 2 4 66821 FF 5.0 25 0.0125 2.45605 0.0011742999999999999
30 64 2 4 66821 FF 5.0 25 0.0125 9.8242 0.0011742999999999999
31 64 2 4 66821 FF 5.0 25 0.0125 39.2968 0.0011742999999999999
32 64 2 4 66821 FF 5.0 25 0.05 2.45605 0.0011742999999999999
33 64 2 4 66821 FF 5.0 25 0.05 9.8242 0.0011742999999999999
34 64 2 4 66821 FF 5.0 25 0.05 39.2968 0.0011742999999999999
35 64 2 4 66821 FF 5.0 25 0.4 2.45605 0.0011742999999999999
36 64 2 4 66821 FF 5.0 25 0.4 9.8242 0.0011742999999999999
37 64 2 4 66821 FF 5.0 25 0.4 39.2968 0.0011742999999999999
38 64 2 4 66821 SS 5.0 25 0.0125 2.45605 0.0011742999999999999
39 64 2 4 66821 SS 5.0 25 0.0125 9.8242 0.0011742999999999999
40 64 2 4 66821 SS 5.0 25 0.0125 39.2968 0.0011742999999999999
41 64 2 4 66821 SS 5.0 25 0.05 2.45605 0.0011742999999999999
42 64 2 4 66821 SS 5.0 25 0.05 9.8242 0.0011742999999999999
43 64 2 4 66821 SS 5.0 25 0.05 39.2968 0.0011742999999999999
44 64 2 4 66821 SS 5.0 25 0.4 2.45605 0.0011742999999999999
45 64 2 4 66821 SS 5.0 25 0.4 9.8242 0.0011742999999999999
46 64 2 4 66821 SS 5.0 25 0.4 39.2968 0.0011742999999999999
47 64 2 4 66821 TT 3.6 25 0.0125 2.45605 0.0011742999999999999
48 64 2 4 66821 TT 3.6 25 0.0125 9.8242 0.0011742999999999999
49 64 2 4 66821 TT 3.6 25 0.0125 39.2968 0.0011742999999999999
50 64 2 4 66821 TT 3.6 25 0.05 2.45605 0.0011742999999999999
51 64 2 4 66821 TT 3.6 25 0.05 9.8242 0.0011742999999999999
52 64 2 4 66821 TT 3.6 25 0.05 39.2968 0.0011742999999999999
53 64 2 4 66821 TT 3.6 25 0.4 2.45605 0.0011742999999999999
54 64 2 4 66821 TT 3.6 25 0.4 9.8242 0.0011742999999999999
55 64 2 4 66821 TT 3.6 25 0.4 39.2968 0.0011742999999999999
56 16 1 1 44918 FF 5.0 25 0.0125 2.45605 0.0005716487
57 16 1 1 44918 FF 5.0 25 0.0125 9.8242 0.0005716487
58 16 1 1 44918 FF 5.0 25 0.0125 39.2968 0.0005716487
59 16 1 1 44918 FF 5.0 25 0.05 2.45605 0.0005716487
60 16 1 1 44918 FF 5.0 25 0.05 9.8242 0.0005716487
61 16 1 1 44918 FF 5.0 25 0.05 39.2968 0.0005716487
62 16 1 1 44918 FF 5.0 25 0.4 2.45605 0.0005716487
63 16 1 1 44918 FF 5.0 25 0.4 9.8242 0.0005716487
64 16 1 1 44918 FF 5.0 25 0.4 39.2968 0.0005716487
65 16 1 1 44918 SS 5.0 25 0.0125 2.45605 0.0005716487
66 16 1 1 44918 SS 5.0 25 0.0125 9.8242 0.0005716487
67 16 1 1 44918 SS 5.0 25 0.0125 39.2968 0.0005716487
68 16 1 1 44918 SS 5.0 25 0.05 2.45605 0.0005716487
69 16 1 1 44918 SS 5.0 25 0.05 9.8242 0.0005716487
70 16 1 1 44918 SS 5.0 25 0.05 39.2968 0.0005716487
71 16 1 1 44918 SS 5.0 25 0.4 2.45605 0.0005716487
72 16 1 1 44918 SS 5.0 25 0.4 9.8242 0.0005716487
73 16 1 1 44918 SS 5.0 25 0.4 39.2968 0.0005716487
74 16 1 1 44918 TT 3.6 25 0.0125 2.45605 0.0005716487
75 16 1 1 44918 TT 3.6 25 0.0125 9.8242 0.0005716487
76 16 1 1 44918 TT 3.6 25 0.0125 39.2968 0.0005716487
77 16 1 1 44918 TT 3.6 25 0.05 2.45605 0.0005716487
78 16 1 1 44918 TT 3.6 25 0.05 9.8242 0.0005716487
79 16 1 1 44918 TT 3.6 25 0.05 39.2968 0.0005716487
80 16 1 1 44918 TT 3.6 25 0.4 2.45605 0.0005716487
81 16 1 1 44918 TT 3.6 25 0.4 9.8242 0.0005716487
82 16 1 1 44918 TT 3.6 25 0.4 39.2968 0.0005716487
83 32 3 2 61533 FF 5.0 25 0.0125 2.45605 0.0012508
84 32 3 2 61533 FF 5.0 25 0.0125 9.8242 0.0012508
85 32 3 2 61533 FF 5.0 25 0.0125 39.2968 0.0012508
86 32 3 2 61533 FF 5.0 25 0.05 2.45605 0.0012508
87 32 3 2 61533 FF 5.0 25 0.05 9.8242 0.0012508
88 32 3 2 61533 FF 5.0 25 0.05 39.2968 0.0012508
89 32 3 2 61533 FF 5.0 25 0.4 2.45605 0.0012508
90 32 3 2 61533 FF 5.0 25 0.4 9.8242 0.0012508
91 32 3 2 61533 FF 5.0 25 0.4 39.2968 0.0012508
92 32 3 2 61533 SS 5.0 25 0.0125 2.45605 0.0012508
93 32 3 2 61533 SS 5.0 25 0.0125 9.8242 0.0012508
94 32 3 2 61533 SS 5.0 25 0.0125 39.2968 0.0012508
95 32 3 2 61533 SS 5.0 25 0.05 2.45605 0.0012508
96 32 3 2 61533 SS 5.0 25 0.05 9.8242 0.0012508
97 32 3 2 61533 SS 5.0 25 0.05 39.2968 0.0012508
98 32 3 2 61533 SS 5.0 25 0.4 2.45605 0.0012508
99 32 3 2 61533 SS 5.0 25 0.4 9.8242 0.0012508
100 32 3 2 61533 SS 5.0 25 0.4 39.2968 0.0012508
101 32 3 2 61533 TT 3.6 25 0.0125 2.45605 0.0012508
102 32 3 2 61533 TT 3.6 25 0.0125 9.8242 0.0012508
103 32 3 2 61533 TT 3.6 25 0.0125 39.2968 0.0012508
104 32 3 2 61533 TT 3.6 25 0.05 2.45605 0.0012508
105 32 3 2 61533 TT 3.6 25 0.05 9.8242 0.0012508
106 32 3 2 61533 TT 3.6 25 0.05 39.2968 0.0012508
107 32 3 2 61533 TT 3.6 25 0.4 2.45605 0.0012508
108 32 3 2 61533 TT 3.6 25 0.4 9.8242 0.0012508
109 32 3 2 61533 TT 3.6 25 0.4 39.2968 0.0012508
110 32 2 2 55960 FF 5.0 25 0.0125 2.45605 0.0008144367999999999
111 32 2 2 55960 FF 5.0 25 0.0125 9.8242 0.0008144367999999999
112 32 2 2 55960 FF 5.0 25 0.0125 39.2968 0.0008144367999999999
113 32 2 2 55960 FF 5.0 25 0.05 2.45605 0.0008144367999999999
114 32 2 2 55960 FF 5.0 25 0.05 9.8242 0.0008144367999999999
115 32 2 2 55960 FF 5.0 25 0.05 39.2968 0.0008144367999999999
116 32 2 2 55960 FF 5.0 25 0.4 2.45605 0.0008144367999999999
117 32 2 2 55960 FF 5.0 25 0.4 9.8242 0.0008144367999999999
118 32 2 2 55960 FF 5.0 25 0.4 39.2968 0.0008144367999999999
119 32 2 2 55960 SS 5.0 25 0.0125 2.45605 0.0008144367999999999
120 32 2 2 55960 SS 5.0 25 0.0125 9.8242 0.0008144367999999999
121 32 2 2 55960 SS 5.0 25 0.0125 39.2968 0.0008144367999999999
122 32 2 2 55960 SS 5.0 25 0.05 2.45605 0.0008144367999999999
123 32 2 2 55960 SS 5.0 25 0.05 9.8242 0.0008144367999999999
124 32 2 2 55960 SS 5.0 25 0.05 39.2968 0.0008144367999999999
125 32 2 2 55960 SS 5.0 25 0.4 2.45605 0.0008144367999999999
126 32 2 2 55960 SS 5.0 25 0.4 9.8242 0.0008144367999999999
127 32 2 2 55960 SS 5.0 25 0.4 39.2968 0.0008144367999999999
128 32 2 2 55960 TT 3.6 25 0.0125 2.45605 0.0008144367999999999
129 32 2 2 55960 TT 3.6 25 0.0125 9.8242 0.0008144367999999999
130 32 2 2 55960 TT 3.6 25 0.0125 39.2968 0.0008144367999999999
131 32 2 2 55960 TT 3.6 25 0.05 2.45605 0.0008144367999999999
132 32 2 2 55960 TT 3.6 25 0.05 9.8242 0.0008144367999999999
133 32 2 2 55960 TT 3.6 25 0.05 39.2968 0.0008144367999999999
134 32 2 2 55960 TT 3.6 25 0.4 2.45605 0.0008144367999999999
135 32 2 2 55960 TT 3.6 25 0.4 9.8242 0.0008144367999999999
136 32 2 2 55960 TT 3.6 25 0.4 39.2968 0.0008144367999999999
137 16 3 1 49288 FF 5.0 25 0.0125 2.45605 0.0010107999999999998
138 16 3 1 49288 FF 5.0 25 0.0125 9.8242 0.0010107999999999998
139 16 3 1 49288 FF 5.0 25 0.0125 39.2968 0.0010107999999999998
140 16 3 1 49288 FF 5.0 25 0.05 2.45605 0.0010107999999999998
141 16 3 1 49288 FF 5.0 25 0.05 9.8242 0.0010107999999999998
142 16 3 1 49288 FF 5.0 25 0.05 39.2968 0.0010107999999999998
143 16 3 1 49288 FF 5.0 25 0.4 2.45605 0.0010107999999999998
144 16 3 1 49288 FF 5.0 25 0.4 9.8242 0.0010107999999999998
145 16 3 1 49288 FF 5.0 25 0.4 39.2968 0.0010107999999999998
146 16 3 1 49288 SS 5.0 25 0.0125 2.45605 0.0010107999999999998
147 16 3 1 49288 SS 5.0 25 0.0125 9.8242 0.0010107999999999998
148 16 3 1 49288 SS 5.0 25 0.0125 39.2968 0.0010107999999999998
149 16 3 1 49288 SS 5.0 25 0.05 2.45605 0.0010107999999999998
150 16 3 1 49288 SS 5.0 25 0.05 9.8242 0.0010107999999999998
151 16 3 1 49288 SS 5.0 25 0.05 39.2968 0.0010107999999999998
152 16 3 1 49288 SS 5.0 25 0.4 2.45605 0.0010107999999999998
153 16 3 1 49288 SS 5.0 25 0.4 9.8242 0.0010107999999999998
154 16 3 1 49288 SS 5.0 25 0.4 39.2968 0.0010107999999999998
155 16 3 1 49288 TT 3.6 25 0.0125 2.45605 0.0010107999999999998
156 16 3 1 49288 TT 3.6 25 0.0125 9.8242 0.0010107999999999998
157 16 3 1 49288 TT 3.6 25 0.0125 39.2968 0.0010107999999999998
158 16 3 1 49288 TT 3.6 25 0.05 2.45605 0.0010107999999999998
159 16 3 1 49288 TT 3.6 25 0.05 9.8242 0.0010107999999999998
160 16 3 1 49288 TT 3.6 25 0.05 39.2968 0.0010107999999999998
161 16 3 1 49288 TT 3.6 25 0.4 2.45605 0.0010107999999999998
162 16 3 1 49288 TT 3.6 25 0.4 9.8242 0.0010107999999999998
163 16 3 1 49288 TT 3.6 25 0.4 39.2968 0.0010107999999999998
164 64 1 4 56307 FF 5.0 25 0.0125 2.45605 0.0007435572
165 64 1 4 56307 FF 5.0 25 0.0125 9.8242 0.0007435572
166 64 1 4 56307 FF 5.0 25 0.0125 39.2968 0.0007435572
167 64 1 4 56307 FF 5.0 25 0.05 2.45605 0.0007435572
168 64 1 4 56307 FF 5.0 25 0.05 9.8242 0.0007435572
169 64 1 4 56307 FF 5.0 25 0.05 39.2968 0.0007435572
170 64 1 4 56307 FF 5.0 25 0.4 2.45605 0.0007435572
171 64 1 4 56307 FF 5.0 25 0.4 9.8242 0.0007435572
172 64 1 4 56307 FF 5.0 25 0.4 39.2968 0.0007435572
173 64 1 4 56307 SS 5.0 25 0.0125 2.45605 0.0007435572
174 64 1 4 56307 SS 5.0 25 0.0125 9.8242 0.0007435572
175 64 1 4 56307 SS 5.0 25 0.0125 39.2968 0.0007435572
176 64 1 4 56307 SS 5.0 25 0.05 2.45605 0.0007435572
177 64 1 4 56307 SS 5.0 25 0.05 9.8242 0.0007435572
178 64 1 4 56307 SS 5.0 25 0.05 39.2968 0.0007435572
179 64 1 4 56307 SS 5.0 25 0.4 2.45605 0.0007435572
180 64 1 4 56307 SS 5.0 25 0.4 9.8242 0.0007435572
181 64 1 4 56307 SS 5.0 25 0.4 39.2968 0.0007435572
182 64 1 4 56307 TT 3.6 25 0.0125 2.45605 0.0007435572
183 64 1 4 56307 TT 3.6 25 0.0125 9.8242 0.0007435572
184 64 1 4 56307 TT 3.6 25 0.0125 39.2968 0.0007435572
185 64 1 4 56307 TT 3.6 25 0.05 2.45605 0.0007435572
186 64 1 4 56307 TT 3.6 25 0.05 9.8242 0.0007435572
187 64 1 4 56307 TT 3.6 25 0.05 39.2968 0.0007435572
188 64 1 4 56307 TT 3.6 25 0.4 2.45605 0.0007435572
189 64 1 4 56307 TT 3.6 25 0.4 9.8242 0.0007435572
190 64 1 4 56307 TT 3.6 25 0.4 39.2968 0.0007435572
191 32 1 2 50620 FF 5.0 25 0.0125 2.45605 0.0006927326
192 32 1 2 50620 FF 5.0 25 0.0125 9.8242 0.0006927326
193 32 1 2 50620 FF 5.0 25 0.0125 39.2968 0.0006927326
194 32 1 2 50620 FF 5.0 25 0.05 2.45605 0.0006927326
195 32 1 2 50620 FF 5.0 25 0.05 9.8242 0.0006927326
196 32 1 2 50620 FF 5.0 25 0.05 39.2968 0.0006927326
197 32 1 2 50620 FF 5.0 25 0.4 2.45605 0.0006927326
198 32 1 2 50620 FF 5.0 25 0.4 9.8242 0.0006927326
199 32 1 2 50620 FF 5.0 25 0.4 39.2968 0.0006927326
200 32 1 2 50620 SS 5.0 25 0.0125 2.45605 0.0006927326
201 32 1 2 50620 SS 5.0 25 0.0125 9.8242 0.0006927326
202 32 1 2 50620 SS 5.0 25 0.0125 39.2968 0.0006927326
203 32 1 2 50620 SS 5.0 25 0.05 2.45605 0.0006927326
204 32 1 2 50620 SS 5.0 25 0.05 9.8242 0.0006927326
205 32 1 2 50620 SS 5.0 25 0.05 39.2968 0.0006927326
206 32 1 2 50620 SS 5.0 25 0.4 2.45605 0.0006927326
207 32 1 2 50620 SS 5.0 25 0.4 9.8242 0.0006927326
208 32 1 2 50620 SS 5.0 25 0.4 39.2968 0.0006927326
209 32 1 2 50620 TT 3.6 25 0.0125 2.45605 0.0006927326
210 32 1 2 50620 TT 3.6 25 0.0125 9.8242 0.0006927326
211 32 1 2 50620 TT 3.6 25 0.0125 39.2968 0.0006927326
212 32 1 2 50620 TT 3.6 25 0.05 2.45605 0.0006927326
213 32 1 2 50620 TT 3.6 25 0.05 9.8242 0.0006927326
214 32 1 2 50620 TT 3.6 25 0.05 39.2968 0.0006927326
215 32 1 2 50620 TT 3.6 25 0.4 2.45605 0.0006927326
216 32 1 2 50620 TT 3.6 25 0.4 9.8242 0.0006927326
217 32 1 2 50620 TT 3.6 25 0.4 39.2968 0.0006927326
218 16 4 1 51796 FF 5.0 25 0.0125 2.45605 0.0008160818
219 16 4 1 51796 FF 5.0 25 0.0125 9.8242 0.0008160818
220 16 4 1 51796 FF 5.0 25 0.0125 39.2968 0.0008160818
221 16 4 1 51796 FF 5.0 25 0.05 2.45605 0.0008160818
222 16 4 1 51796 FF 5.0 25 0.05 9.8242 0.0008160818
223 16 4 1 51796 FF 5.0 25 0.05 39.2968 0.0008160818
224 16 4 1 51796 FF 5.0 25 0.4 2.45605 0.0008160818
225 16 4 1 51796 FF 5.0 25 0.4 9.8242 0.0008160818
226 16 4 1 51796 FF 5.0 25 0.4 39.2968 0.0008160818
227 16 4 1 51796 SS 5.0 25 0.0125 2.45605 0.0008160818
228 16 4 1 51796 SS 5.0 25 0.0125 9.8242 0.0008160818
229 16 4 1 51796 SS 5.0 25 0.0125 39.2968 0.0008160818
230 16 4 1 51796 SS 5.0 25 0.05 2.45605 0.0008160818
231 16 4 1 51796 SS 5.0 25 0.05 9.8242 0.0008160818
232 16 4 1 51796 SS 5.0 25 0.05 39.2968 0.0008160818
233 16 4 1 51796 SS 5.0 25 0.4 2.45605 0.0008160818
234 16 4 1 51796 SS 5.0 25 0.4 9.8242 0.0008160818
235 16 4 1 51796 SS 5.0 25 0.4 39.2968 0.0008160818
236 16 4 1 51796 TT 5.0 25 0.0125 2.45605 0.0008160818
237 16 4 1 51796 TT 5.0 25 0.0125 9.8242 0.0008160818
238 16 4 1 51796 TT 5.0 25 0.0125 39.2968 0.0008160818
239 16 4 1 51796 TT 5.0 25 0.05 2.45605 0.0008160818
240 16 4 1 51796 TT 5.0 25 0.05 9.8242 0.0008160818
241 16 4 1 51796 TT 5.0 25 0.05 39.2968 0.0008160818
242 16 4 1 51796 TT 5.0 25 0.4 2.45605 0.0008160818
243 16 4 1 51796 TT 5.0 25 0.4 9.8242 0.0008160818
244 16 4 1 51796 TT 5.0 25 0.4 39.2968 0.0008160818

View File

@ -1,244 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,read0_power
16,2,1,46853,FF,5.0,25,0.0125,2.45605,16.673055555555557
16,2,1,46853,FF,5.0,25,0.0125,9.8242,16.673055555555557
16,2,1,46853,FF,5.0,25,0.0125,39.2968,16.673055555555557
16,2,1,46853,FF,5.0,25,0.05,2.45605,16.673055555555557
16,2,1,46853,FF,5.0,25,0.05,9.8242,16.673055555555557
16,2,1,46853,FF,5.0,25,0.05,39.2968,16.673055555555557
16,2,1,46853,FF,5.0,25,0.4,2.45605,16.673055555555557
16,2,1,46853,FF,5.0,25,0.4,9.8242,16.673055555555557
16,2,1,46853,FF,5.0,25,0.4,39.2968,16.673055555555557
16,2,1,46853,SS,5.0,25,0.0125,2.45605,15.053177777777778
16,2,1,46853,SS,5.0,25,0.0125,9.8242,15.053177777777778
16,2,1,46853,SS,5.0,25,0.0125,39.2968,15.053177777777778
16,2,1,46853,SS,5.0,25,0.05,2.45605,15.053177777777778
16,2,1,46853,SS,5.0,25,0.05,9.8242,15.053177777777778
16,2,1,46853,SS,5.0,25,0.05,39.2968,15.053177777777778
16,2,1,46853,SS,5.0,25,0.4,2.45605,15.053177777777778
16,2,1,46853,SS,5.0,25,0.4,9.8242,15.053177777777778
16,2,1,46853,SS,5.0,25,0.4,39.2968,15.053177777777778
16,2,1,46853,TT,3.6,25,0.0125,2.45605,5.970400000000001
16,2,1,46853,TT,3.6,25,0.0125,9.8242,5.970400000000001
16,2,1,46853,TT,3.6,25,0.0125,39.2968,5.970400000000001
16,2,1,46853,TT,3.6,25,0.05,2.45605,5.970400000000001
16,2,1,46853,TT,3.6,25,0.05,9.8242,5.970400000000001
16,2,1,46853,TT,3.6,25,0.05,39.2968,5.970400000000001
16,2,1,46853,TT,3.6,25,0.4,2.45605,5.970400000000001
16,2,1,46853,TT,3.6,25,0.4,9.8242,5.970400000000001
16,2,1,46853,TT,3.6,25,0.4,39.2968,5.970400000000001
64,2,4,66821,FF,5.0,25,0.0125,2.45605,20.371899999999997
64,2,4,66821,FF,5.0,25,0.0125,9.8242,20.371899999999997
64,2,4,66821,FF,5.0,25,0.0125,39.2968,20.371899999999997
64,2,4,66821,FF,5.0,25,0.05,2.45605,20.371899999999997
64,2,4,66821,FF,5.0,25,0.05,9.8242,20.371899999999997
64,2,4,66821,FF,5.0,25,0.05,39.2968,20.371899999999997
64,2,4,66821,FF,5.0,25,0.4,2.45605,20.371899999999997
64,2,4,66821,FF,5.0,25,0.4,9.8242,20.371899999999997
64,2,4,66821,FF,5.0,25,0.4,39.2968,20.371899999999997
64,2,4,66821,SS,5.0,25,0.0125,2.45605,18.479366666666667
64,2,4,66821,SS,5.0,25,0.0125,9.8242,18.479366666666667
64,2,4,66821,SS,5.0,25,0.0125,39.2968,18.479366666666667
64,2,4,66821,SS,5.0,25,0.05,2.45605,18.479366666666667
64,2,4,66821,SS,5.0,25,0.05,9.8242,18.479366666666667
64,2,4,66821,SS,5.0,25,0.05,39.2968,18.479366666666667
64,2,4,66821,SS,5.0,25,0.4,2.45605,18.479366666666667
64,2,4,66821,SS,5.0,25,0.4,9.8242,18.479366666666667
64,2,4,66821,SS,5.0,25,0.4,39.2968,18.479366666666667
64,2,4,66821,TT,3.6,25,0.0125,2.45605,7.1822333333333335
64,2,4,66821,TT,3.6,25,0.0125,9.8242,7.1822333333333335
64,2,4,66821,TT,3.6,25,0.0125,39.2968,7.1822333333333335
64,2,4,66821,TT,3.6,25,0.05,2.45605,7.1822333333333335
64,2,4,66821,TT,3.6,25,0.05,9.8242,7.1822333333333335
64,2,4,66821,TT,3.6,25,0.05,39.2968,7.1822333333333335
64,2,4,66821,TT,3.6,25,0.4,2.45605,7.1822333333333335
64,2,4,66821,TT,3.6,25,0.4,9.8242,7.1822333333333335
64,2,4,66821,TT,3.6,25,0.4,39.2968,7.1822333333333335
16,1,1,44918,FF,5.0,25,0.0125,2.45605,15.602522222222225
16,1,1,44918,FF,5.0,25,0.0125,9.8242,15.602522222222225
16,1,1,44918,FF,5.0,25,0.0125,39.2968,15.602522222222225
16,1,1,44918,FF,5.0,25,0.05,2.45605,15.602522222222225
16,1,1,44918,FF,5.0,25,0.05,9.8242,15.602522222222225
16,1,1,44918,FF,5.0,25,0.05,39.2968,15.602522222222225
16,1,1,44918,FF,5.0,25,0.4,2.45605,15.602522222222225
16,1,1,44918,FF,5.0,25,0.4,9.8242,15.602522222222225
16,1,1,44918,FF,5.0,25,0.4,39.2968,15.602522222222225
16,1,1,44918,SS,5.0,25,0.0125,2.45605,14.681844444444446
16,1,1,44918,SS,5.0,25,0.0125,9.8242,14.681844444444446
16,1,1,44918,SS,5.0,25,0.0125,39.2968,14.681844444444446
16,1,1,44918,SS,5.0,25,0.05,2.45605,14.681844444444446
16,1,1,44918,SS,5.0,25,0.05,9.8242,14.681844444444446
16,1,1,44918,SS,5.0,25,0.05,39.2968,14.681844444444446
16,1,1,44918,SS,5.0,25,0.4,2.45605,14.681844444444446
16,1,1,44918,SS,5.0,25,0.4,9.8242,14.681844444444446
16,1,1,44918,SS,5.0,25,0.4,39.2968,14.681844444444446
16,1,1,44918,TT,3.6,25,0.0125,2.45605,5.5341555555555555
16,1,1,44918,TT,3.6,25,0.0125,9.8242,5.5341555555555555
16,1,1,44918,TT,3.6,25,0.0125,39.2968,5.5341555555555555
16,1,1,44918,TT,3.6,25,0.05,2.45605,5.5341555555555555
16,1,1,44918,TT,3.6,25,0.05,9.8242,5.5341555555555555
16,1,1,44918,TT,3.6,25,0.05,39.2968,5.5341555555555555
16,1,1,44918,TT,3.6,25,0.4,2.45605,5.5341555555555555
16,1,1,44918,TT,3.6,25,0.4,9.8242,5.5341555555555555
16,1,1,44918,TT,3.6,25,0.4,39.2968,5.5341555555555555
32,3,2,61533,FF,5.0,25,0.0125,2.45605,19.71031111111111
32,3,2,61533,FF,5.0,25,0.0125,9.8242,19.71031111111111
32,3,2,61533,FF,5.0,25,0.0125,39.2968,19.71031111111111
32,3,2,61533,FF,5.0,25,0.05,2.45605,19.71031111111111
32,3,2,61533,FF,5.0,25,0.05,9.8242,19.71031111111111
32,3,2,61533,FF,5.0,25,0.05,39.2968,19.71031111111111
32,3,2,61533,FF,5.0,25,0.4,2.45605,19.71031111111111
32,3,2,61533,FF,5.0,25,0.4,9.8242,19.71031111111111
32,3,2,61533,FF,5.0,25,0.4,39.2968,19.71031111111111
32,3,2,61533,SS,5.0,25,0.0125,2.45605,17.8862
32,3,2,61533,SS,5.0,25,0.0125,9.8242,17.8862
32,3,2,61533,SS,5.0,25,0.0125,39.2968,17.8862
32,3,2,61533,SS,5.0,25,0.05,2.45605,17.8862
32,3,2,61533,SS,5.0,25,0.05,9.8242,17.8862
32,3,2,61533,SS,5.0,25,0.05,39.2968,17.8862
32,3,2,61533,SS,5.0,25,0.4,2.45605,17.8862
32,3,2,61533,SS,5.0,25,0.4,9.8242,17.8862
32,3,2,61533,SS,5.0,25,0.4,39.2968,17.8862
32,3,2,61533,TT,3.6,25,0.0125,2.45605,6.923377777777778
32,3,2,61533,TT,3.6,25,0.0125,9.8242,6.923377777777778
32,3,2,61533,TT,3.6,25,0.0125,39.2968,6.923377777777778
32,3,2,61533,TT,3.6,25,0.05,2.45605,6.923377777777778
32,3,2,61533,TT,3.6,25,0.05,9.8242,6.923377777777778
32,3,2,61533,TT,3.6,25,0.05,39.2968,6.923377777777778
32,3,2,61533,TT,3.6,25,0.4,2.45605,6.923377777777778
32,3,2,61533,TT,3.6,25,0.4,9.8242,6.923377777777778
32,3,2,61533,TT,3.6,25,0.4,39.2968,6.923377777777778
32,2,2,55960,FF,5.0,25,0.0125,2.45605,18.071544444444445
32,2,2,55960,FF,5.0,25,0.0125,9.8242,18.071544444444445
32,2,2,55960,FF,5.0,25,0.0125,39.2968,18.071544444444445
32,2,2,55960,FF,5.0,25,0.05,2.45605,18.071544444444445
32,2,2,55960,FF,5.0,25,0.05,9.8242,18.071544444444445
32,2,2,55960,FF,5.0,25,0.05,39.2968,18.071544444444445
32,2,2,55960,FF,5.0,25,0.4,2.45605,18.071544444444445
32,2,2,55960,FF,5.0,25,0.4,9.8242,18.071544444444445
32,2,2,55960,FF,5.0,25,0.4,39.2968,18.071544444444445
32,2,2,55960,SS,5.0,25,0.0125,2.45605,16.317744444444447
32,2,2,55960,SS,5.0,25,0.0125,9.8242,16.317744444444447
32,2,2,55960,SS,5.0,25,0.0125,39.2968,16.317744444444447
32,2,2,55960,SS,5.0,25,0.05,2.45605,16.317744444444447
32,2,2,55960,SS,5.0,25,0.05,9.8242,16.317744444444447
32,2,2,55960,SS,5.0,25,0.05,39.2968,16.317744444444447
32,2,2,55960,SS,5.0,25,0.4,2.45605,16.317744444444447
32,2,2,55960,SS,5.0,25,0.4,9.8242,16.317744444444447
32,2,2,55960,SS,5.0,25,0.4,39.2968,16.317744444444447
32,2,2,55960,TT,3.6,25,0.0125,2.45605,6.271166666666668
32,2,2,55960,TT,3.6,25,0.0125,9.8242,6.271166666666668
32,2,2,55960,TT,3.6,25,0.0125,39.2968,6.271166666666668
32,2,2,55960,TT,3.6,25,0.05,2.45605,6.271166666666668
32,2,2,55960,TT,3.6,25,0.05,9.8242,6.271166666666668
32,2,2,55960,TT,3.6,25,0.05,39.2968,6.271166666666668
32,2,2,55960,TT,3.6,25,0.4,2.45605,6.271166666666668
32,2,2,55960,TT,3.6,25,0.4,9.8242,6.271166666666668
32,2,2,55960,TT,3.6,25,0.4,39.2968,6.271166666666668
16,3,1,49288,FF,5.0,25,0.0125,2.45605,17.808344444444447
16,3,1,49288,FF,5.0,25,0.0125,9.8242,17.808344444444447
16,3,1,49288,FF,5.0,25,0.0125,39.2968,17.808344444444447
16,3,1,49288,FF,5.0,25,0.05,2.45605,17.808344444444447
16,3,1,49288,FF,5.0,25,0.05,9.8242,17.808344444444447
16,3,1,49288,FF,5.0,25,0.05,39.2968,17.808344444444447
16,3,1,49288,FF,5.0,25,0.4,2.45605,17.808344444444447
16,3,1,49288,FF,5.0,25,0.4,9.8242,17.808344444444447
16,3,1,49288,FF,5.0,25,0.4,39.2968,17.808344444444447
16,3,1,49288,SS,5.0,25,0.0125,2.45605,16.077
16,3,1,49288,SS,5.0,25,0.0125,9.8242,16.077
16,3,1,49288,SS,5.0,25,0.0125,39.2968,16.077
16,3,1,49288,SS,5.0,25,0.05,2.45605,16.077
16,3,1,49288,SS,5.0,25,0.05,9.8242,16.077
16,3,1,49288,SS,5.0,25,0.05,39.2968,16.077
16,3,1,49288,SS,5.0,25,0.4,2.45605,16.077
16,3,1,49288,SS,5.0,25,0.4,9.8242,16.077
16,3,1,49288,SS,5.0,25,0.4,39.2968,16.077
16,3,1,49288,TT,3.6,25,0.0125,2.45605,6.150088888888889
16,3,1,49288,TT,3.6,25,0.0125,9.8242,6.150088888888889
16,3,1,49288,TT,3.6,25,0.0125,39.2968,6.150088888888889
16,3,1,49288,TT,3.6,25,0.05,2.45605,6.150088888888889
16,3,1,49288,TT,3.6,25,0.05,9.8242,6.150088888888889
16,3,1,49288,TT,3.6,25,0.05,39.2968,6.150088888888889
16,3,1,49288,TT,3.6,25,0.4,2.45605,6.150088888888889
16,3,1,49288,TT,3.6,25,0.4,9.8242,6.150088888888889
16,3,1,49288,TT,3.6,25,0.4,39.2968,6.150088888888889
64,1,4,56307,FF,5.0,25,0.0125,2.45605,17.73747777777778
64,1,4,56307,FF,5.0,25,0.0125,9.8242,17.73747777777778
64,1,4,56307,FF,5.0,25,0.0125,39.2968,17.73747777777778
64,1,4,56307,FF,5.0,25,0.05,2.45605,17.73747777777778
64,1,4,56307,FF,5.0,25,0.05,9.8242,17.73747777777778
64,1,4,56307,FF,5.0,25,0.05,39.2968,17.73747777777778
64,1,4,56307,FF,5.0,25,0.4,2.45605,17.73747777777778
64,1,4,56307,FF,5.0,25,0.4,9.8242,17.73747777777778
64,1,4,56307,FF,5.0,25,0.4,39.2968,17.73747777777778
64,1,4,56307,SS,5.0,25,0.0125,2.45605,16.819411111111112
64,1,4,56307,SS,5.0,25,0.0125,9.8242,16.819411111111112
64,1,4,56307,SS,5.0,25,0.0125,39.2968,16.819411111111112
64,1,4,56307,SS,5.0,25,0.05,2.45605,16.819411111111112
64,1,4,56307,SS,5.0,25,0.05,9.8242,16.819411111111112
64,1,4,56307,SS,5.0,25,0.05,39.2968,16.819411111111112
64,1,4,56307,SS,5.0,25,0.4,2.45605,16.819411111111112
64,1,4,56307,SS,5.0,25,0.4,9.8242,16.819411111111112
64,1,4,56307,SS,5.0,25,0.4,39.2968,16.819411111111112
64,1,4,56307,TT,3.6,25,0.0125,2.45605,6.42408888888889
64,1,4,56307,TT,3.6,25,0.0125,9.8242,6.42408888888889
64,1,4,56307,TT,3.6,25,0.0125,39.2968,6.42408888888889
64,1,4,56307,TT,3.6,25,0.05,2.45605,6.42408888888889
64,1,4,56307,TT,3.6,25,0.05,9.8242,6.42408888888889
64,1,4,56307,TT,3.6,25,0.05,39.2968,6.42408888888889
64,1,4,56307,TT,3.6,25,0.4,2.45605,6.42408888888889
64,1,4,56307,TT,3.6,25,0.4,9.8242,6.42408888888889
64,1,4,56307,TT,3.6,25,0.4,39.2968,6.42408888888889
32,1,2,50620,FF,5.0,25,0.0125,2.45605,16.546355555555554
32,1,2,50620,FF,5.0,25,0.0125,9.8242,16.546355555555554
32,1,2,50620,FF,5.0,25,0.0125,39.2968,16.546355555555554
32,1,2,50620,FF,5.0,25,0.05,2.45605,16.546355555555554
32,1,2,50620,FF,5.0,25,0.05,9.8242,16.546355555555554
32,1,2,50620,FF,5.0,25,0.05,39.2968,16.546355555555554
32,1,2,50620,FF,5.0,25,0.4,2.45605,16.546355555555554
32,1,2,50620,FF,5.0,25,0.4,9.8242,16.546355555555554
32,1,2,50620,FF,5.0,25,0.4,39.2968,16.546355555555554
32,1,2,50620,SS,5.0,25,0.0125,2.45605,15.652822222222223
32,1,2,50620,SS,5.0,25,0.0125,9.8242,15.652822222222223
32,1,2,50620,SS,5.0,25,0.0125,39.2968,15.652822222222223
32,1,2,50620,SS,5.0,25,0.05,2.45605,15.652822222222223
32,1,2,50620,SS,5.0,25,0.05,9.8242,15.652822222222223
32,1,2,50620,SS,5.0,25,0.05,39.2968,15.652822222222223
32,1,2,50620,SS,5.0,25,0.4,2.45605,15.652822222222223
32,1,2,50620,SS,5.0,25,0.4,9.8242,15.652822222222223
32,1,2,50620,SS,5.0,25,0.4,39.2968,15.652822222222223
32,1,2,50620,TT,3.6,25,0.0125,2.45605,5.9406
32,1,2,50620,TT,3.6,25,0.0125,9.8242,5.9406
32,1,2,50620,TT,3.6,25,0.0125,39.2968,5.9406
32,1,2,50620,TT,3.6,25,0.05,2.45605,5.9406
32,1,2,50620,TT,3.6,25,0.05,9.8242,5.9406
32,1,2,50620,TT,3.6,25,0.05,39.2968,5.9406
32,1,2,50620,TT,3.6,25,0.4,2.45605,5.9406
32,1,2,50620,TT,3.6,25,0.4,9.8242,5.9406
32,1,2,50620,TT,3.6,25,0.4,39.2968,5.9406
16,4,1,51796,FF,5.0,25,0.0125,2.45605,18.96528888888889
16,4,1,51796,FF,5.0,25,0.0125,9.8242,18.96528888888889
16,4,1,51796,FF,5.0,25,0.0125,39.2968,18.96528888888889
16,4,1,51796,FF,5.0,25,0.05,2.45605,18.96528888888889
16,4,1,51796,FF,5.0,25,0.05,9.8242,18.96528888888889
16,4,1,51796,FF,5.0,25,0.05,39.2968,18.96528888888889
16,4,1,51796,FF,5.0,25,0.4,2.45605,18.96528888888889
16,4,1,51796,FF,5.0,25,0.4,9.8242,18.96528888888889
16,4,1,51796,FF,5.0,25,0.4,39.2968,18.96528888888889
16,4,1,51796,SS,5.0,25,0.0125,2.45605,17.086611111111115
16,4,1,51796,SS,5.0,25,0.0125,9.8242,17.086611111111115
16,4,1,51796,SS,5.0,25,0.0125,39.2968,17.086611111111115
16,4,1,51796,SS,5.0,25,0.05,2.45605,17.086611111111115
16,4,1,51796,SS,5.0,25,0.05,9.8242,17.086611111111115
16,4,1,51796,SS,5.0,25,0.05,39.2968,17.086611111111115
16,4,1,51796,SS,5.0,25,0.4,2.45605,17.086611111111115
16,4,1,51796,SS,5.0,25,0.4,9.8242,17.086611111111115
16,4,1,51796,SS,5.0,25,0.4,39.2968,17.086611111111115
16,4,1,51796,TT,5.0,25,0.0125,2.45605,17.49298888888889
16,4,1,51796,TT,5.0,25,0.0125,9.8242,17.49298888888889
16,4,1,51796,TT,5.0,25,0.0125,39.2968,17.49298888888889
16,4,1,51796,TT,5.0,25,0.05,2.45605,17.49298888888889
16,4,1,51796,TT,5.0,25,0.05,9.8242,17.49298888888889
16,4,1,51796,TT,5.0,25,0.05,39.2968,17.49298888888889
16,4,1,51796,TT,5.0,25,0.4,2.45605,17.49298888888889
16,4,1,51796,TT,5.0,25,0.4,9.8242,17.49298888888889
16,4,1,51796,TT,5.0,25,0.4,39.2968,17.49298888888889
1 num_words word_size words_per_row area process voltage temperature slew load read0_power
2 16 2 1 46853 FF 5.0 25 0.0125 2.45605 16.673055555555557
3 16 2 1 46853 FF 5.0 25 0.0125 9.8242 16.673055555555557
4 16 2 1 46853 FF 5.0 25 0.0125 39.2968 16.673055555555557
5 16 2 1 46853 FF 5.0 25 0.05 2.45605 16.673055555555557
6 16 2 1 46853 FF 5.0 25 0.05 9.8242 16.673055555555557
7 16 2 1 46853 FF 5.0 25 0.05 39.2968 16.673055555555557
8 16 2 1 46853 FF 5.0 25 0.4 2.45605 16.673055555555557
9 16 2 1 46853 FF 5.0 25 0.4 9.8242 16.673055555555557
10 16 2 1 46853 FF 5.0 25 0.4 39.2968 16.673055555555557
11 16 2 1 46853 SS 5.0 25 0.0125 2.45605 15.053177777777778
12 16 2 1 46853 SS 5.0 25 0.0125 9.8242 15.053177777777778
13 16 2 1 46853 SS 5.0 25 0.0125 39.2968 15.053177777777778
14 16 2 1 46853 SS 5.0 25 0.05 2.45605 15.053177777777778
15 16 2 1 46853 SS 5.0 25 0.05 9.8242 15.053177777777778
16 16 2 1 46853 SS 5.0 25 0.05 39.2968 15.053177777777778
17 16 2 1 46853 SS 5.0 25 0.4 2.45605 15.053177777777778
18 16 2 1 46853 SS 5.0 25 0.4 9.8242 15.053177777777778
19 16 2 1 46853 SS 5.0 25 0.4 39.2968 15.053177777777778
20 16 2 1 46853 TT 3.6 25 0.0125 2.45605 5.970400000000001
21 16 2 1 46853 TT 3.6 25 0.0125 9.8242 5.970400000000001
22 16 2 1 46853 TT 3.6 25 0.0125 39.2968 5.970400000000001
23 16 2 1 46853 TT 3.6 25 0.05 2.45605 5.970400000000001
24 16 2 1 46853 TT 3.6 25 0.05 9.8242 5.970400000000001
25 16 2 1 46853 TT 3.6 25 0.05 39.2968 5.970400000000001
26 16 2 1 46853 TT 3.6 25 0.4 2.45605 5.970400000000001
27 16 2 1 46853 TT 3.6 25 0.4 9.8242 5.970400000000001
28 16 2 1 46853 TT 3.6 25 0.4 39.2968 5.970400000000001
29 64 2 4 66821 FF 5.0 25 0.0125 2.45605 20.371899999999997
30 64 2 4 66821 FF 5.0 25 0.0125 9.8242 20.371899999999997
31 64 2 4 66821 FF 5.0 25 0.0125 39.2968 20.371899999999997
32 64 2 4 66821 FF 5.0 25 0.05 2.45605 20.371899999999997
33 64 2 4 66821 FF 5.0 25 0.05 9.8242 20.371899999999997
34 64 2 4 66821 FF 5.0 25 0.05 39.2968 20.371899999999997
35 64 2 4 66821 FF 5.0 25 0.4 2.45605 20.371899999999997
36 64 2 4 66821 FF 5.0 25 0.4 9.8242 20.371899999999997
37 64 2 4 66821 FF 5.0 25 0.4 39.2968 20.371899999999997
38 64 2 4 66821 SS 5.0 25 0.0125 2.45605 18.479366666666667
39 64 2 4 66821 SS 5.0 25 0.0125 9.8242 18.479366666666667
40 64 2 4 66821 SS 5.0 25 0.0125 39.2968 18.479366666666667
41 64 2 4 66821 SS 5.0 25 0.05 2.45605 18.479366666666667
42 64 2 4 66821 SS 5.0 25 0.05 9.8242 18.479366666666667
43 64 2 4 66821 SS 5.0 25 0.05 39.2968 18.479366666666667
44 64 2 4 66821 SS 5.0 25 0.4 2.45605 18.479366666666667
45 64 2 4 66821 SS 5.0 25 0.4 9.8242 18.479366666666667
46 64 2 4 66821 SS 5.0 25 0.4 39.2968 18.479366666666667
47 64 2 4 66821 TT 3.6 25 0.0125 2.45605 7.1822333333333335
48 64 2 4 66821 TT 3.6 25 0.0125 9.8242 7.1822333333333335
49 64 2 4 66821 TT 3.6 25 0.0125 39.2968 7.1822333333333335
50 64 2 4 66821 TT 3.6 25 0.05 2.45605 7.1822333333333335
51 64 2 4 66821 TT 3.6 25 0.05 9.8242 7.1822333333333335
52 64 2 4 66821 TT 3.6 25 0.05 39.2968 7.1822333333333335
53 64 2 4 66821 TT 3.6 25 0.4 2.45605 7.1822333333333335
54 64 2 4 66821 TT 3.6 25 0.4 9.8242 7.1822333333333335
55 64 2 4 66821 TT 3.6 25 0.4 39.2968 7.1822333333333335
56 16 1 1 44918 FF 5.0 25 0.0125 2.45605 15.602522222222225
57 16 1 1 44918 FF 5.0 25 0.0125 9.8242 15.602522222222225
58 16 1 1 44918 FF 5.0 25 0.0125 39.2968 15.602522222222225
59 16 1 1 44918 FF 5.0 25 0.05 2.45605 15.602522222222225
60 16 1 1 44918 FF 5.0 25 0.05 9.8242 15.602522222222225
61 16 1 1 44918 FF 5.0 25 0.05 39.2968 15.602522222222225
62 16 1 1 44918 FF 5.0 25 0.4 2.45605 15.602522222222225
63 16 1 1 44918 FF 5.0 25 0.4 9.8242 15.602522222222225
64 16 1 1 44918 FF 5.0 25 0.4 39.2968 15.602522222222225
65 16 1 1 44918 SS 5.0 25 0.0125 2.45605 14.681844444444446
66 16 1 1 44918 SS 5.0 25 0.0125 9.8242 14.681844444444446
67 16 1 1 44918 SS 5.0 25 0.0125 39.2968 14.681844444444446
68 16 1 1 44918 SS 5.0 25 0.05 2.45605 14.681844444444446
69 16 1 1 44918 SS 5.0 25 0.05 9.8242 14.681844444444446
70 16 1 1 44918 SS 5.0 25 0.05 39.2968 14.681844444444446
71 16 1 1 44918 SS 5.0 25 0.4 2.45605 14.681844444444446
72 16 1 1 44918 SS 5.0 25 0.4 9.8242 14.681844444444446
73 16 1 1 44918 SS 5.0 25 0.4 39.2968 14.681844444444446
74 16 1 1 44918 TT 3.6 25 0.0125 2.45605 5.5341555555555555
75 16 1 1 44918 TT 3.6 25 0.0125 9.8242 5.5341555555555555
76 16 1 1 44918 TT 3.6 25 0.0125 39.2968 5.5341555555555555
77 16 1 1 44918 TT 3.6 25 0.05 2.45605 5.5341555555555555
78 16 1 1 44918 TT 3.6 25 0.05 9.8242 5.5341555555555555
79 16 1 1 44918 TT 3.6 25 0.05 39.2968 5.5341555555555555
80 16 1 1 44918 TT 3.6 25 0.4 2.45605 5.5341555555555555
81 16 1 1 44918 TT 3.6 25 0.4 9.8242 5.5341555555555555
82 16 1 1 44918 TT 3.6 25 0.4 39.2968 5.5341555555555555
83 32 3 2 61533 FF 5.0 25 0.0125 2.45605 19.71031111111111
84 32 3 2 61533 FF 5.0 25 0.0125 9.8242 19.71031111111111
85 32 3 2 61533 FF 5.0 25 0.0125 39.2968 19.71031111111111
86 32 3 2 61533 FF 5.0 25 0.05 2.45605 19.71031111111111
87 32 3 2 61533 FF 5.0 25 0.05 9.8242 19.71031111111111
88 32 3 2 61533 FF 5.0 25 0.05 39.2968 19.71031111111111
89 32 3 2 61533 FF 5.0 25 0.4 2.45605 19.71031111111111
90 32 3 2 61533 FF 5.0 25 0.4 9.8242 19.71031111111111
91 32 3 2 61533 FF 5.0 25 0.4 39.2968 19.71031111111111
92 32 3 2 61533 SS 5.0 25 0.0125 2.45605 17.8862
93 32 3 2 61533 SS 5.0 25 0.0125 9.8242 17.8862
94 32 3 2 61533 SS 5.0 25 0.0125 39.2968 17.8862
95 32 3 2 61533 SS 5.0 25 0.05 2.45605 17.8862
96 32 3 2 61533 SS 5.0 25 0.05 9.8242 17.8862
97 32 3 2 61533 SS 5.0 25 0.05 39.2968 17.8862
98 32 3 2 61533 SS 5.0 25 0.4 2.45605 17.8862
99 32 3 2 61533 SS 5.0 25 0.4 9.8242 17.8862
100 32 3 2 61533 SS 5.0 25 0.4 39.2968 17.8862
101 32 3 2 61533 TT 3.6 25 0.0125 2.45605 6.923377777777778
102 32 3 2 61533 TT 3.6 25 0.0125 9.8242 6.923377777777778
103 32 3 2 61533 TT 3.6 25 0.0125 39.2968 6.923377777777778
104 32 3 2 61533 TT 3.6 25 0.05 2.45605 6.923377777777778
105 32 3 2 61533 TT 3.6 25 0.05 9.8242 6.923377777777778
106 32 3 2 61533 TT 3.6 25 0.05 39.2968 6.923377777777778
107 32 3 2 61533 TT 3.6 25 0.4 2.45605 6.923377777777778
108 32 3 2 61533 TT 3.6 25 0.4 9.8242 6.923377777777778
109 32 3 2 61533 TT 3.6 25 0.4 39.2968 6.923377777777778
110 32 2 2 55960 FF 5.0 25 0.0125 2.45605 18.071544444444445
111 32 2 2 55960 FF 5.0 25 0.0125 9.8242 18.071544444444445
112 32 2 2 55960 FF 5.0 25 0.0125 39.2968 18.071544444444445
113 32 2 2 55960 FF 5.0 25 0.05 2.45605 18.071544444444445
114 32 2 2 55960 FF 5.0 25 0.05 9.8242 18.071544444444445
115 32 2 2 55960 FF 5.0 25 0.05 39.2968 18.071544444444445
116 32 2 2 55960 FF 5.0 25 0.4 2.45605 18.071544444444445
117 32 2 2 55960 FF 5.0 25 0.4 9.8242 18.071544444444445
118 32 2 2 55960 FF 5.0 25 0.4 39.2968 18.071544444444445
119 32 2 2 55960 SS 5.0 25 0.0125 2.45605 16.317744444444447
120 32 2 2 55960 SS 5.0 25 0.0125 9.8242 16.317744444444447
121 32 2 2 55960 SS 5.0 25 0.0125 39.2968 16.317744444444447
122 32 2 2 55960 SS 5.0 25 0.05 2.45605 16.317744444444447
123 32 2 2 55960 SS 5.0 25 0.05 9.8242 16.317744444444447
124 32 2 2 55960 SS 5.0 25 0.05 39.2968 16.317744444444447
125 32 2 2 55960 SS 5.0 25 0.4 2.45605 16.317744444444447
126 32 2 2 55960 SS 5.0 25 0.4 9.8242 16.317744444444447
127 32 2 2 55960 SS 5.0 25 0.4 39.2968 16.317744444444447
128 32 2 2 55960 TT 3.6 25 0.0125 2.45605 6.271166666666668
129 32 2 2 55960 TT 3.6 25 0.0125 9.8242 6.271166666666668
130 32 2 2 55960 TT 3.6 25 0.0125 39.2968 6.271166666666668
131 32 2 2 55960 TT 3.6 25 0.05 2.45605 6.271166666666668
132 32 2 2 55960 TT 3.6 25 0.05 9.8242 6.271166666666668
133 32 2 2 55960 TT 3.6 25 0.05 39.2968 6.271166666666668
134 32 2 2 55960 TT 3.6 25 0.4 2.45605 6.271166666666668
135 32 2 2 55960 TT 3.6 25 0.4 9.8242 6.271166666666668
136 32 2 2 55960 TT 3.6 25 0.4 39.2968 6.271166666666668
137 16 3 1 49288 FF 5.0 25 0.0125 2.45605 17.808344444444447
138 16 3 1 49288 FF 5.0 25 0.0125 9.8242 17.808344444444447
139 16 3 1 49288 FF 5.0 25 0.0125 39.2968 17.808344444444447
140 16 3 1 49288 FF 5.0 25 0.05 2.45605 17.808344444444447
141 16 3 1 49288 FF 5.0 25 0.05 9.8242 17.808344444444447
142 16 3 1 49288 FF 5.0 25 0.05 39.2968 17.808344444444447
143 16 3 1 49288 FF 5.0 25 0.4 2.45605 17.808344444444447
144 16 3 1 49288 FF 5.0 25 0.4 9.8242 17.808344444444447
145 16 3 1 49288 FF 5.0 25 0.4 39.2968 17.808344444444447
146 16 3 1 49288 SS 5.0 25 0.0125 2.45605 16.077
147 16 3 1 49288 SS 5.0 25 0.0125 9.8242 16.077
148 16 3 1 49288 SS 5.0 25 0.0125 39.2968 16.077
149 16 3 1 49288 SS 5.0 25 0.05 2.45605 16.077
150 16 3 1 49288 SS 5.0 25 0.05 9.8242 16.077
151 16 3 1 49288 SS 5.0 25 0.05 39.2968 16.077
152 16 3 1 49288 SS 5.0 25 0.4 2.45605 16.077
153 16 3 1 49288 SS 5.0 25 0.4 9.8242 16.077
154 16 3 1 49288 SS 5.0 25 0.4 39.2968 16.077
155 16 3 1 49288 TT 3.6 25 0.0125 2.45605 6.150088888888889
156 16 3 1 49288 TT 3.6 25 0.0125 9.8242 6.150088888888889
157 16 3 1 49288 TT 3.6 25 0.0125 39.2968 6.150088888888889
158 16 3 1 49288 TT 3.6 25 0.05 2.45605 6.150088888888889
159 16 3 1 49288 TT 3.6 25 0.05 9.8242 6.150088888888889
160 16 3 1 49288 TT 3.6 25 0.05 39.2968 6.150088888888889
161 16 3 1 49288 TT 3.6 25 0.4 2.45605 6.150088888888889
162 16 3 1 49288 TT 3.6 25 0.4 9.8242 6.150088888888889
163 16 3 1 49288 TT 3.6 25 0.4 39.2968 6.150088888888889
164 64 1 4 56307 FF 5.0 25 0.0125 2.45605 17.73747777777778
165 64 1 4 56307 FF 5.0 25 0.0125 9.8242 17.73747777777778
166 64 1 4 56307 FF 5.0 25 0.0125 39.2968 17.73747777777778
167 64 1 4 56307 FF 5.0 25 0.05 2.45605 17.73747777777778
168 64 1 4 56307 FF 5.0 25 0.05 9.8242 17.73747777777778
169 64 1 4 56307 FF 5.0 25 0.05 39.2968 17.73747777777778
170 64 1 4 56307 FF 5.0 25 0.4 2.45605 17.73747777777778
171 64 1 4 56307 FF 5.0 25 0.4 9.8242 17.73747777777778
172 64 1 4 56307 FF 5.0 25 0.4 39.2968 17.73747777777778
173 64 1 4 56307 SS 5.0 25 0.0125 2.45605 16.819411111111112
174 64 1 4 56307 SS 5.0 25 0.0125 9.8242 16.819411111111112
175 64 1 4 56307 SS 5.0 25 0.0125 39.2968 16.819411111111112
176 64 1 4 56307 SS 5.0 25 0.05 2.45605 16.819411111111112
177 64 1 4 56307 SS 5.0 25 0.05 9.8242 16.819411111111112
178 64 1 4 56307 SS 5.0 25 0.05 39.2968 16.819411111111112
179 64 1 4 56307 SS 5.0 25 0.4 2.45605 16.819411111111112
180 64 1 4 56307 SS 5.0 25 0.4 9.8242 16.819411111111112
181 64 1 4 56307 SS 5.0 25 0.4 39.2968 16.819411111111112
182 64 1 4 56307 TT 3.6 25 0.0125 2.45605 6.42408888888889
183 64 1 4 56307 TT 3.6 25 0.0125 9.8242 6.42408888888889
184 64 1 4 56307 TT 3.6 25 0.0125 39.2968 6.42408888888889
185 64 1 4 56307 TT 3.6 25 0.05 2.45605 6.42408888888889
186 64 1 4 56307 TT 3.6 25 0.05 9.8242 6.42408888888889
187 64 1 4 56307 TT 3.6 25 0.05 39.2968 6.42408888888889
188 64 1 4 56307 TT 3.6 25 0.4 2.45605 6.42408888888889
189 64 1 4 56307 TT 3.6 25 0.4 9.8242 6.42408888888889
190 64 1 4 56307 TT 3.6 25 0.4 39.2968 6.42408888888889
191 32 1 2 50620 FF 5.0 25 0.0125 2.45605 16.546355555555554
192 32 1 2 50620 FF 5.0 25 0.0125 9.8242 16.546355555555554
193 32 1 2 50620 FF 5.0 25 0.0125 39.2968 16.546355555555554
194 32 1 2 50620 FF 5.0 25 0.05 2.45605 16.546355555555554
195 32 1 2 50620 FF 5.0 25 0.05 9.8242 16.546355555555554
196 32 1 2 50620 FF 5.0 25 0.05 39.2968 16.546355555555554
197 32 1 2 50620 FF 5.0 25 0.4 2.45605 16.546355555555554
198 32 1 2 50620 FF 5.0 25 0.4 9.8242 16.546355555555554
199 32 1 2 50620 FF 5.0 25 0.4 39.2968 16.546355555555554
200 32 1 2 50620 SS 5.0 25 0.0125 2.45605 15.652822222222223
201 32 1 2 50620 SS 5.0 25 0.0125 9.8242 15.652822222222223
202 32 1 2 50620 SS 5.0 25 0.0125 39.2968 15.652822222222223
203 32 1 2 50620 SS 5.0 25 0.05 2.45605 15.652822222222223
204 32 1 2 50620 SS 5.0 25 0.05 9.8242 15.652822222222223
205 32 1 2 50620 SS 5.0 25 0.05 39.2968 15.652822222222223
206 32 1 2 50620 SS 5.0 25 0.4 2.45605 15.652822222222223
207 32 1 2 50620 SS 5.0 25 0.4 9.8242 15.652822222222223
208 32 1 2 50620 SS 5.0 25 0.4 39.2968 15.652822222222223
209 32 1 2 50620 TT 3.6 25 0.0125 2.45605 5.9406
210 32 1 2 50620 TT 3.6 25 0.0125 9.8242 5.9406
211 32 1 2 50620 TT 3.6 25 0.0125 39.2968 5.9406
212 32 1 2 50620 TT 3.6 25 0.05 2.45605 5.9406
213 32 1 2 50620 TT 3.6 25 0.05 9.8242 5.9406
214 32 1 2 50620 TT 3.6 25 0.05 39.2968 5.9406
215 32 1 2 50620 TT 3.6 25 0.4 2.45605 5.9406
216 32 1 2 50620 TT 3.6 25 0.4 9.8242 5.9406
217 32 1 2 50620 TT 3.6 25 0.4 39.2968 5.9406
218 16 4 1 51796 FF 5.0 25 0.0125 2.45605 18.96528888888889
219 16 4 1 51796 FF 5.0 25 0.0125 9.8242 18.96528888888889
220 16 4 1 51796 FF 5.0 25 0.0125 39.2968 18.96528888888889
221 16 4 1 51796 FF 5.0 25 0.05 2.45605 18.96528888888889
222 16 4 1 51796 FF 5.0 25 0.05 9.8242 18.96528888888889
223 16 4 1 51796 FF 5.0 25 0.05 39.2968 18.96528888888889
224 16 4 1 51796 FF 5.0 25 0.4 2.45605 18.96528888888889
225 16 4 1 51796 FF 5.0 25 0.4 9.8242 18.96528888888889
226 16 4 1 51796 FF 5.0 25 0.4 39.2968 18.96528888888889
227 16 4 1 51796 SS 5.0 25 0.0125 2.45605 17.086611111111115
228 16 4 1 51796 SS 5.0 25 0.0125 9.8242 17.086611111111115
229 16 4 1 51796 SS 5.0 25 0.0125 39.2968 17.086611111111115
230 16 4 1 51796 SS 5.0 25 0.05 2.45605 17.086611111111115
231 16 4 1 51796 SS 5.0 25 0.05 9.8242 17.086611111111115
232 16 4 1 51796 SS 5.0 25 0.05 39.2968 17.086611111111115
233 16 4 1 51796 SS 5.0 25 0.4 2.45605 17.086611111111115
234 16 4 1 51796 SS 5.0 25 0.4 9.8242 17.086611111111115
235 16 4 1 51796 SS 5.0 25 0.4 39.2968 17.086611111111115
236 16 4 1 51796 TT 5.0 25 0.0125 2.45605 17.49298888888889
237 16 4 1 51796 TT 5.0 25 0.0125 9.8242 17.49298888888889
238 16 4 1 51796 TT 5.0 25 0.0125 39.2968 17.49298888888889
239 16 4 1 51796 TT 5.0 25 0.05 2.45605 17.49298888888889
240 16 4 1 51796 TT 5.0 25 0.05 9.8242 17.49298888888889
241 16 4 1 51796 TT 5.0 25 0.05 39.2968 17.49298888888889
242 16 4 1 51796 TT 5.0 25 0.4 2.45605 17.49298888888889
243 16 4 1 51796 TT 5.0 25 0.4 9.8242 17.49298888888889
244 16 4 1 51796 TT 5.0 25 0.4 39.2968 17.49298888888889

View File

@ -1,244 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,read1_power
16,2,1,46853,FF,5.0,25,0.0125,2.45605,16.676000000000002
16,2,1,46853,FF,5.0,25,0.0125,9.8242,16.676000000000002
16,2,1,46853,FF,5.0,25,0.0125,39.2968,16.676000000000002
16,2,1,46853,FF,5.0,25,0.05,2.45605,16.676000000000002
16,2,1,46853,FF,5.0,25,0.05,9.8242,16.676000000000002
16,2,1,46853,FF,5.0,25,0.05,39.2968,16.676000000000002
16,2,1,46853,FF,5.0,25,0.4,2.45605,16.676000000000002
16,2,1,46853,FF,5.0,25,0.4,9.8242,16.676000000000002
16,2,1,46853,FF,5.0,25,0.4,39.2968,16.676000000000002
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16,4,1,51796,TT,5.0,25,0.0125,39.2968,17.458644444444445
16,4,1,51796,TT,5.0,25,0.05,2.45605,17.458644444444445
16,4,1,51796,TT,5.0,25,0.05,9.8242,17.458644444444445
16,4,1,51796,TT,5.0,25,0.05,39.2968,17.458644444444445
16,4,1,51796,TT,5.0,25,0.4,2.45605,17.458644444444445
16,4,1,51796,TT,5.0,25,0.4,9.8242,17.458644444444445
16,4,1,51796,TT,5.0,25,0.4,39.2968,17.458644444444445
1 num_words word_size words_per_row area process voltage temperature slew load read1_power
2 16 2 1 46853 FF 5.0 25 0.0125 2.45605 16.676000000000002
3 16 2 1 46853 FF 5.0 25 0.0125 9.8242 16.676000000000002
4 16 2 1 46853 FF 5.0 25 0.0125 39.2968 16.676000000000002
5 16 2 1 46853 FF 5.0 25 0.05 2.45605 16.676000000000002
6 16 2 1 46853 FF 5.0 25 0.05 9.8242 16.676000000000002
7 16 2 1 46853 FF 5.0 25 0.05 39.2968 16.676000000000002
8 16 2 1 46853 FF 5.0 25 0.4 2.45605 16.676000000000002
9 16 2 1 46853 FF 5.0 25 0.4 9.8242 16.676000000000002
10 16 2 1 46853 FF 5.0 25 0.4 39.2968 16.676000000000002
11 16 2 1 46853 SS 5.0 25 0.0125 2.45605 15.048222222222222
12 16 2 1 46853 SS 5.0 25 0.0125 9.8242 15.048222222222222
13 16 2 1 46853 SS 5.0 25 0.0125 39.2968 15.048222222222222
14 16 2 1 46853 SS 5.0 25 0.05 2.45605 15.048222222222222
15 16 2 1 46853 SS 5.0 25 0.05 9.8242 15.048222222222222
16 16 2 1 46853 SS 5.0 25 0.05 39.2968 15.048222222222222
17 16 2 1 46853 SS 5.0 25 0.4 2.45605 15.048222222222222
18 16 2 1 46853 SS 5.0 25 0.4 9.8242 15.048222222222222
19 16 2 1 46853 SS 5.0 25 0.4 39.2968 15.048222222222222
20 16 2 1 46853 TT 3.6 25 0.0125 2.45605 5.970233333333334
21 16 2 1 46853 TT 3.6 25 0.0125 9.8242 5.970233333333334
22 16 2 1 46853 TT 3.6 25 0.0125 39.2968 5.970233333333334
23 16 2 1 46853 TT 3.6 25 0.05 2.45605 5.970233333333334
24 16 2 1 46853 TT 3.6 25 0.05 9.8242 5.970233333333334
25 16 2 1 46853 TT 3.6 25 0.05 39.2968 5.970233333333334
26 16 2 1 46853 TT 3.6 25 0.4 2.45605 5.970233333333334
27 16 2 1 46853 TT 3.6 25 0.4 9.8242 5.970233333333334
28 16 2 1 46853 TT 3.6 25 0.4 39.2968 5.970233333333334
29 64 2 4 66821 FF 5.0 25 0.0125 2.45605 20.39606666666667
30 64 2 4 66821 FF 5.0 25 0.0125 9.8242 20.39606666666667
31 64 2 4 66821 FF 5.0 25 0.0125 39.2968 20.39606666666667
32 64 2 4 66821 FF 5.0 25 0.05 2.45605 20.39606666666667
33 64 2 4 66821 FF 5.0 25 0.05 9.8242 20.39606666666667
34 64 2 4 66821 FF 5.0 25 0.05 39.2968 20.39606666666667
35 64 2 4 66821 FF 5.0 25 0.4 2.45605 20.39606666666667
36 64 2 4 66821 FF 5.0 25 0.4 9.8242 20.39606666666667
37 64 2 4 66821 FF 5.0 25 0.4 39.2968 20.39606666666667
38 64 2 4 66821 SS 5.0 25 0.0125 2.45605 18.48441111111111
39 64 2 4 66821 SS 5.0 25 0.0125 9.8242 18.48441111111111
40 64 2 4 66821 SS 5.0 25 0.0125 39.2968 18.48441111111111
41 64 2 4 66821 SS 5.0 25 0.05 2.45605 18.48441111111111
42 64 2 4 66821 SS 5.0 25 0.05 9.8242 18.48441111111111
43 64 2 4 66821 SS 5.0 25 0.05 39.2968 18.48441111111111
44 64 2 4 66821 SS 5.0 25 0.4 2.45605 18.48441111111111
45 64 2 4 66821 SS 5.0 25 0.4 9.8242 18.48441111111111
46 64 2 4 66821 SS 5.0 25 0.4 39.2968 18.48441111111111
47 64 2 4 66821 TT 3.6 25 0.0125 2.45605 7.184488888888889
48 64 2 4 66821 TT 3.6 25 0.0125 9.8242 7.184488888888889
49 64 2 4 66821 TT 3.6 25 0.0125 39.2968 7.184488888888889
50 64 2 4 66821 TT 3.6 25 0.05 2.45605 7.184488888888889
51 64 2 4 66821 TT 3.6 25 0.05 9.8242 7.184488888888889
52 64 2 4 66821 TT 3.6 25 0.05 39.2968 7.184488888888889
53 64 2 4 66821 TT 3.6 25 0.4 2.45605 7.184488888888889
54 64 2 4 66821 TT 3.6 25 0.4 9.8242 7.184488888888889
55 64 2 4 66821 TT 3.6 25 0.4 39.2968 7.184488888888889
56 16 1 1 44918 FF 5.0 25 0.0125 2.45605 15.575122222222225
57 16 1 1 44918 FF 5.0 25 0.0125 9.8242 15.575122222222225
58 16 1 1 44918 FF 5.0 25 0.0125 39.2968 15.575122222222225
59 16 1 1 44918 FF 5.0 25 0.05 2.45605 15.575122222222225
60 16 1 1 44918 FF 5.0 25 0.05 9.8242 15.575122222222225
61 16 1 1 44918 FF 5.0 25 0.05 39.2968 15.575122222222225
62 16 1 1 44918 FF 5.0 25 0.4 2.45605 15.575122222222225
63 16 1 1 44918 FF 5.0 25 0.4 9.8242 15.575122222222225
64 16 1 1 44918 FF 5.0 25 0.4 39.2968 15.575122222222225
65 16 1 1 44918 SS 5.0 25 0.0125 2.45605 14.689155555555557
66 16 1 1 44918 SS 5.0 25 0.0125 9.8242 14.689155555555557
67 16 1 1 44918 SS 5.0 25 0.0125 39.2968 14.689155555555557
68 16 1 1 44918 SS 5.0 25 0.05 2.45605 14.689155555555557
69 16 1 1 44918 SS 5.0 25 0.05 9.8242 14.689155555555557
70 16 1 1 44918 SS 5.0 25 0.05 39.2968 14.689155555555557
71 16 1 1 44918 SS 5.0 25 0.4 2.45605 14.689155555555557
72 16 1 1 44918 SS 5.0 25 0.4 9.8242 14.689155555555557
73 16 1 1 44918 SS 5.0 25 0.4 39.2968 14.689155555555557
74 16 1 1 44918 TT 3.6 25 0.0125 2.45605 5.536955555555556
75 16 1 1 44918 TT 3.6 25 0.0125 9.8242 5.536955555555556
76 16 1 1 44918 TT 3.6 25 0.0125 39.2968 5.536955555555556
77 16 1 1 44918 TT 3.6 25 0.05 2.45605 5.536955555555556
78 16 1 1 44918 TT 3.6 25 0.05 9.8242 5.536955555555556
79 16 1 1 44918 TT 3.6 25 0.05 39.2968 5.536955555555556
80 16 1 1 44918 TT 3.6 25 0.4 2.45605 5.536955555555556
81 16 1 1 44918 TT 3.6 25 0.4 9.8242 5.536955555555556
82 16 1 1 44918 TT 3.6 25 0.4 39.2968 5.536955555555556
83 32 3 2 61533 FF 5.0 25 0.0125 2.45605 19.72533333333333
84 32 3 2 61533 FF 5.0 25 0.0125 9.8242 19.72533333333333
85 32 3 2 61533 FF 5.0 25 0.0125 39.2968 19.72533333333333
86 32 3 2 61533 FF 5.0 25 0.05 2.45605 19.72533333333333
87 32 3 2 61533 FF 5.0 25 0.05 9.8242 19.72533333333333
88 32 3 2 61533 FF 5.0 25 0.05 39.2968 19.72533333333333
89 32 3 2 61533 FF 5.0 25 0.4 2.45605 19.72533333333333
90 32 3 2 61533 FF 5.0 25 0.4 9.8242 19.72533333333333
91 32 3 2 61533 FF 5.0 25 0.4 39.2968 19.72533333333333
92 32 3 2 61533 SS 5.0 25 0.0125 2.45605 17.891011111111112
93 32 3 2 61533 SS 5.0 25 0.0125 9.8242 17.891011111111112
94 32 3 2 61533 SS 5.0 25 0.0125 39.2968 17.891011111111112
95 32 3 2 61533 SS 5.0 25 0.05 2.45605 17.891011111111112
96 32 3 2 61533 SS 5.0 25 0.05 9.8242 17.891011111111112
97 32 3 2 61533 SS 5.0 25 0.05 39.2968 17.891011111111112
98 32 3 2 61533 SS 5.0 25 0.4 2.45605 17.891011111111112
99 32 3 2 61533 SS 5.0 25 0.4 9.8242 17.891011111111112
100 32 3 2 61533 SS 5.0 25 0.4 39.2968 17.891011111111112
101 32 3 2 61533 TT 3.6 25 0.0125 2.45605 6.928544444444444
102 32 3 2 61533 TT 3.6 25 0.0125 9.8242 6.928544444444444
103 32 3 2 61533 TT 3.6 25 0.0125 39.2968 6.928544444444444
104 32 3 2 61533 TT 3.6 25 0.05 2.45605 6.928544444444444
105 32 3 2 61533 TT 3.6 25 0.05 9.8242 6.928544444444444
106 32 3 2 61533 TT 3.6 25 0.05 39.2968 6.928544444444444
107 32 3 2 61533 TT 3.6 25 0.4 2.45605 6.928544444444444
108 32 3 2 61533 TT 3.6 25 0.4 9.8242 6.928544444444444
109 32 3 2 61533 TT 3.6 25 0.4 39.2968 6.928544444444444
110 32 2 2 55960 FF 5.0 25 0.0125 2.45605 18.03156666666667
111 32 2 2 55960 FF 5.0 25 0.0125 9.8242 18.03156666666667
112 32 2 2 55960 FF 5.0 25 0.0125 39.2968 18.03156666666667
113 32 2 2 55960 FF 5.0 25 0.05 2.45605 18.03156666666667
114 32 2 2 55960 FF 5.0 25 0.05 9.8242 18.03156666666667
115 32 2 2 55960 FF 5.0 25 0.05 39.2968 18.03156666666667
116 32 2 2 55960 FF 5.0 25 0.4 2.45605 18.03156666666667
117 32 2 2 55960 FF 5.0 25 0.4 9.8242 18.03156666666667
118 32 2 2 55960 FF 5.0 25 0.4 39.2968 18.03156666666667
119 32 2 2 55960 SS 5.0 25 0.0125 2.45605 16.29516666666667
120 32 2 2 55960 SS 5.0 25 0.0125 9.8242 16.29516666666667
121 32 2 2 55960 SS 5.0 25 0.0125 39.2968 16.29516666666667
122 32 2 2 55960 SS 5.0 25 0.05 2.45605 16.29516666666667
123 32 2 2 55960 SS 5.0 25 0.05 9.8242 16.29516666666667
124 32 2 2 55960 SS 5.0 25 0.05 39.2968 16.29516666666667
125 32 2 2 55960 SS 5.0 25 0.4 2.45605 16.29516666666667
126 32 2 2 55960 SS 5.0 25 0.4 9.8242 16.29516666666667
127 32 2 2 55960 SS 5.0 25 0.4 39.2968 16.29516666666667
128 32 2 2 55960 TT 3.6 25 0.0125 2.45605 6.273288888888889
129 32 2 2 55960 TT 3.6 25 0.0125 9.8242 6.273288888888889
130 32 2 2 55960 TT 3.6 25 0.0125 39.2968 6.273288888888889
131 32 2 2 55960 TT 3.6 25 0.05 2.45605 6.273288888888889
132 32 2 2 55960 TT 3.6 25 0.05 9.8242 6.273288888888889
133 32 2 2 55960 TT 3.6 25 0.05 39.2968 6.273288888888889
134 32 2 2 55960 TT 3.6 25 0.4 2.45605 6.273288888888889
135 32 2 2 55960 TT 3.6 25 0.4 9.8242 6.273288888888889
136 32 2 2 55960 TT 3.6 25 0.4 39.2968 6.273288888888889
137 16 3 1 49288 FF 5.0 25 0.0125 2.45605 17.8174
138 16 3 1 49288 FF 5.0 25 0.0125 9.8242 17.8174
139 16 3 1 49288 FF 5.0 25 0.0125 39.2968 17.8174
140 16 3 1 49288 FF 5.0 25 0.05 2.45605 17.8174
141 16 3 1 49288 FF 5.0 25 0.05 9.8242 17.8174
142 16 3 1 49288 FF 5.0 25 0.05 39.2968 17.8174
143 16 3 1 49288 FF 5.0 25 0.4 2.45605 17.8174
144 16 3 1 49288 FF 5.0 25 0.4 9.8242 17.8174
145 16 3 1 49288 FF 5.0 25 0.4 39.2968 17.8174
146 16 3 1 49288 SS 5.0 25 0.0125 2.45605 16.06187777777778
147 16 3 1 49288 SS 5.0 25 0.0125 9.8242 16.06187777777778
148 16 3 1 49288 SS 5.0 25 0.0125 39.2968 16.06187777777778
149 16 3 1 49288 SS 5.0 25 0.05 2.45605 16.06187777777778
150 16 3 1 49288 SS 5.0 25 0.05 9.8242 16.06187777777778
151 16 3 1 49288 SS 5.0 25 0.05 39.2968 16.06187777777778
152 16 3 1 49288 SS 5.0 25 0.4 2.45605 16.06187777777778
153 16 3 1 49288 SS 5.0 25 0.4 9.8242 16.06187777777778
154 16 3 1 49288 SS 5.0 25 0.4 39.2968 16.06187777777778
155 16 3 1 49288 TT 3.6 25 0.0125 2.45605 6.1565666666666665
156 16 3 1 49288 TT 3.6 25 0.0125 9.8242 6.1565666666666665
157 16 3 1 49288 TT 3.6 25 0.0125 39.2968 6.1565666666666665
158 16 3 1 49288 TT 3.6 25 0.05 2.45605 6.1565666666666665
159 16 3 1 49288 TT 3.6 25 0.05 9.8242 6.1565666666666665
160 16 3 1 49288 TT 3.6 25 0.05 39.2968 6.1565666666666665
161 16 3 1 49288 TT 3.6 25 0.4 2.45605 6.1565666666666665
162 16 3 1 49288 TT 3.6 25 0.4 9.8242 6.1565666666666665
163 16 3 1 49288 TT 3.6 25 0.4 39.2968 6.1565666666666665
164 64 1 4 56307 FF 5.0 25 0.0125 2.45605 17.734988888888886
165 64 1 4 56307 FF 5.0 25 0.0125 9.8242 17.734988888888886
166 64 1 4 56307 FF 5.0 25 0.0125 39.2968 17.734988888888886
167 64 1 4 56307 FF 5.0 25 0.05 2.45605 17.734988888888886
168 64 1 4 56307 FF 5.0 25 0.05 9.8242 17.734988888888886
169 64 1 4 56307 FF 5.0 25 0.05 39.2968 17.734988888888886
170 64 1 4 56307 FF 5.0 25 0.4 2.45605 17.734988888888886
171 64 1 4 56307 FF 5.0 25 0.4 9.8242 17.734988888888886
172 64 1 4 56307 FF 5.0 25 0.4 39.2968 17.734988888888886
173 64 1 4 56307 SS 5.0 25 0.0125 2.45605 16.84127777777778
174 64 1 4 56307 SS 5.0 25 0.0125 9.8242 16.84127777777778
175 64 1 4 56307 SS 5.0 25 0.0125 39.2968 16.84127777777778
176 64 1 4 56307 SS 5.0 25 0.05 2.45605 16.84127777777778
177 64 1 4 56307 SS 5.0 25 0.05 9.8242 16.84127777777778
178 64 1 4 56307 SS 5.0 25 0.05 39.2968 16.84127777777778
179 64 1 4 56307 SS 5.0 25 0.4 2.45605 16.84127777777778
180 64 1 4 56307 SS 5.0 25 0.4 9.8242 16.84127777777778
181 64 1 4 56307 SS 5.0 25 0.4 39.2968 16.84127777777778
182 64 1 4 56307 TT 3.6 25 0.0125 2.45605 6.42288888888889
183 64 1 4 56307 TT 3.6 25 0.0125 9.8242 6.42288888888889
184 64 1 4 56307 TT 3.6 25 0.0125 39.2968 6.42288888888889
185 64 1 4 56307 TT 3.6 25 0.05 2.45605 6.42288888888889
186 64 1 4 56307 TT 3.6 25 0.05 9.8242 6.42288888888889
187 64 1 4 56307 TT 3.6 25 0.05 39.2968 6.42288888888889
188 64 1 4 56307 TT 3.6 25 0.4 2.45605 6.42288888888889
189 64 1 4 56307 TT 3.6 25 0.4 9.8242 6.42288888888889
190 64 1 4 56307 TT 3.6 25 0.4 39.2968 6.42288888888889
191 32 1 2 50620 FF 5.0 25 0.0125 2.45605 16.541811111111112
192 32 1 2 50620 FF 5.0 25 0.0125 9.8242 16.541811111111112
193 32 1 2 50620 FF 5.0 25 0.0125 39.2968 16.541811111111112
194 32 1 2 50620 FF 5.0 25 0.05 2.45605 16.541811111111112
195 32 1 2 50620 FF 5.0 25 0.05 9.8242 16.541811111111112
196 32 1 2 50620 FF 5.0 25 0.05 39.2968 16.541811111111112
197 32 1 2 50620 FF 5.0 25 0.4 2.45605 16.541811111111112
198 32 1 2 50620 FF 5.0 25 0.4 9.8242 16.541811111111112
199 32 1 2 50620 FF 5.0 25 0.4 39.2968 16.541811111111112
200 32 1 2 50620 SS 5.0 25 0.0125 2.45605 15.645522222222224
201 32 1 2 50620 SS 5.0 25 0.0125 9.8242 15.645522222222224
202 32 1 2 50620 SS 5.0 25 0.0125 39.2968 15.645522222222224
203 32 1 2 50620 SS 5.0 25 0.05 2.45605 15.645522222222224
204 32 1 2 50620 SS 5.0 25 0.05 9.8242 15.645522222222224
205 32 1 2 50620 SS 5.0 25 0.05 39.2968 15.645522222222224
206 32 1 2 50620 SS 5.0 25 0.4 2.45605 15.645522222222224
207 32 1 2 50620 SS 5.0 25 0.4 9.8242 15.645522222222224
208 32 1 2 50620 SS 5.0 25 0.4 39.2968 15.645522222222224
209 32 1 2 50620 TT 3.6 25 0.0125 2.45605 5.9442666666666675
210 32 1 2 50620 TT 3.6 25 0.0125 9.8242 5.9442666666666675
211 32 1 2 50620 TT 3.6 25 0.0125 39.2968 5.9442666666666675
212 32 1 2 50620 TT 3.6 25 0.05 2.45605 5.9442666666666675
213 32 1 2 50620 TT 3.6 25 0.05 9.8242 5.9442666666666675
214 32 1 2 50620 TT 3.6 25 0.05 39.2968 5.9442666666666675
215 32 1 2 50620 TT 3.6 25 0.4 2.45605 5.9442666666666675
216 32 1 2 50620 TT 3.6 25 0.4 9.8242 5.9442666666666675
217 32 1 2 50620 TT 3.6 25 0.4 39.2968 5.9442666666666675
218 16 4 1 51796 FF 5.0 25 0.0125 2.45605 18.936366666666668
219 16 4 1 51796 FF 5.0 25 0.0125 9.8242 18.936366666666668
220 16 4 1 51796 FF 5.0 25 0.0125 39.2968 18.936366666666668
221 16 4 1 51796 FF 5.0 25 0.05 2.45605 18.936366666666668
222 16 4 1 51796 FF 5.0 25 0.05 9.8242 18.936366666666668
223 16 4 1 51796 FF 5.0 25 0.05 39.2968 18.936366666666668
224 16 4 1 51796 FF 5.0 25 0.4 2.45605 18.936366666666668
225 16 4 1 51796 FF 5.0 25 0.4 9.8242 18.936366666666668
226 16 4 1 51796 FF 5.0 25 0.4 39.2968 18.936366666666668
227 16 4 1 51796 SS 5.0 25 0.0125 2.45605 17.10342222222222
228 16 4 1 51796 SS 5.0 25 0.0125 9.8242 17.10342222222222
229 16 4 1 51796 SS 5.0 25 0.0125 39.2968 17.10342222222222
230 16 4 1 51796 SS 5.0 25 0.05 2.45605 17.10342222222222
231 16 4 1 51796 SS 5.0 25 0.05 9.8242 17.10342222222222
232 16 4 1 51796 SS 5.0 25 0.05 39.2968 17.10342222222222
233 16 4 1 51796 SS 5.0 25 0.4 2.45605 17.10342222222222
234 16 4 1 51796 SS 5.0 25 0.4 9.8242 17.10342222222222
235 16 4 1 51796 SS 5.0 25 0.4 39.2968 17.10342222222222
236 16 4 1 51796 TT 5.0 25 0.0125 2.45605 17.458644444444445
237 16 4 1 51796 TT 5.0 25 0.0125 9.8242 17.458644444444445
238 16 4 1 51796 TT 5.0 25 0.0125 39.2968 17.458644444444445
239 16 4 1 51796 TT 5.0 25 0.05 2.45605 17.458644444444445
240 16 4 1 51796 TT 5.0 25 0.05 9.8242 17.458644444444445
241 16 4 1 51796 TT 5.0 25 0.05 39.2968 17.458644444444445
242 16 4 1 51796 TT 5.0 25 0.4 2.45605 17.458644444444445
243 16 4 1 51796 TT 5.0 25 0.4 9.8242 17.458644444444445
244 16 4 1 51796 TT 5.0 25 0.4 39.2968 17.458644444444445

View File

@ -1,244 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,rise_delay
16,2,1,46853,FF,5.0,25,0.0125,2.45605,1.4938000000000002
16,2,1,46853,FF,5.0,25,0.0125,9.8242,1.5326
16,2,1,46853,FF,5.0,25,0.0125,39.2968,1.6802000000000001
16,2,1,46853,FF,5.0,25,0.05,2.45605,1.4975
16,2,1,46853,FF,5.0,25,0.05,9.8242,1.5366
16,2,1,46853,FF,5.0,25,0.05,39.2968,1.6841
16,2,1,46853,FF,5.0,25,0.4,2.45605,1.5540000000000003
16,2,1,46853,FF,5.0,25,0.4,9.8242,1.5933000000000002
16,2,1,46853,FF,5.0,25,0.4,39.2968,1.7406
16,2,1,46853,SS,5.0,25,0.0125,2.45605,1.546
16,2,1,46853,SS,5.0,25,0.0125,9.8242,1.5871
16,2,1,46853,SS,5.0,25,0.0125,39.2968,1.7390000000000003
16,2,1,46853,SS,5.0,25,0.05,2.45605,1.5518
16,2,1,46853,SS,5.0,25,0.05,9.8242,1.5922
16,2,1,46853,SS,5.0,25,0.05,39.2968,1.7441
16,2,1,46853,SS,5.0,25,0.4,2.45605,1.6087
16,2,1,46853,SS,5.0,25,0.4,9.8242,1.6503
16,2,1,46853,SS,5.0,25,0.4,39.2968,1.8022
16,2,1,46853,TT,3.6,25,0.0125,2.45605,1.8344000000000003
16,2,1,46853,TT,3.6,25,0.0125,9.8242,1.8822000000000003
16,2,1,46853,TT,3.6,25,0.0125,39.2968,2.0635000000000003
16,2,1,46853,TT,3.6,25,0.05,2.45605,1.8402
16,2,1,46853,TT,3.6,25,0.05,9.8242,1.8872000000000002
16,2,1,46853,TT,3.6,25,0.05,39.2968,2.0700000000000003
16,2,1,46853,TT,3.6,25,0.4,2.45605,1.9033000000000002
16,2,1,46853,TT,3.6,25,0.4,9.8242,1.9512
16,2,1,46853,TT,3.6,25,0.4,39.2968,2.1324
64,2,4,66821,FF,5.0,25,0.0125,2.45605,1.8070000000000002
64,2,4,66821,FF,5.0,25,0.0125,9.8242,1.8492
64,2,4,66821,FF,5.0,25,0.0125,39.2968,2.0125
64,2,4,66821,FF,5.0,25,0.05,2.45605,1.811
64,2,4,66821,FF,5.0,25,0.05,9.8242,1.8535000000000001
64,2,4,66821,FF,5.0,25,0.05,39.2968,2.016
64,2,4,66821,FF,5.0,25,0.4,2.45605,1.8676000000000001
64,2,4,66821,FF,5.0,25,0.4,9.8242,1.9101
64,2,4,66821,FF,5.0,25,0.4,39.2968,2.0732000000000004
64,2,4,66821,SS,5.0,25,0.0125,2.45605,1.8638000000000001
64,2,4,66821,SS,5.0,25,0.0125,9.8242,1.9071000000000002
64,2,4,66821,SS,5.0,25,0.0125,39.2968,2.0763
64,2,4,66821,SS,5.0,25,0.05,2.45605,1.8675
64,2,4,66821,SS,5.0,25,0.05,9.8242,1.9116
64,2,4,66821,SS,5.0,25,0.05,39.2968,2.0798
64,2,4,66821,SS,5.0,25,0.4,2.45605,1.9269
64,2,4,66821,SS,5.0,25,0.4,9.8242,1.9710000000000003
64,2,4,66821,SS,5.0,25,0.4,39.2968,2.1389
64,2,4,66821,TT,3.6,25,0.0125,2.45605,2.2213
64,2,4,66821,TT,3.6,25,0.0125,9.8242,2.2757000000000005
64,2,4,66821,TT,3.6,25,0.0125,39.2968,2.4855
64,2,4,66821,TT,3.6,25,0.05,2.45605,2.2262
64,2,4,66821,TT,3.6,25,0.05,9.8242,2.281
64,2,4,66821,TT,3.6,25,0.05,39.2968,2.4907
64,2,4,66821,TT,3.6,25,0.4,2.45605,2.2909000000000006
64,2,4,66821,TT,3.6,25,0.4,9.8242,2.3447
64,2,4,66821,TT,3.6,25,0.4,39.2968,2.5554
16,1,1,44918,FF,5.0,25,0.0125,2.45605,1.4932
16,1,1,44918,FF,5.0,25,0.0125,9.8242,1.5311000000000001
16,1,1,44918,FF,5.0,25,0.0125,39.2968,1.6784
16,1,1,44918,FF,5.0,25,0.05,2.45605,1.4969000000000001
16,1,1,44918,FF,5.0,25,0.05,9.8242,1.5359
16,1,1,44918,FF,5.0,25,0.05,39.2968,1.6818000000000002
16,1,1,44918,FF,5.0,25,0.4,2.45605,1.5468000000000002
16,1,1,44918,FF,5.0,25,0.4,9.8242,1.5872000000000002
16,1,1,44918,FF,5.0,25,0.4,39.2968,1.732
16,1,1,44918,SS,5.0,25,0.0125,2.45605,1.5465
16,1,1,44918,SS,5.0,25,0.0125,9.8242,1.5855
16,1,1,44918,SS,5.0,25,0.0125,39.2968,1.7358000000000002
16,1,1,44918,SS,5.0,25,0.05,2.45605,1.5502
16,1,1,44918,SS,5.0,25,0.05,9.8242,1.5898000000000003
16,1,1,44918,SS,5.0,25,0.05,39.2968,1.7407
16,1,1,44918,SS,5.0,25,0.4,2.45605,1.6046000000000002
16,1,1,44918,SS,5.0,25,0.4,9.8242,1.6447
16,1,1,44918,SS,5.0,25,0.4,39.2968,1.7955000000000003
16,1,1,44918,TT,3.6,25,0.0125,2.45605,1.8358000000000003
16,1,1,44918,TT,3.6,25,0.0125,9.8242,1.8833
16,1,1,44918,TT,3.6,25,0.0125,39.2968,2.0637
16,1,1,44918,TT,3.6,25,0.05,2.45605,1.8410000000000002
16,1,1,44918,TT,3.6,25,0.05,9.8242,1.8883
16,1,1,44918,TT,3.6,25,0.05,39.2968,2.0690000000000004
16,1,1,44918,TT,3.6,25,0.4,2.45605,1.8998
16,1,1,44918,TT,3.6,25,0.4,9.8242,1.9467000000000003
16,1,1,44918,TT,3.6,25,0.4,39.2968,2.1277
32,3,2,61533,FF,5.0,25,0.0125,2.45605,1.7466
32,3,2,61533,FF,5.0,25,0.0125,9.8242,1.7888000000000002
32,3,2,61533,FF,5.0,25,0.0125,39.2968,1.951
32,3,2,61533,FF,5.0,25,0.05,2.45605,1.7509000000000001
32,3,2,61533,FF,5.0,25,0.05,9.8242,1.7935000000000003
32,3,2,61533,FF,5.0,25,0.05,39.2968,1.9557000000000002
32,3,2,61533,FF,5.0,25,0.4,2.45605,1.8069
32,3,2,61533,FF,5.0,25,0.4,9.8242,1.8495000000000001
32,3,2,61533,FF,5.0,25,0.4,39.2968,2.0117
32,3,2,61533,SS,5.0,25,0.0125,2.45605,1.8027
32,3,2,61533,SS,5.0,25,0.0125,9.8242,1.8469000000000002
32,3,2,61533,SS,5.0,25,0.0125,39.2968,2.0147
32,3,2,61533,SS,5.0,25,0.05,2.45605,1.8072000000000001
32,3,2,61533,SS,5.0,25,0.05,9.8242,1.8516000000000001
32,3,2,61533,SS,5.0,25,0.05,39.2968,2.0192
32,3,2,61533,SS,5.0,25,0.4,2.45605,1.8658
32,3,2,61533,SS,5.0,25,0.4,9.8242,1.9107
32,3,2,61533,SS,5.0,25,0.4,39.2968,2.079
32,3,2,61533,TT,3.6,25,0.0125,2.45605,2.1397
32,3,2,61533,TT,3.6,25,0.0125,9.8242,2.1948
32,3,2,61533,TT,3.6,25,0.0125,39.2968,2.4041000000000006
32,3,2,61533,TT,3.6,25,0.05,2.45605,2.1449
32,3,2,61533,TT,3.6,25,0.05,9.8242,2.1999000000000004
32,3,2,61533,TT,3.6,25,0.05,39.2968,2.4093
32,3,2,61533,TT,3.6,25,0.4,2.45605,2.2086000000000006
32,3,2,61533,TT,3.6,25,0.4,9.8242,2.2639
32,3,2,61533,TT,3.6,25,0.4,39.2968,2.4734000000000003
32,2,2,55960,FF,5.0,25,0.0125,2.45605,1.7161000000000002
32,2,2,55960,FF,5.0,25,0.0125,9.8242,1.7588
32,2,2,55960,FF,5.0,25,0.0125,39.2968,1.9199
32,2,2,55960,FF,5.0,25,0.05,2.45605,1.72
32,2,2,55960,FF,5.0,25,0.05,9.8242,1.7622000000000002
32,2,2,55960,FF,5.0,25,0.05,39.2968,1.9238
32,2,2,55960,FF,5.0,25,0.4,2.45605,1.7759000000000003
32,2,2,55960,FF,5.0,25,0.4,9.8242,1.8184
32,2,2,55960,FF,5.0,25,0.4,39.2968,1.9794
32,2,2,55960,SS,5.0,25,0.0125,2.45605,1.7713000000000003
32,2,2,55960,SS,5.0,25,0.0125,9.8242,1.8156000000000003
32,2,2,55960,SS,5.0,25,0.0125,39.2968,1.9823000000000002
32,2,2,55960,SS,5.0,25,0.05,2.45605,1.7763000000000002
32,2,2,55960,SS,5.0,25,0.05,9.8242,1.8201
32,2,2,55960,SS,5.0,25,0.05,39.2968,1.9870000000000003
32,2,2,55960,SS,5.0,25,0.4,2.45605,1.8341
32,2,2,55960,SS,5.0,25,0.4,9.8242,1.8781000000000003
32,2,2,55960,SS,5.0,25,0.4,39.2968,2.0451
32,2,2,55960,TT,3.6,25,0.0125,2.45605,2.1025
32,2,2,55960,TT,3.6,25,0.0125,9.8242,2.1574
32,2,2,55960,TT,3.6,25,0.0125,39.2968,2.366
32,2,2,55960,TT,3.6,25,0.05,2.45605,2.1063
32,2,2,55960,TT,3.6,25,0.05,9.8242,2.1612
32,2,2,55960,TT,3.6,25,0.05,39.2968,2.3698
32,2,2,55960,TT,3.6,25,0.4,2.45605,2.1703
32,2,2,55960,TT,3.6,25,0.4,9.8242,2.2248000000000006
32,2,2,55960,TT,3.6,25,0.4,39.2968,2.4334
16,3,1,49288,FF,5.0,25,0.0125,2.45605,1.5062
16,3,1,49288,FF,5.0,25,0.0125,9.8242,1.5456
16,3,1,49288,FF,5.0,25,0.0125,39.2968,1.6936
16,3,1,49288,FF,5.0,25,0.05,2.45605,1.5117
16,3,1,49288,FF,5.0,25,0.05,9.8242,1.5506
16,3,1,49288,FF,5.0,25,0.05,39.2968,1.6983
16,3,1,49288,FF,5.0,25,0.4,2.45605,1.5674
16,3,1,49288,FF,5.0,25,0.4,9.8242,1.6067
16,3,1,49288,FF,5.0,25,0.4,39.2968,1.7538
16,3,1,49288,SS,5.0,25,0.0125,2.45605,1.5613
16,3,1,49288,SS,5.0,25,0.0125,9.8242,1.6019000000000003
16,3,1,49288,SS,5.0,25,0.0125,39.2968,1.7544
16,3,1,49288,SS,5.0,25,0.05,2.45605,1.5662000000000003
16,3,1,49288,SS,5.0,25,0.05,9.8242,1.6061000000000003
16,3,1,49288,SS,5.0,25,0.05,39.2968,1.7587000000000002
16,3,1,49288,SS,5.0,25,0.4,2.45605,1.6242000000000003
16,3,1,49288,SS,5.0,25,0.4,9.8242,1.6645
16,3,1,49288,SS,5.0,25,0.4,39.2968,1.817
16,3,1,49288,TT,3.6,25,0.0125,2.45605,1.8522000000000003
16,3,1,49288,TT,3.6,25,0.0125,9.8242,1.9004
16,3,1,49288,TT,3.6,25,0.0125,39.2968,2.0833
16,3,1,49288,TT,3.6,25,0.05,2.45605,1.8586000000000003
16,3,1,49288,TT,3.6,25,0.05,9.8242,1.9065000000000003
16,3,1,49288,TT,3.6,25,0.05,39.2968,2.0888
16,3,1,49288,TT,3.6,25,0.4,2.45605,1.9209000000000003
16,3,1,49288,TT,3.6,25,0.4,9.8242,1.9689
16,3,1,49288,TT,3.6,25,0.4,39.2968,2.1510000000000002
64,1,4,56307,FF,5.0,25,0.0125,2.45605,1.7980000000000003
64,1,4,56307,FF,5.0,25,0.0125,9.8242,1.8410000000000002
64,1,4,56307,FF,5.0,25,0.0125,39.2968,2.0055
64,1,4,56307,FF,5.0,25,0.05,2.45605,1.8018
64,1,4,56307,FF,5.0,25,0.05,9.8242,1.8449000000000002
64,1,4,56307,FF,5.0,25,0.05,39.2968,2.0094000000000003
64,1,4,56307,FF,5.0,25,0.4,2.45605,1.8579
64,1,4,56307,FF,5.0,25,0.4,9.8242,1.9013
64,1,4,56307,FF,5.0,25,0.4,39.2968,2.0651
64,1,4,56307,SS,5.0,25,0.0125,2.45605,1.8547000000000002
64,1,4,56307,SS,5.0,25,0.0125,9.8242,1.8986
64,1,4,56307,SS,5.0,25,0.0125,39.2968,2.0683
64,1,4,56307,SS,5.0,25,0.05,2.45605,1.8586000000000003
64,1,4,56307,SS,5.0,25,0.05,9.8242,1.9023000000000003
64,1,4,56307,SS,5.0,25,0.05,39.2968,2.0722000000000005
64,1,4,56307,SS,5.0,25,0.4,2.45605,1.9177000000000002
64,1,4,56307,SS,5.0,25,0.4,9.8242,1.9612000000000003
64,1,4,56307,SS,5.0,25,0.4,39.2968,2.1309
64,1,4,56307,TT,3.6,25,0.0125,2.45605,2.2058
64,1,4,56307,TT,3.6,25,0.0125,9.8242,2.2605000000000004
64,1,4,56307,TT,3.6,25,0.0125,39.2968,2.4711
64,1,4,56307,TT,3.6,25,0.05,2.45605,2.2114000000000003
64,1,4,56307,TT,3.6,25,0.05,9.8242,2.2665
64,1,4,56307,TT,3.6,25,0.05,39.2968,2.4763
64,1,4,56307,TT,3.6,25,0.4,2.45605,2.275
64,1,4,56307,TT,3.6,25,0.4,9.8242,2.3298000000000005
64,1,4,56307,TT,3.6,25,0.4,39.2968,2.5404
32,1,2,50620,FF,5.0,25,0.0125,2.45605,1.6865
32,1,2,50620,FF,5.0,25,0.0125,9.8242,1.7291
32,1,2,50620,FF,5.0,25,0.0125,39.2968,1.8895000000000002
32,1,2,50620,FF,5.0,25,0.05,2.45605,1.6914000000000002
32,1,2,50620,FF,5.0,25,0.05,9.8242,1.7333000000000003
32,1,2,50620,FF,5.0,25,0.05,39.2968,1.8939
32,1,2,50620,FF,5.0,25,0.4,2.45605,1.7472
32,1,2,50620,FF,5.0,25,0.4,9.8242,1.7880000000000003
32,1,2,50620,FF,5.0,25,0.4,39.2968,1.9504000000000001
32,1,2,50620,SS,5.0,25,0.0125,2.45605,1.7409000000000001
32,1,2,50620,SS,5.0,25,0.0125,9.8242,1.7842
32,1,2,50620,SS,5.0,25,0.0125,39.2968,1.9504000000000001
32,1,2,50620,SS,5.0,25,0.05,2.45605,1.7450000000000003
32,1,2,50620,SS,5.0,25,0.05,9.8242,1.7885000000000002
32,1,2,50620,SS,5.0,25,0.05,39.2968,1.9549000000000003
32,1,2,50620,SS,5.0,25,0.4,2.45605,1.8043
32,1,2,50620,SS,5.0,25,0.4,9.8242,1.8470000000000002
32,1,2,50620,SS,5.0,25,0.4,39.2968,2.0142
32,1,2,50620,TT,3.6,25,0.0125,2.45605,2.0660000000000003
32,1,2,50620,TT,3.6,25,0.0125,9.8242,2.1195
32,1,2,50620,TT,3.6,25,0.0125,39.2968,2.3282
32,1,2,50620,TT,3.6,25,0.05,2.45605,2.0698
32,1,2,50620,TT,3.6,25,0.05,9.8242,2.1242
32,1,2,50620,TT,3.6,25,0.05,39.2968,2.3331
32,1,2,50620,TT,3.6,25,0.4,2.45605,2.1344
32,1,2,50620,TT,3.6,25,0.4,9.8242,2.1888
32,1,2,50620,TT,3.6,25,0.4,39.2968,2.3966000000000003
16,4,1,51796,FF,5.0,25,0.0125,2.45605,1.5255
16,4,1,51796,FF,5.0,25,0.0125,9.8242,1.5651000000000002
16,4,1,51796,FF,5.0,25,0.0125,39.2968,1.7136000000000002
16,4,1,51796,FF,5.0,25,0.05,2.45605,1.5287000000000002
16,4,1,51796,FF,5.0,25,0.05,9.8242,1.5694
16,4,1,51796,FF,5.0,25,0.05,39.2968,1.7179
16,4,1,51796,FF,5.0,25,0.4,2.45605,1.5851
16,4,1,51796,FF,5.0,25,0.4,9.8242,1.6246000000000003
16,4,1,51796,FF,5.0,25,0.4,39.2968,1.7731
16,4,1,51796,SS,5.0,25,0.0125,2.45605,1.5803000000000003
16,4,1,51796,SS,5.0,25,0.0125,9.8242,1.6209
16,4,1,51796,SS,5.0,25,0.0125,39.2968,1.7744
16,4,1,51796,SS,5.0,25,0.05,2.45605,1.5839
16,4,1,51796,SS,5.0,25,0.05,9.8242,1.6246000000000003
16,4,1,51796,SS,5.0,25,0.05,39.2968,1.7778000000000003
16,4,1,51796,SS,5.0,25,0.4,2.45605,1.6416
16,4,1,51796,SS,5.0,25,0.4,9.8242,1.6837000000000002
16,4,1,51796,SS,5.0,25,0.4,39.2968,1.8361
16,4,1,51796,TT,5.0,25,0.0125,2.45605,1.5574000000000001
16,4,1,51796,TT,5.0,25,0.0125,9.8242,1.5984000000000003
16,4,1,51796,TT,5.0,25,0.0125,39.2968,1.7492
16,4,1,51796,TT,5.0,25,0.05,2.45605,1.5622
16,4,1,51796,TT,5.0,25,0.05,9.8242,1.6025000000000003
16,4,1,51796,TT,5.0,25,0.05,39.2968,1.7526000000000002
16,4,1,51796,TT,5.0,25,0.4,2.45605,1.618
16,4,1,51796,TT,5.0,25,0.4,9.8242,1.6577
16,4,1,51796,TT,5.0,25,0.4,39.2968,1.8096000000000003
1 num_words word_size words_per_row area process voltage temperature slew load rise_delay
2 16 2 1 46853 FF 5.0 25 0.0125 2.45605 1.4938000000000002
3 16 2 1 46853 FF 5.0 25 0.0125 9.8242 1.5326
4 16 2 1 46853 FF 5.0 25 0.0125 39.2968 1.6802000000000001
5 16 2 1 46853 FF 5.0 25 0.05 2.45605 1.4975
6 16 2 1 46853 FF 5.0 25 0.05 9.8242 1.5366
7 16 2 1 46853 FF 5.0 25 0.05 39.2968 1.6841
8 16 2 1 46853 FF 5.0 25 0.4 2.45605 1.5540000000000003
9 16 2 1 46853 FF 5.0 25 0.4 9.8242 1.5933000000000002
10 16 2 1 46853 FF 5.0 25 0.4 39.2968 1.7406
11 16 2 1 46853 SS 5.0 25 0.0125 2.45605 1.546
12 16 2 1 46853 SS 5.0 25 0.0125 9.8242 1.5871
13 16 2 1 46853 SS 5.0 25 0.0125 39.2968 1.7390000000000003
14 16 2 1 46853 SS 5.0 25 0.05 2.45605 1.5518
15 16 2 1 46853 SS 5.0 25 0.05 9.8242 1.5922
16 16 2 1 46853 SS 5.0 25 0.05 39.2968 1.7441
17 16 2 1 46853 SS 5.0 25 0.4 2.45605 1.6087
18 16 2 1 46853 SS 5.0 25 0.4 9.8242 1.6503
19 16 2 1 46853 SS 5.0 25 0.4 39.2968 1.8022
20 16 2 1 46853 TT 3.6 25 0.0125 2.45605 1.8344000000000003
21 16 2 1 46853 TT 3.6 25 0.0125 9.8242 1.8822000000000003
22 16 2 1 46853 TT 3.6 25 0.0125 39.2968 2.0635000000000003
23 16 2 1 46853 TT 3.6 25 0.05 2.45605 1.8402
24 16 2 1 46853 TT 3.6 25 0.05 9.8242 1.8872000000000002
25 16 2 1 46853 TT 3.6 25 0.05 39.2968 2.0700000000000003
26 16 2 1 46853 TT 3.6 25 0.4 2.45605 1.9033000000000002
27 16 2 1 46853 TT 3.6 25 0.4 9.8242 1.9512
28 16 2 1 46853 TT 3.6 25 0.4 39.2968 2.1324
29 64 2 4 66821 FF 5.0 25 0.0125 2.45605 1.8070000000000002
30 64 2 4 66821 FF 5.0 25 0.0125 9.8242 1.8492
31 64 2 4 66821 FF 5.0 25 0.0125 39.2968 2.0125
32 64 2 4 66821 FF 5.0 25 0.05 2.45605 1.811
33 64 2 4 66821 FF 5.0 25 0.05 9.8242 1.8535000000000001
34 64 2 4 66821 FF 5.0 25 0.05 39.2968 2.016
35 64 2 4 66821 FF 5.0 25 0.4 2.45605 1.8676000000000001
36 64 2 4 66821 FF 5.0 25 0.4 9.8242 1.9101
37 64 2 4 66821 FF 5.0 25 0.4 39.2968 2.0732000000000004
38 64 2 4 66821 SS 5.0 25 0.0125 2.45605 1.8638000000000001
39 64 2 4 66821 SS 5.0 25 0.0125 9.8242 1.9071000000000002
40 64 2 4 66821 SS 5.0 25 0.0125 39.2968 2.0763
41 64 2 4 66821 SS 5.0 25 0.05 2.45605 1.8675
42 64 2 4 66821 SS 5.0 25 0.05 9.8242 1.9116
43 64 2 4 66821 SS 5.0 25 0.05 39.2968 2.0798
44 64 2 4 66821 SS 5.0 25 0.4 2.45605 1.9269
45 64 2 4 66821 SS 5.0 25 0.4 9.8242 1.9710000000000003
46 64 2 4 66821 SS 5.0 25 0.4 39.2968 2.1389
47 64 2 4 66821 TT 3.6 25 0.0125 2.45605 2.2213
48 64 2 4 66821 TT 3.6 25 0.0125 9.8242 2.2757000000000005
49 64 2 4 66821 TT 3.6 25 0.0125 39.2968 2.4855
50 64 2 4 66821 TT 3.6 25 0.05 2.45605 2.2262
51 64 2 4 66821 TT 3.6 25 0.05 9.8242 2.281
52 64 2 4 66821 TT 3.6 25 0.05 39.2968 2.4907
53 64 2 4 66821 TT 3.6 25 0.4 2.45605 2.2909000000000006
54 64 2 4 66821 TT 3.6 25 0.4 9.8242 2.3447
55 64 2 4 66821 TT 3.6 25 0.4 39.2968 2.5554
56 16 1 1 44918 FF 5.0 25 0.0125 2.45605 1.4932
57 16 1 1 44918 FF 5.0 25 0.0125 9.8242 1.5311000000000001
58 16 1 1 44918 FF 5.0 25 0.0125 39.2968 1.6784
59 16 1 1 44918 FF 5.0 25 0.05 2.45605 1.4969000000000001
60 16 1 1 44918 FF 5.0 25 0.05 9.8242 1.5359
61 16 1 1 44918 FF 5.0 25 0.05 39.2968 1.6818000000000002
62 16 1 1 44918 FF 5.0 25 0.4 2.45605 1.5468000000000002
63 16 1 1 44918 FF 5.0 25 0.4 9.8242 1.5872000000000002
64 16 1 1 44918 FF 5.0 25 0.4 39.2968 1.732
65 16 1 1 44918 SS 5.0 25 0.0125 2.45605 1.5465
66 16 1 1 44918 SS 5.0 25 0.0125 9.8242 1.5855
67 16 1 1 44918 SS 5.0 25 0.0125 39.2968 1.7358000000000002
68 16 1 1 44918 SS 5.0 25 0.05 2.45605 1.5502
69 16 1 1 44918 SS 5.0 25 0.05 9.8242 1.5898000000000003
70 16 1 1 44918 SS 5.0 25 0.05 39.2968 1.7407
71 16 1 1 44918 SS 5.0 25 0.4 2.45605 1.6046000000000002
72 16 1 1 44918 SS 5.0 25 0.4 9.8242 1.6447
73 16 1 1 44918 SS 5.0 25 0.4 39.2968 1.7955000000000003
74 16 1 1 44918 TT 3.6 25 0.0125 2.45605 1.8358000000000003
75 16 1 1 44918 TT 3.6 25 0.0125 9.8242 1.8833
76 16 1 1 44918 TT 3.6 25 0.0125 39.2968 2.0637
77 16 1 1 44918 TT 3.6 25 0.05 2.45605 1.8410000000000002
78 16 1 1 44918 TT 3.6 25 0.05 9.8242 1.8883
79 16 1 1 44918 TT 3.6 25 0.05 39.2968 2.0690000000000004
80 16 1 1 44918 TT 3.6 25 0.4 2.45605 1.8998
81 16 1 1 44918 TT 3.6 25 0.4 9.8242 1.9467000000000003
82 16 1 1 44918 TT 3.6 25 0.4 39.2968 2.1277
83 32 3 2 61533 FF 5.0 25 0.0125 2.45605 1.7466
84 32 3 2 61533 FF 5.0 25 0.0125 9.8242 1.7888000000000002
85 32 3 2 61533 FF 5.0 25 0.0125 39.2968 1.951
86 32 3 2 61533 FF 5.0 25 0.05 2.45605 1.7509000000000001
87 32 3 2 61533 FF 5.0 25 0.05 9.8242 1.7935000000000003
88 32 3 2 61533 FF 5.0 25 0.05 39.2968 1.9557000000000002
89 32 3 2 61533 FF 5.0 25 0.4 2.45605 1.8069
90 32 3 2 61533 FF 5.0 25 0.4 9.8242 1.8495000000000001
91 32 3 2 61533 FF 5.0 25 0.4 39.2968 2.0117
92 32 3 2 61533 SS 5.0 25 0.0125 2.45605 1.8027
93 32 3 2 61533 SS 5.0 25 0.0125 9.8242 1.8469000000000002
94 32 3 2 61533 SS 5.0 25 0.0125 39.2968 2.0147
95 32 3 2 61533 SS 5.0 25 0.05 2.45605 1.8072000000000001
96 32 3 2 61533 SS 5.0 25 0.05 9.8242 1.8516000000000001
97 32 3 2 61533 SS 5.0 25 0.05 39.2968 2.0192
98 32 3 2 61533 SS 5.0 25 0.4 2.45605 1.8658
99 32 3 2 61533 SS 5.0 25 0.4 9.8242 1.9107
100 32 3 2 61533 SS 5.0 25 0.4 39.2968 2.079
101 32 3 2 61533 TT 3.6 25 0.0125 2.45605 2.1397
102 32 3 2 61533 TT 3.6 25 0.0125 9.8242 2.1948
103 32 3 2 61533 TT 3.6 25 0.0125 39.2968 2.4041000000000006
104 32 3 2 61533 TT 3.6 25 0.05 2.45605 2.1449
105 32 3 2 61533 TT 3.6 25 0.05 9.8242 2.1999000000000004
106 32 3 2 61533 TT 3.6 25 0.05 39.2968 2.4093
107 32 3 2 61533 TT 3.6 25 0.4 2.45605 2.2086000000000006
108 32 3 2 61533 TT 3.6 25 0.4 9.8242 2.2639
109 32 3 2 61533 TT 3.6 25 0.4 39.2968 2.4734000000000003
110 32 2 2 55960 FF 5.0 25 0.0125 2.45605 1.7161000000000002
111 32 2 2 55960 FF 5.0 25 0.0125 9.8242 1.7588
112 32 2 2 55960 FF 5.0 25 0.0125 39.2968 1.9199
113 32 2 2 55960 FF 5.0 25 0.05 2.45605 1.72
114 32 2 2 55960 FF 5.0 25 0.05 9.8242 1.7622000000000002
115 32 2 2 55960 FF 5.0 25 0.05 39.2968 1.9238
116 32 2 2 55960 FF 5.0 25 0.4 2.45605 1.7759000000000003
117 32 2 2 55960 FF 5.0 25 0.4 9.8242 1.8184
118 32 2 2 55960 FF 5.0 25 0.4 39.2968 1.9794
119 32 2 2 55960 SS 5.0 25 0.0125 2.45605 1.7713000000000003
120 32 2 2 55960 SS 5.0 25 0.0125 9.8242 1.8156000000000003
121 32 2 2 55960 SS 5.0 25 0.0125 39.2968 1.9823000000000002
122 32 2 2 55960 SS 5.0 25 0.05 2.45605 1.7763000000000002
123 32 2 2 55960 SS 5.0 25 0.05 9.8242 1.8201
124 32 2 2 55960 SS 5.0 25 0.05 39.2968 1.9870000000000003
125 32 2 2 55960 SS 5.0 25 0.4 2.45605 1.8341
126 32 2 2 55960 SS 5.0 25 0.4 9.8242 1.8781000000000003
127 32 2 2 55960 SS 5.0 25 0.4 39.2968 2.0451
128 32 2 2 55960 TT 3.6 25 0.0125 2.45605 2.1025
129 32 2 2 55960 TT 3.6 25 0.0125 9.8242 2.1574
130 32 2 2 55960 TT 3.6 25 0.0125 39.2968 2.366
131 32 2 2 55960 TT 3.6 25 0.05 2.45605 2.1063
132 32 2 2 55960 TT 3.6 25 0.05 9.8242 2.1612
133 32 2 2 55960 TT 3.6 25 0.05 39.2968 2.3698
134 32 2 2 55960 TT 3.6 25 0.4 2.45605 2.1703
135 32 2 2 55960 TT 3.6 25 0.4 9.8242 2.2248000000000006
136 32 2 2 55960 TT 3.6 25 0.4 39.2968 2.4334
137 16 3 1 49288 FF 5.0 25 0.0125 2.45605 1.5062
138 16 3 1 49288 FF 5.0 25 0.0125 9.8242 1.5456
139 16 3 1 49288 FF 5.0 25 0.0125 39.2968 1.6936
140 16 3 1 49288 FF 5.0 25 0.05 2.45605 1.5117
141 16 3 1 49288 FF 5.0 25 0.05 9.8242 1.5506
142 16 3 1 49288 FF 5.0 25 0.05 39.2968 1.6983
143 16 3 1 49288 FF 5.0 25 0.4 2.45605 1.5674
144 16 3 1 49288 FF 5.0 25 0.4 9.8242 1.6067
145 16 3 1 49288 FF 5.0 25 0.4 39.2968 1.7538
146 16 3 1 49288 SS 5.0 25 0.0125 2.45605 1.5613
147 16 3 1 49288 SS 5.0 25 0.0125 9.8242 1.6019000000000003
148 16 3 1 49288 SS 5.0 25 0.0125 39.2968 1.7544
149 16 3 1 49288 SS 5.0 25 0.05 2.45605 1.5662000000000003
150 16 3 1 49288 SS 5.0 25 0.05 9.8242 1.6061000000000003
151 16 3 1 49288 SS 5.0 25 0.05 39.2968 1.7587000000000002
152 16 3 1 49288 SS 5.0 25 0.4 2.45605 1.6242000000000003
153 16 3 1 49288 SS 5.0 25 0.4 9.8242 1.6645
154 16 3 1 49288 SS 5.0 25 0.4 39.2968 1.817
155 16 3 1 49288 TT 3.6 25 0.0125 2.45605 1.8522000000000003
156 16 3 1 49288 TT 3.6 25 0.0125 9.8242 1.9004
157 16 3 1 49288 TT 3.6 25 0.0125 39.2968 2.0833
158 16 3 1 49288 TT 3.6 25 0.05 2.45605 1.8586000000000003
159 16 3 1 49288 TT 3.6 25 0.05 9.8242 1.9065000000000003
160 16 3 1 49288 TT 3.6 25 0.05 39.2968 2.0888
161 16 3 1 49288 TT 3.6 25 0.4 2.45605 1.9209000000000003
162 16 3 1 49288 TT 3.6 25 0.4 9.8242 1.9689
163 16 3 1 49288 TT 3.6 25 0.4 39.2968 2.1510000000000002
164 64 1 4 56307 FF 5.0 25 0.0125 2.45605 1.7980000000000003
165 64 1 4 56307 FF 5.0 25 0.0125 9.8242 1.8410000000000002
166 64 1 4 56307 FF 5.0 25 0.0125 39.2968 2.0055
167 64 1 4 56307 FF 5.0 25 0.05 2.45605 1.8018
168 64 1 4 56307 FF 5.0 25 0.05 9.8242 1.8449000000000002
169 64 1 4 56307 FF 5.0 25 0.05 39.2968 2.0094000000000003
170 64 1 4 56307 FF 5.0 25 0.4 2.45605 1.8579
171 64 1 4 56307 FF 5.0 25 0.4 9.8242 1.9013
172 64 1 4 56307 FF 5.0 25 0.4 39.2968 2.0651
173 64 1 4 56307 SS 5.0 25 0.0125 2.45605 1.8547000000000002
174 64 1 4 56307 SS 5.0 25 0.0125 9.8242 1.8986
175 64 1 4 56307 SS 5.0 25 0.0125 39.2968 2.0683
176 64 1 4 56307 SS 5.0 25 0.05 2.45605 1.8586000000000003
177 64 1 4 56307 SS 5.0 25 0.05 9.8242 1.9023000000000003
178 64 1 4 56307 SS 5.0 25 0.05 39.2968 2.0722000000000005
179 64 1 4 56307 SS 5.0 25 0.4 2.45605 1.9177000000000002
180 64 1 4 56307 SS 5.0 25 0.4 9.8242 1.9612000000000003
181 64 1 4 56307 SS 5.0 25 0.4 39.2968 2.1309
182 64 1 4 56307 TT 3.6 25 0.0125 2.45605 2.2058
183 64 1 4 56307 TT 3.6 25 0.0125 9.8242 2.2605000000000004
184 64 1 4 56307 TT 3.6 25 0.0125 39.2968 2.4711
185 64 1 4 56307 TT 3.6 25 0.05 2.45605 2.2114000000000003
186 64 1 4 56307 TT 3.6 25 0.05 9.8242 2.2665
187 64 1 4 56307 TT 3.6 25 0.05 39.2968 2.4763
188 64 1 4 56307 TT 3.6 25 0.4 2.45605 2.275
189 64 1 4 56307 TT 3.6 25 0.4 9.8242 2.3298000000000005
190 64 1 4 56307 TT 3.6 25 0.4 39.2968 2.5404
191 32 1 2 50620 FF 5.0 25 0.0125 2.45605 1.6865
192 32 1 2 50620 FF 5.0 25 0.0125 9.8242 1.7291
193 32 1 2 50620 FF 5.0 25 0.0125 39.2968 1.8895000000000002
194 32 1 2 50620 FF 5.0 25 0.05 2.45605 1.6914000000000002
195 32 1 2 50620 FF 5.0 25 0.05 9.8242 1.7333000000000003
196 32 1 2 50620 FF 5.0 25 0.05 39.2968 1.8939
197 32 1 2 50620 FF 5.0 25 0.4 2.45605 1.7472
198 32 1 2 50620 FF 5.0 25 0.4 9.8242 1.7880000000000003
199 32 1 2 50620 FF 5.0 25 0.4 39.2968 1.9504000000000001
200 32 1 2 50620 SS 5.0 25 0.0125 2.45605 1.7409000000000001
201 32 1 2 50620 SS 5.0 25 0.0125 9.8242 1.7842
202 32 1 2 50620 SS 5.0 25 0.0125 39.2968 1.9504000000000001
203 32 1 2 50620 SS 5.0 25 0.05 2.45605 1.7450000000000003
204 32 1 2 50620 SS 5.0 25 0.05 9.8242 1.7885000000000002
205 32 1 2 50620 SS 5.0 25 0.05 39.2968 1.9549000000000003
206 32 1 2 50620 SS 5.0 25 0.4 2.45605 1.8043
207 32 1 2 50620 SS 5.0 25 0.4 9.8242 1.8470000000000002
208 32 1 2 50620 SS 5.0 25 0.4 39.2968 2.0142
209 32 1 2 50620 TT 3.6 25 0.0125 2.45605 2.0660000000000003
210 32 1 2 50620 TT 3.6 25 0.0125 9.8242 2.1195
211 32 1 2 50620 TT 3.6 25 0.0125 39.2968 2.3282
212 32 1 2 50620 TT 3.6 25 0.05 2.45605 2.0698
213 32 1 2 50620 TT 3.6 25 0.05 9.8242 2.1242
214 32 1 2 50620 TT 3.6 25 0.05 39.2968 2.3331
215 32 1 2 50620 TT 3.6 25 0.4 2.45605 2.1344
216 32 1 2 50620 TT 3.6 25 0.4 9.8242 2.1888
217 32 1 2 50620 TT 3.6 25 0.4 39.2968 2.3966000000000003
218 16 4 1 51796 FF 5.0 25 0.0125 2.45605 1.5255
219 16 4 1 51796 FF 5.0 25 0.0125 9.8242 1.5651000000000002
220 16 4 1 51796 FF 5.0 25 0.0125 39.2968 1.7136000000000002
221 16 4 1 51796 FF 5.0 25 0.05 2.45605 1.5287000000000002
222 16 4 1 51796 FF 5.0 25 0.05 9.8242 1.5694
223 16 4 1 51796 FF 5.0 25 0.05 39.2968 1.7179
224 16 4 1 51796 FF 5.0 25 0.4 2.45605 1.5851
225 16 4 1 51796 FF 5.0 25 0.4 9.8242 1.6246000000000003
226 16 4 1 51796 FF 5.0 25 0.4 39.2968 1.7731
227 16 4 1 51796 SS 5.0 25 0.0125 2.45605 1.5803000000000003
228 16 4 1 51796 SS 5.0 25 0.0125 9.8242 1.6209
229 16 4 1 51796 SS 5.0 25 0.0125 39.2968 1.7744
230 16 4 1 51796 SS 5.0 25 0.05 2.45605 1.5839
231 16 4 1 51796 SS 5.0 25 0.05 9.8242 1.6246000000000003
232 16 4 1 51796 SS 5.0 25 0.05 39.2968 1.7778000000000003
233 16 4 1 51796 SS 5.0 25 0.4 2.45605 1.6416
234 16 4 1 51796 SS 5.0 25 0.4 9.8242 1.6837000000000002
235 16 4 1 51796 SS 5.0 25 0.4 39.2968 1.8361
236 16 4 1 51796 TT 5.0 25 0.0125 2.45605 1.5574000000000001
237 16 4 1 51796 TT 5.0 25 0.0125 9.8242 1.5984000000000003
238 16 4 1 51796 TT 5.0 25 0.0125 39.2968 1.7492
239 16 4 1 51796 TT 5.0 25 0.05 2.45605 1.5622
240 16 4 1 51796 TT 5.0 25 0.05 9.8242 1.6025000000000003
241 16 4 1 51796 TT 5.0 25 0.05 39.2968 1.7526000000000002
242 16 4 1 51796 TT 5.0 25 0.4 2.45605 1.618
243 16 4 1 51796 TT 5.0 25 0.4 9.8242 1.6577
244 16 4 1 51796 TT 5.0 25 0.4 39.2968 1.8096000000000003

View File

@ -1,244 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,rise_slew
16,2,1,46853,FF,5.0,25,0.0125,2.45605,1.7733000000000003
16,2,1,46853,FF,5.0,25,0.0125,9.8242,1.7797000000000003
16,2,1,46853,FF,5.0,25,0.0125,39.2968,1.8085000000000002
16,2,1,46853,FF,5.0,25,0.05,2.45605,1.7736
16,2,1,46853,FF,5.0,25,0.05,9.8242,1.7796
16,2,1,46853,FF,5.0,25,0.05,39.2968,1.8081000000000003
16,2,1,46853,FF,5.0,25,0.4,2.45605,1.774
16,2,1,46853,FF,5.0,25,0.4,9.8242,1.7812000000000001
16,2,1,46853,FF,5.0,25,0.4,39.2968,1.8084
16,2,1,46853,SS,5.0,25,0.0125,2.45605,1.8483
16,2,1,46853,SS,5.0,25,0.0125,9.8242,1.8552000000000002
16,2,1,46853,SS,5.0,25,0.0125,39.2968,1.8888000000000003
16,2,1,46853,SS,5.0,25,0.05,2.45605,1.8472
16,2,1,46853,SS,5.0,25,0.05,9.8242,1.8547000000000002
16,2,1,46853,SS,5.0,25,0.05,39.2968,1.8883
16,2,1,46853,SS,5.0,25,0.4,2.45605,1.8462
16,2,1,46853,SS,5.0,25,0.4,9.8242,1.8541000000000003
16,2,1,46853,SS,5.0,25,0.4,39.2968,1.8880000000000001
16,2,1,46853,TT,3.6,25,0.0125,2.45605,2.2169
16,2,1,46853,TT,3.6,25,0.0125,9.8242,2.2276000000000002
16,2,1,46853,TT,3.6,25,0.0125,39.2968,2.2752000000000003
16,2,1,46853,TT,3.6,25,0.05,2.45605,2.2169
16,2,1,46853,TT,3.6,25,0.05,9.8242,2.2274
16,2,1,46853,TT,3.6,25,0.05,39.2968,2.2752000000000003
16,2,1,46853,TT,3.6,25,0.4,2.45605,2.2155
16,2,1,46853,TT,3.6,25,0.4,9.8242,2.2265
16,2,1,46853,TT,3.6,25,0.4,39.2968,2.274
64,2,4,66821,FF,5.0,25,0.0125,2.45605,1.6523
64,2,4,66821,FF,5.0,25,0.0125,9.8242,1.6619
64,2,4,66821,FF,5.0,25,0.0125,39.2968,1.6992
64,2,4,66821,FF,5.0,25,0.05,2.45605,1.6526000000000003
64,2,4,66821,FF,5.0,25,0.05,9.8242,1.6615000000000002
64,2,4,66821,FF,5.0,25,0.05,39.2968,1.6989000000000003
64,2,4,66821,FF,5.0,25,0.4,2.45605,1.6514000000000002
64,2,4,66821,FF,5.0,25,0.4,9.8242,1.6621000000000001
64,2,4,66821,FF,5.0,25,0.4,39.2968,1.6979000000000002
64,2,4,66821,SS,5.0,25,0.0125,2.45605,1.7235
64,2,4,66821,SS,5.0,25,0.0125,9.8242,1.7336
64,2,4,66821,SS,5.0,25,0.0125,39.2968,1.7746
64,2,4,66821,SS,5.0,25,0.05,2.45605,1.7236
64,2,4,66821,SS,5.0,25,0.05,9.8242,1.7332
64,2,4,66821,SS,5.0,25,0.05,39.2968,1.7749
64,2,4,66821,SS,5.0,25,0.4,2.45605,1.7249
64,2,4,66821,SS,5.0,25,0.4,9.8242,1.7345
64,2,4,66821,SS,5.0,25,0.4,39.2968,1.7753000000000003
64,2,4,66821,TT,3.6,25,0.0125,2.45605,2.0566
64,2,4,66821,TT,3.6,25,0.0125,9.8242,2.0700000000000003
64,2,4,66821,TT,3.6,25,0.0125,39.2968,2.1247
64,2,4,66821,TT,3.6,25,0.05,2.45605,2.0569
64,2,4,66821,TT,3.6,25,0.05,9.8242,2.0712000000000006
64,2,4,66821,TT,3.6,25,0.05,39.2968,2.1243
64,2,4,66821,TT,3.6,25,0.4,2.45605,2.0575000000000006
64,2,4,66821,TT,3.6,25,0.4,9.8242,2.0712000000000006
64,2,4,66821,TT,3.6,25,0.4,39.2968,2.1244
16,1,1,44918,FF,5.0,25,0.0125,2.45605,1.7495000000000003
16,1,1,44918,FF,5.0,25,0.0125,9.8242,1.7561000000000002
16,1,1,44918,FF,5.0,25,0.0125,39.2968,1.7857
16,1,1,44918,FF,5.0,25,0.05,2.45605,1.7488
16,1,1,44918,FF,5.0,25,0.05,9.8242,1.7553
16,1,1,44918,FF,5.0,25,0.05,39.2968,1.7849000000000002
16,1,1,44918,FF,5.0,25,0.4,2.45605,1.7487
16,1,1,44918,FF,5.0,25,0.4,9.8242,1.7550000000000001
16,1,1,44918,FF,5.0,25,0.4,39.2968,1.7854000000000003
16,1,1,44918,SS,5.0,25,0.0125,2.45605,1.8221
16,1,1,44918,SS,5.0,25,0.0125,9.8242,1.8306
16,1,1,44918,SS,5.0,25,0.0125,39.2968,1.8645000000000003
16,1,1,44918,SS,5.0,25,0.05,2.45605,1.8229
16,1,1,44918,SS,5.0,25,0.05,9.8242,1.8298000000000003
16,1,1,44918,SS,5.0,25,0.05,39.2968,1.8645000000000003
16,1,1,44918,SS,5.0,25,0.4,2.45605,1.8223000000000003
16,1,1,44918,SS,5.0,25,0.4,9.8242,1.829
16,1,1,44918,SS,5.0,25,0.4,39.2968,1.8636000000000001
16,1,1,44918,TT,3.6,25,0.0125,2.45605,2.1882
16,1,1,44918,TT,3.6,25,0.0125,9.8242,2.199
16,1,1,44918,TT,3.6,25,0.0125,39.2968,2.2476
16,1,1,44918,TT,3.6,25,0.05,2.45605,2.1871
16,1,1,44918,TT,3.6,25,0.05,9.8242,2.198
16,1,1,44918,TT,3.6,25,0.05,39.2968,2.2471
16,1,1,44918,TT,3.6,25,0.4,2.45605,2.186
16,1,1,44918,TT,3.6,25,0.4,9.8242,2.1974000000000005
16,1,1,44918,TT,3.6,25,0.4,39.2968,2.2482
32,3,2,61533,FF,5.0,25,0.0125,2.45605,1.6930000000000003
32,3,2,61533,FF,5.0,25,0.0125,9.8242,1.7023
32,3,2,61533,FF,5.0,25,0.0125,39.2968,1.7384000000000002
32,3,2,61533,FF,5.0,25,0.05,2.45605,1.6936
32,3,2,61533,FF,5.0,25,0.05,9.8242,1.7029
32,3,2,61533,FF,5.0,25,0.05,39.2968,1.7383000000000002
32,3,2,61533,FF,5.0,25,0.4,2.45605,1.6926
32,3,2,61533,FF,5.0,25,0.4,9.8242,1.7030000000000003
32,3,2,61533,FF,5.0,25,0.4,39.2968,1.7383000000000002
32,3,2,61533,SS,5.0,25,0.0125,2.45605,1.7645
32,3,2,61533,SS,5.0,25,0.0125,9.8242,1.7747000000000002
32,3,2,61533,SS,5.0,25,0.0125,39.2968,1.815
32,3,2,61533,SS,5.0,25,0.05,2.45605,1.766
32,3,2,61533,SS,5.0,25,0.05,9.8242,1.7753000000000003
32,3,2,61533,SS,5.0,25,0.05,39.2968,1.8152000000000001
32,3,2,61533,SS,5.0,25,0.4,2.45605,1.7669
32,3,2,61533,SS,5.0,25,0.4,9.8242,1.777
32,3,2,61533,SS,5.0,25,0.4,39.2968,1.8152000000000001
32,3,2,61533,TT,3.6,25,0.0125,2.45605,2.1084000000000005
32,3,2,61533,TT,3.6,25,0.0125,9.8242,2.1226000000000003
32,3,2,61533,TT,3.6,25,0.0125,39.2968,2.1758
32,3,2,61533,TT,3.6,25,0.05,2.45605,2.1088
32,3,2,61533,TT,3.6,25,0.05,9.8242,2.1235
32,3,2,61533,TT,3.6,25,0.05,39.2968,2.1756
32,3,2,61533,TT,3.6,25,0.4,2.45605,2.1091000000000006
32,3,2,61533,TT,3.6,25,0.4,9.8242,2.1213000000000006
32,3,2,61533,TT,3.6,25,0.4,39.2968,2.1751
32,2,2,55960,FF,5.0,25,0.0125,2.45605,1.6751
32,2,2,55960,FF,5.0,25,0.0125,9.8242,1.6843000000000001
32,2,2,55960,FF,5.0,25,0.0125,39.2968,1.7199
32,2,2,55960,FF,5.0,25,0.05,2.45605,1.6754
32,2,2,55960,FF,5.0,25,0.05,9.8242,1.6838000000000002
32,2,2,55960,FF,5.0,25,0.05,39.2968,1.7202000000000002
32,2,2,55960,FF,5.0,25,0.4,2.45605,1.6771
32,2,2,55960,FF,5.0,25,0.4,9.8242,1.6857
32,2,2,55960,FF,5.0,25,0.4,39.2968,1.7212000000000003
32,2,2,55960,SS,5.0,25,0.0125,2.45605,1.7473
32,2,2,55960,SS,5.0,25,0.0125,9.8242,1.7574
32,2,2,55960,SS,5.0,25,0.0125,39.2968,1.7962
32,2,2,55960,SS,5.0,25,0.05,2.45605,1.7467
32,2,2,55960,SS,5.0,25,0.05,9.8242,1.7568
32,2,2,55960,SS,5.0,25,0.05,39.2968,1.7966000000000002
32,2,2,55960,SS,5.0,25,0.4,2.45605,1.7470000000000003
32,2,2,55960,SS,5.0,25,0.4,9.8242,1.7571000000000003
32,2,2,55960,SS,5.0,25,0.4,39.2968,1.7965000000000002
32,2,2,55960,TT,3.6,25,0.0125,2.45605,2.0848
32,2,2,55960,TT,3.6,25,0.0125,9.8242,2.0981
32,2,2,55960,TT,3.6,25,0.0125,39.2968,2.1533
32,2,2,55960,TT,3.6,25,0.05,2.45605,2.0851
32,2,2,55960,TT,3.6,25,0.05,9.8242,2.0985
32,2,2,55960,TT,3.6,25,0.05,39.2968,2.1534
32,2,2,55960,TT,3.6,25,0.4,2.45605,2.087
32,2,2,55960,TT,3.6,25,0.4,9.8242,2.1005
32,2,2,55960,TT,3.6,25,0.4,39.2968,2.1537
16,3,1,49288,FF,5.0,25,0.0125,2.45605,1.7972
16,3,1,49288,FF,5.0,25,0.0125,9.8242,1.8042
16,3,1,49288,FF,5.0,25,0.0125,39.2968,1.8323000000000003
16,3,1,49288,FF,5.0,25,0.05,2.45605,1.7976000000000003
16,3,1,49288,FF,5.0,25,0.05,9.8242,1.8042
16,3,1,49288,FF,5.0,25,0.05,39.2968,1.8332
16,3,1,49288,FF,5.0,25,0.4,2.45605,1.7986000000000002
16,3,1,49288,FF,5.0,25,0.4,9.8242,1.8053
16,3,1,49288,FF,5.0,25,0.4,39.2968,1.8329000000000002
16,3,1,49288,SS,5.0,25,0.0125,2.45605,1.8728
16,3,1,49288,SS,5.0,25,0.0125,9.8242,1.8801
16,3,1,49288,SS,5.0,25,0.0125,39.2968,1.9131
16,3,1,49288,SS,5.0,25,0.05,2.45605,1.873
16,3,1,49288,SS,5.0,25,0.05,9.8242,1.8798000000000001
16,3,1,49288,SS,5.0,25,0.05,39.2968,1.9137000000000002
16,3,1,49288,SS,5.0,25,0.4,2.45605,1.8741000000000003
16,3,1,49288,SS,5.0,25,0.4,9.8242,1.882
16,3,1,49288,SS,5.0,25,0.4,39.2968,1.9137000000000002
16,3,1,49288,TT,3.6,25,0.0125,2.45605,2.2478000000000002
16,3,1,49288,TT,3.6,25,0.0125,9.8242,2.2586
16,3,1,49288,TT,3.6,25,0.0125,39.2968,2.3049000000000004
16,3,1,49288,TT,3.6,25,0.05,2.45605,2.2489
16,3,1,49288,TT,3.6,25,0.05,9.8242,2.2599
16,3,1,49288,TT,3.6,25,0.05,39.2968,2.3051000000000004
16,3,1,49288,TT,3.6,25,0.4,2.45605,2.2488
16,3,1,49288,TT,3.6,25,0.4,9.8242,2.2592000000000003
16,3,1,49288,TT,3.6,25,0.4,39.2968,2.3051000000000004
64,1,4,56307,FF,5.0,25,0.0125,2.45605,1.6302000000000003
64,1,4,56307,FF,5.0,25,0.0125,9.8242,1.6383000000000003
64,1,4,56307,FF,5.0,25,0.0125,39.2968,1.6746
64,1,4,56307,FF,5.0,25,0.05,2.45605,1.6295
64,1,4,56307,FF,5.0,25,0.05,9.8242,1.6381
64,1,4,56307,FF,5.0,25,0.05,39.2968,1.6744
64,1,4,56307,FF,5.0,25,0.4,2.45605,1.6302000000000003
64,1,4,56307,FF,5.0,25,0.4,9.8242,1.6389000000000002
64,1,4,56307,FF,5.0,25,0.4,39.2968,1.674
64,1,4,56307,SS,5.0,25,0.0125,2.45605,1.7001
64,1,4,56307,SS,5.0,25,0.0125,9.8242,1.7103
64,1,4,56307,SS,5.0,25,0.0125,39.2968,1.7491000000000003
64,1,4,56307,SS,5.0,25,0.05,2.45605,1.7005000000000001
64,1,4,56307,SS,5.0,25,0.05,9.8242,1.7093
64,1,4,56307,SS,5.0,25,0.05,39.2968,1.7491000000000003
64,1,4,56307,SS,5.0,25,0.4,2.45605,1.6997
64,1,4,56307,SS,5.0,25,0.4,9.8242,1.7094
64,1,4,56307,SS,5.0,25,0.4,39.2968,1.7490000000000003
64,1,4,56307,TT,3.6,25,0.0125,2.45605,2.0304
64,1,4,56307,TT,3.6,25,0.0125,9.8242,2.0431
64,1,4,56307,TT,3.6,25,0.0125,39.2968,2.0968
64,1,4,56307,TT,3.6,25,0.05,2.45605,2.0301000000000005
64,1,4,56307,TT,3.6,25,0.05,9.8242,2.0428000000000006
64,1,4,56307,TT,3.6,25,0.05,39.2968,2.0958
64,1,4,56307,TT,3.6,25,0.4,2.45605,2.0293000000000005
64,1,4,56307,TT,3.6,25,0.4,9.8242,2.0441
64,1,4,56307,TT,3.6,25,0.4,39.2968,2.0968
32,1,2,50620,FF,5.0,25,0.0125,2.45605,1.6570000000000003
32,1,2,50620,FF,5.0,25,0.0125,9.8242,1.6657000000000002
32,1,2,50620,FF,5.0,25,0.0125,39.2968,1.7021000000000002
32,1,2,50620,FF,5.0,25,0.05,2.45605,1.6565000000000003
32,1,2,50620,FF,5.0,25,0.05,9.8242,1.6653
32,1,2,50620,FF,5.0,25,0.05,39.2968,1.7012
32,1,2,50620,FF,5.0,25,0.4,2.45605,1.6566000000000003
32,1,2,50620,FF,5.0,25,0.4,9.8242,1.6649
32,1,2,50620,FF,5.0,25,0.4,39.2968,1.7007
32,1,2,50620,SS,5.0,25,0.0125,2.45605,1.7273000000000003
32,1,2,50620,SS,5.0,25,0.0125,9.8242,1.7378000000000002
32,1,2,50620,SS,5.0,25,0.0125,39.2968,1.7765
32,1,2,50620,SS,5.0,25,0.05,2.45605,1.7264
32,1,2,50620,SS,5.0,25,0.05,9.8242,1.7376
32,1,2,50620,SS,5.0,25,0.05,39.2968,1.7772000000000001
32,1,2,50620,SS,5.0,25,0.4,2.45605,1.7272000000000003
32,1,2,50620,SS,5.0,25,0.4,9.8242,1.7377
32,1,2,50620,SS,5.0,25,0.4,39.2968,1.7766
32,1,2,50620,TT,3.6,25,0.0125,2.45605,2.0632
32,1,2,50620,TT,3.6,25,0.0125,9.8242,2.0767000000000007
32,1,2,50620,TT,3.6,25,0.0125,39.2968,2.1305
32,1,2,50620,TT,3.6,25,0.05,2.45605,2.0621
32,1,2,50620,TT,3.6,25,0.05,9.8242,2.0756
32,1,2,50620,TT,3.6,25,0.05,39.2968,2.1304
32,1,2,50620,TT,3.6,25,0.4,2.45605,2.0626
32,1,2,50620,TT,3.6,25,0.4,9.8242,2.0747000000000004
32,1,2,50620,TT,3.6,25,0.4,39.2968,2.129
16,4,1,51796,FF,5.0,25,0.0125,2.45605,1.8218000000000003
16,4,1,51796,FF,5.0,25,0.0125,9.8242,1.8282000000000003
16,4,1,51796,FF,5.0,25,0.0125,39.2968,1.8565000000000003
16,4,1,51796,FF,5.0,25,0.05,2.45605,1.8219
16,4,1,51796,FF,5.0,25,0.05,9.8242,1.829
16,4,1,51796,FF,5.0,25,0.05,39.2968,1.8567000000000002
16,4,1,51796,FF,5.0,25,0.4,2.45605,1.8197000000000003
16,4,1,51796,FF,5.0,25,0.4,9.8242,1.827
16,4,1,51796,FF,5.0,25,0.4,39.2968,1.8559
16,4,1,51796,SS,5.0,25,0.0125,2.45605,1.8981
16,4,1,51796,SS,5.0,25,0.0125,9.8242,1.9056000000000002
16,4,1,51796,SS,5.0,25,0.0125,39.2968,1.9388000000000003
16,4,1,51796,SS,5.0,25,0.05,2.45605,1.8991000000000002
16,4,1,51796,SS,5.0,25,0.05,9.8242,1.9061
16,4,1,51796,SS,5.0,25,0.05,39.2968,1.9387000000000003
16,4,1,51796,SS,5.0,25,0.4,2.45605,1.8991000000000002
16,4,1,51796,SS,5.0,25,0.4,9.8242,1.9077
16,4,1,51796,SS,5.0,25,0.4,39.2968,1.9395000000000002
16,4,1,51796,TT,5.0,25,0.0125,2.45605,1.8666000000000003
16,4,1,51796,TT,5.0,25,0.0125,9.8242,1.873
16,4,1,51796,TT,5.0,25,0.0125,39.2968,1.9037
16,4,1,51796,TT,5.0,25,0.05,2.45605,1.8657
16,4,1,51796,TT,5.0,25,0.05,9.8242,1.8727
16,4,1,51796,TT,5.0,25,0.05,39.2968,1.9036
16,4,1,51796,TT,5.0,25,0.4,2.45605,1.8673
16,4,1,51796,TT,5.0,25,0.4,9.8242,1.8746
16,4,1,51796,TT,5.0,25,0.4,39.2968,1.9043
1 num_words word_size words_per_row area process voltage temperature slew load rise_slew
2 16 2 1 46853 FF 5.0 25 0.0125 2.45605 1.7733000000000003
3 16 2 1 46853 FF 5.0 25 0.0125 9.8242 1.7797000000000003
4 16 2 1 46853 FF 5.0 25 0.0125 39.2968 1.8085000000000002
5 16 2 1 46853 FF 5.0 25 0.05 2.45605 1.7736
6 16 2 1 46853 FF 5.0 25 0.05 9.8242 1.7796
7 16 2 1 46853 FF 5.0 25 0.05 39.2968 1.8081000000000003
8 16 2 1 46853 FF 5.0 25 0.4 2.45605 1.774
9 16 2 1 46853 FF 5.0 25 0.4 9.8242 1.7812000000000001
10 16 2 1 46853 FF 5.0 25 0.4 39.2968 1.8084
11 16 2 1 46853 SS 5.0 25 0.0125 2.45605 1.8483
12 16 2 1 46853 SS 5.0 25 0.0125 9.8242 1.8552000000000002
13 16 2 1 46853 SS 5.0 25 0.0125 39.2968 1.8888000000000003
14 16 2 1 46853 SS 5.0 25 0.05 2.45605 1.8472
15 16 2 1 46853 SS 5.0 25 0.05 9.8242 1.8547000000000002
16 16 2 1 46853 SS 5.0 25 0.05 39.2968 1.8883
17 16 2 1 46853 SS 5.0 25 0.4 2.45605 1.8462
18 16 2 1 46853 SS 5.0 25 0.4 9.8242 1.8541000000000003
19 16 2 1 46853 SS 5.0 25 0.4 39.2968 1.8880000000000001
20 16 2 1 46853 TT 3.6 25 0.0125 2.45605 2.2169
21 16 2 1 46853 TT 3.6 25 0.0125 9.8242 2.2276000000000002
22 16 2 1 46853 TT 3.6 25 0.0125 39.2968 2.2752000000000003
23 16 2 1 46853 TT 3.6 25 0.05 2.45605 2.2169
24 16 2 1 46853 TT 3.6 25 0.05 9.8242 2.2274
25 16 2 1 46853 TT 3.6 25 0.05 39.2968 2.2752000000000003
26 16 2 1 46853 TT 3.6 25 0.4 2.45605 2.2155
27 16 2 1 46853 TT 3.6 25 0.4 9.8242 2.2265
28 16 2 1 46853 TT 3.6 25 0.4 39.2968 2.274
29 64 2 4 66821 FF 5.0 25 0.0125 2.45605 1.6523
30 64 2 4 66821 FF 5.0 25 0.0125 9.8242 1.6619
31 64 2 4 66821 FF 5.0 25 0.0125 39.2968 1.6992
32 64 2 4 66821 FF 5.0 25 0.05 2.45605 1.6526000000000003
33 64 2 4 66821 FF 5.0 25 0.05 9.8242 1.6615000000000002
34 64 2 4 66821 FF 5.0 25 0.05 39.2968 1.6989000000000003
35 64 2 4 66821 FF 5.0 25 0.4 2.45605 1.6514000000000002
36 64 2 4 66821 FF 5.0 25 0.4 9.8242 1.6621000000000001
37 64 2 4 66821 FF 5.0 25 0.4 39.2968 1.6979000000000002
38 64 2 4 66821 SS 5.0 25 0.0125 2.45605 1.7235
39 64 2 4 66821 SS 5.0 25 0.0125 9.8242 1.7336
40 64 2 4 66821 SS 5.0 25 0.0125 39.2968 1.7746
41 64 2 4 66821 SS 5.0 25 0.05 2.45605 1.7236
42 64 2 4 66821 SS 5.0 25 0.05 9.8242 1.7332
43 64 2 4 66821 SS 5.0 25 0.05 39.2968 1.7749
44 64 2 4 66821 SS 5.0 25 0.4 2.45605 1.7249
45 64 2 4 66821 SS 5.0 25 0.4 9.8242 1.7345
46 64 2 4 66821 SS 5.0 25 0.4 39.2968 1.7753000000000003
47 64 2 4 66821 TT 3.6 25 0.0125 2.45605 2.0566
48 64 2 4 66821 TT 3.6 25 0.0125 9.8242 2.0700000000000003
49 64 2 4 66821 TT 3.6 25 0.0125 39.2968 2.1247
50 64 2 4 66821 TT 3.6 25 0.05 2.45605 2.0569
51 64 2 4 66821 TT 3.6 25 0.05 9.8242 2.0712000000000006
52 64 2 4 66821 TT 3.6 25 0.05 39.2968 2.1243
53 64 2 4 66821 TT 3.6 25 0.4 2.45605 2.0575000000000006
54 64 2 4 66821 TT 3.6 25 0.4 9.8242 2.0712000000000006
55 64 2 4 66821 TT 3.6 25 0.4 39.2968 2.1244
56 16 1 1 44918 FF 5.0 25 0.0125 2.45605 1.7495000000000003
57 16 1 1 44918 FF 5.0 25 0.0125 9.8242 1.7561000000000002
58 16 1 1 44918 FF 5.0 25 0.0125 39.2968 1.7857
59 16 1 1 44918 FF 5.0 25 0.05 2.45605 1.7488
60 16 1 1 44918 FF 5.0 25 0.05 9.8242 1.7553
61 16 1 1 44918 FF 5.0 25 0.05 39.2968 1.7849000000000002
62 16 1 1 44918 FF 5.0 25 0.4 2.45605 1.7487
63 16 1 1 44918 FF 5.0 25 0.4 9.8242 1.7550000000000001
64 16 1 1 44918 FF 5.0 25 0.4 39.2968 1.7854000000000003
65 16 1 1 44918 SS 5.0 25 0.0125 2.45605 1.8221
66 16 1 1 44918 SS 5.0 25 0.0125 9.8242 1.8306
67 16 1 1 44918 SS 5.0 25 0.0125 39.2968 1.8645000000000003
68 16 1 1 44918 SS 5.0 25 0.05 2.45605 1.8229
69 16 1 1 44918 SS 5.0 25 0.05 9.8242 1.8298000000000003
70 16 1 1 44918 SS 5.0 25 0.05 39.2968 1.8645000000000003
71 16 1 1 44918 SS 5.0 25 0.4 2.45605 1.8223000000000003
72 16 1 1 44918 SS 5.0 25 0.4 9.8242 1.829
73 16 1 1 44918 SS 5.0 25 0.4 39.2968 1.8636000000000001
74 16 1 1 44918 TT 3.6 25 0.0125 2.45605 2.1882
75 16 1 1 44918 TT 3.6 25 0.0125 9.8242 2.199
76 16 1 1 44918 TT 3.6 25 0.0125 39.2968 2.2476
77 16 1 1 44918 TT 3.6 25 0.05 2.45605 2.1871
78 16 1 1 44918 TT 3.6 25 0.05 9.8242 2.198
79 16 1 1 44918 TT 3.6 25 0.05 39.2968 2.2471
80 16 1 1 44918 TT 3.6 25 0.4 2.45605 2.186
81 16 1 1 44918 TT 3.6 25 0.4 9.8242 2.1974000000000005
82 16 1 1 44918 TT 3.6 25 0.4 39.2968 2.2482
83 32 3 2 61533 FF 5.0 25 0.0125 2.45605 1.6930000000000003
84 32 3 2 61533 FF 5.0 25 0.0125 9.8242 1.7023
85 32 3 2 61533 FF 5.0 25 0.0125 39.2968 1.7384000000000002
86 32 3 2 61533 FF 5.0 25 0.05 2.45605 1.6936
87 32 3 2 61533 FF 5.0 25 0.05 9.8242 1.7029
88 32 3 2 61533 FF 5.0 25 0.05 39.2968 1.7383000000000002
89 32 3 2 61533 FF 5.0 25 0.4 2.45605 1.6926
90 32 3 2 61533 FF 5.0 25 0.4 9.8242 1.7030000000000003
91 32 3 2 61533 FF 5.0 25 0.4 39.2968 1.7383000000000002
92 32 3 2 61533 SS 5.0 25 0.0125 2.45605 1.7645
93 32 3 2 61533 SS 5.0 25 0.0125 9.8242 1.7747000000000002
94 32 3 2 61533 SS 5.0 25 0.0125 39.2968 1.815
95 32 3 2 61533 SS 5.0 25 0.05 2.45605 1.766
96 32 3 2 61533 SS 5.0 25 0.05 9.8242 1.7753000000000003
97 32 3 2 61533 SS 5.0 25 0.05 39.2968 1.8152000000000001
98 32 3 2 61533 SS 5.0 25 0.4 2.45605 1.7669
99 32 3 2 61533 SS 5.0 25 0.4 9.8242 1.777
100 32 3 2 61533 SS 5.0 25 0.4 39.2968 1.8152000000000001
101 32 3 2 61533 TT 3.6 25 0.0125 2.45605 2.1084000000000005
102 32 3 2 61533 TT 3.6 25 0.0125 9.8242 2.1226000000000003
103 32 3 2 61533 TT 3.6 25 0.0125 39.2968 2.1758
104 32 3 2 61533 TT 3.6 25 0.05 2.45605 2.1088
105 32 3 2 61533 TT 3.6 25 0.05 9.8242 2.1235
106 32 3 2 61533 TT 3.6 25 0.05 39.2968 2.1756
107 32 3 2 61533 TT 3.6 25 0.4 2.45605 2.1091000000000006
108 32 3 2 61533 TT 3.6 25 0.4 9.8242 2.1213000000000006
109 32 3 2 61533 TT 3.6 25 0.4 39.2968 2.1751
110 32 2 2 55960 FF 5.0 25 0.0125 2.45605 1.6751
111 32 2 2 55960 FF 5.0 25 0.0125 9.8242 1.6843000000000001
112 32 2 2 55960 FF 5.0 25 0.0125 39.2968 1.7199
113 32 2 2 55960 FF 5.0 25 0.05 2.45605 1.6754
114 32 2 2 55960 FF 5.0 25 0.05 9.8242 1.6838000000000002
115 32 2 2 55960 FF 5.0 25 0.05 39.2968 1.7202000000000002
116 32 2 2 55960 FF 5.0 25 0.4 2.45605 1.6771
117 32 2 2 55960 FF 5.0 25 0.4 9.8242 1.6857
118 32 2 2 55960 FF 5.0 25 0.4 39.2968 1.7212000000000003
119 32 2 2 55960 SS 5.0 25 0.0125 2.45605 1.7473
120 32 2 2 55960 SS 5.0 25 0.0125 9.8242 1.7574
121 32 2 2 55960 SS 5.0 25 0.0125 39.2968 1.7962
122 32 2 2 55960 SS 5.0 25 0.05 2.45605 1.7467
123 32 2 2 55960 SS 5.0 25 0.05 9.8242 1.7568
124 32 2 2 55960 SS 5.0 25 0.05 39.2968 1.7966000000000002
125 32 2 2 55960 SS 5.0 25 0.4 2.45605 1.7470000000000003
126 32 2 2 55960 SS 5.0 25 0.4 9.8242 1.7571000000000003
127 32 2 2 55960 SS 5.0 25 0.4 39.2968 1.7965000000000002
128 32 2 2 55960 TT 3.6 25 0.0125 2.45605 2.0848
129 32 2 2 55960 TT 3.6 25 0.0125 9.8242 2.0981
130 32 2 2 55960 TT 3.6 25 0.0125 39.2968 2.1533
131 32 2 2 55960 TT 3.6 25 0.05 2.45605 2.0851
132 32 2 2 55960 TT 3.6 25 0.05 9.8242 2.0985
133 32 2 2 55960 TT 3.6 25 0.05 39.2968 2.1534
134 32 2 2 55960 TT 3.6 25 0.4 2.45605 2.087
135 32 2 2 55960 TT 3.6 25 0.4 9.8242 2.1005
136 32 2 2 55960 TT 3.6 25 0.4 39.2968 2.1537
137 16 3 1 49288 FF 5.0 25 0.0125 2.45605 1.7972
138 16 3 1 49288 FF 5.0 25 0.0125 9.8242 1.8042
139 16 3 1 49288 FF 5.0 25 0.0125 39.2968 1.8323000000000003
140 16 3 1 49288 FF 5.0 25 0.05 2.45605 1.7976000000000003
141 16 3 1 49288 FF 5.0 25 0.05 9.8242 1.8042
142 16 3 1 49288 FF 5.0 25 0.05 39.2968 1.8332
143 16 3 1 49288 FF 5.0 25 0.4 2.45605 1.7986000000000002
144 16 3 1 49288 FF 5.0 25 0.4 9.8242 1.8053
145 16 3 1 49288 FF 5.0 25 0.4 39.2968 1.8329000000000002
146 16 3 1 49288 SS 5.0 25 0.0125 2.45605 1.8728
147 16 3 1 49288 SS 5.0 25 0.0125 9.8242 1.8801
148 16 3 1 49288 SS 5.0 25 0.0125 39.2968 1.9131
149 16 3 1 49288 SS 5.0 25 0.05 2.45605 1.873
150 16 3 1 49288 SS 5.0 25 0.05 9.8242 1.8798000000000001
151 16 3 1 49288 SS 5.0 25 0.05 39.2968 1.9137000000000002
152 16 3 1 49288 SS 5.0 25 0.4 2.45605 1.8741000000000003
153 16 3 1 49288 SS 5.0 25 0.4 9.8242 1.882
154 16 3 1 49288 SS 5.0 25 0.4 39.2968 1.9137000000000002
155 16 3 1 49288 TT 3.6 25 0.0125 2.45605 2.2478000000000002
156 16 3 1 49288 TT 3.6 25 0.0125 9.8242 2.2586
157 16 3 1 49288 TT 3.6 25 0.0125 39.2968 2.3049000000000004
158 16 3 1 49288 TT 3.6 25 0.05 2.45605 2.2489
159 16 3 1 49288 TT 3.6 25 0.05 9.8242 2.2599
160 16 3 1 49288 TT 3.6 25 0.05 39.2968 2.3051000000000004
161 16 3 1 49288 TT 3.6 25 0.4 2.45605 2.2488
162 16 3 1 49288 TT 3.6 25 0.4 9.8242 2.2592000000000003
163 16 3 1 49288 TT 3.6 25 0.4 39.2968 2.3051000000000004
164 64 1 4 56307 FF 5.0 25 0.0125 2.45605 1.6302000000000003
165 64 1 4 56307 FF 5.0 25 0.0125 9.8242 1.6383000000000003
166 64 1 4 56307 FF 5.0 25 0.0125 39.2968 1.6746
167 64 1 4 56307 FF 5.0 25 0.05 2.45605 1.6295
168 64 1 4 56307 FF 5.0 25 0.05 9.8242 1.6381
169 64 1 4 56307 FF 5.0 25 0.05 39.2968 1.6744
170 64 1 4 56307 FF 5.0 25 0.4 2.45605 1.6302000000000003
171 64 1 4 56307 FF 5.0 25 0.4 9.8242 1.6389000000000002
172 64 1 4 56307 FF 5.0 25 0.4 39.2968 1.674
173 64 1 4 56307 SS 5.0 25 0.0125 2.45605 1.7001
174 64 1 4 56307 SS 5.0 25 0.0125 9.8242 1.7103
175 64 1 4 56307 SS 5.0 25 0.0125 39.2968 1.7491000000000003
176 64 1 4 56307 SS 5.0 25 0.05 2.45605 1.7005000000000001
177 64 1 4 56307 SS 5.0 25 0.05 9.8242 1.7093
178 64 1 4 56307 SS 5.0 25 0.05 39.2968 1.7491000000000003
179 64 1 4 56307 SS 5.0 25 0.4 2.45605 1.6997
180 64 1 4 56307 SS 5.0 25 0.4 9.8242 1.7094
181 64 1 4 56307 SS 5.0 25 0.4 39.2968 1.7490000000000003
182 64 1 4 56307 TT 3.6 25 0.0125 2.45605 2.0304
183 64 1 4 56307 TT 3.6 25 0.0125 9.8242 2.0431
184 64 1 4 56307 TT 3.6 25 0.0125 39.2968 2.0968
185 64 1 4 56307 TT 3.6 25 0.05 2.45605 2.0301000000000005
186 64 1 4 56307 TT 3.6 25 0.05 9.8242 2.0428000000000006
187 64 1 4 56307 TT 3.6 25 0.05 39.2968 2.0958
188 64 1 4 56307 TT 3.6 25 0.4 2.45605 2.0293000000000005
189 64 1 4 56307 TT 3.6 25 0.4 9.8242 2.0441
190 64 1 4 56307 TT 3.6 25 0.4 39.2968 2.0968
191 32 1 2 50620 FF 5.0 25 0.0125 2.45605 1.6570000000000003
192 32 1 2 50620 FF 5.0 25 0.0125 9.8242 1.6657000000000002
193 32 1 2 50620 FF 5.0 25 0.0125 39.2968 1.7021000000000002
194 32 1 2 50620 FF 5.0 25 0.05 2.45605 1.6565000000000003
195 32 1 2 50620 FF 5.0 25 0.05 9.8242 1.6653
196 32 1 2 50620 FF 5.0 25 0.05 39.2968 1.7012
197 32 1 2 50620 FF 5.0 25 0.4 2.45605 1.6566000000000003
198 32 1 2 50620 FF 5.0 25 0.4 9.8242 1.6649
199 32 1 2 50620 FF 5.0 25 0.4 39.2968 1.7007
200 32 1 2 50620 SS 5.0 25 0.0125 2.45605 1.7273000000000003
201 32 1 2 50620 SS 5.0 25 0.0125 9.8242 1.7378000000000002
202 32 1 2 50620 SS 5.0 25 0.0125 39.2968 1.7765
203 32 1 2 50620 SS 5.0 25 0.05 2.45605 1.7264
204 32 1 2 50620 SS 5.0 25 0.05 9.8242 1.7376
205 32 1 2 50620 SS 5.0 25 0.05 39.2968 1.7772000000000001
206 32 1 2 50620 SS 5.0 25 0.4 2.45605 1.7272000000000003
207 32 1 2 50620 SS 5.0 25 0.4 9.8242 1.7377
208 32 1 2 50620 SS 5.0 25 0.4 39.2968 1.7766
209 32 1 2 50620 TT 3.6 25 0.0125 2.45605 2.0632
210 32 1 2 50620 TT 3.6 25 0.0125 9.8242 2.0767000000000007
211 32 1 2 50620 TT 3.6 25 0.0125 39.2968 2.1305
212 32 1 2 50620 TT 3.6 25 0.05 2.45605 2.0621
213 32 1 2 50620 TT 3.6 25 0.05 9.8242 2.0756
214 32 1 2 50620 TT 3.6 25 0.05 39.2968 2.1304
215 32 1 2 50620 TT 3.6 25 0.4 2.45605 2.0626
216 32 1 2 50620 TT 3.6 25 0.4 9.8242 2.0747000000000004
217 32 1 2 50620 TT 3.6 25 0.4 39.2968 2.129
218 16 4 1 51796 FF 5.0 25 0.0125 2.45605 1.8218000000000003
219 16 4 1 51796 FF 5.0 25 0.0125 9.8242 1.8282000000000003
220 16 4 1 51796 FF 5.0 25 0.0125 39.2968 1.8565000000000003
221 16 4 1 51796 FF 5.0 25 0.05 2.45605 1.8219
222 16 4 1 51796 FF 5.0 25 0.05 9.8242 1.829
223 16 4 1 51796 FF 5.0 25 0.05 39.2968 1.8567000000000002
224 16 4 1 51796 FF 5.0 25 0.4 2.45605 1.8197000000000003
225 16 4 1 51796 FF 5.0 25 0.4 9.8242 1.827
226 16 4 1 51796 FF 5.0 25 0.4 39.2968 1.8559
227 16 4 1 51796 SS 5.0 25 0.0125 2.45605 1.8981
228 16 4 1 51796 SS 5.0 25 0.0125 9.8242 1.9056000000000002
229 16 4 1 51796 SS 5.0 25 0.0125 39.2968 1.9388000000000003
230 16 4 1 51796 SS 5.0 25 0.05 2.45605 1.8991000000000002
231 16 4 1 51796 SS 5.0 25 0.05 9.8242 1.9061
232 16 4 1 51796 SS 5.0 25 0.05 39.2968 1.9387000000000003
233 16 4 1 51796 SS 5.0 25 0.4 2.45605 1.8991000000000002
234 16 4 1 51796 SS 5.0 25 0.4 9.8242 1.9077
235 16 4 1 51796 SS 5.0 25 0.4 39.2968 1.9395000000000002
236 16 4 1 51796 TT 5.0 25 0.0125 2.45605 1.8666000000000003
237 16 4 1 51796 TT 5.0 25 0.0125 9.8242 1.873
238 16 4 1 51796 TT 5.0 25 0.0125 39.2968 1.9037
239 16 4 1 51796 TT 5.0 25 0.05 2.45605 1.8657
240 16 4 1 51796 TT 5.0 25 0.05 9.8242 1.8727
241 16 4 1 51796 TT 5.0 25 0.05 39.2968 1.9036
242 16 4 1 51796 TT 5.0 25 0.4 2.45605 1.8673
243 16 4 1 51796 TT 5.0 25 0.4 9.8242 1.8746
244 16 4 1 51796 TT 5.0 25 0.4 39.2968 1.9043

View File

@ -0,0 +1,91 @@
num_words,word_size,words_per_row,local_array_size,area,process,voltage,temperature,slew,load,rise_delay,fall_delay,rise_slew,fall_slew,write1_power,write0_power,read1_power,read0_power,leakage_power
2048,32,8,0,0,TT,5.0,25,0.0125,2.45605,3.8631999999999995,3.8631999999999995,2.2513,2.2513,76.9840808,156.79374746666664,146.58263635555554,146.54930302222223,0.034163
2048,32,8,0,0,TT,5.0,25,0.0125,9.8242,3.9013,3.9013,2.2721,2.2721,76.9840808,156.79374746666664,146.58263635555554,146.54930302222223,0.034163
2048,32,8,0,0,TT,5.0,25,0.0125,39.2968,4.0493999999999994,4.0493999999999994,2.3494,2.3494,76.9840808,156.79374746666664,146.58263635555554,146.54930302222223,0.034163
2048,32,8,0,0,TT,5.0,25,0.05,2.45605,3.8691999999999998,3.8691999999999998,2.2521,2.2521,76.9840808,156.79374746666664,146.58263635555554,146.54930302222223,0.034163
2048,32,8,0,0,TT,5.0,25,0.05,9.8242,3.9050000000000002,3.9050000000000002,2.2752000000000003,2.2752000000000003,76.9840808,156.79374746666664,146.58263635555554,146.54930302222223,0.034163
2048,32,8,0,0,TT,5.0,25,0.05,39.2968,4.0525,4.0525,2.3494,2.3494,76.9840808,156.79374746666664,146.58263635555554,146.54930302222223,0.034163
2048,32,8,0,0,TT,5.0,25,0.4,2.45605,3.9177999999999997,3.9177999999999997,2.2500999999999998,2.2500999999999998,76.9840808,156.79374746666664,146.58263635555554,146.54930302222223,0.034163
2048,32,8,0,0,TT,5.0,25,0.4,9.8242,3.9566000000000003,3.9566000000000003,2.2712999999999997,2.2712999999999997,76.9840808,156.79374746666664,146.58263635555554,146.54930302222223,0.034163
2048,32,8,0,0,TT,5.0,25,0.4,39.2968,4.103000000000001,4.103000000000001,2.349,2.349,76.9840808,156.79374746666664,146.58263635555554,146.54930302222223,0.034163
1024,64,4,0,0,TT,5.0,25,0.0125,2.45605,3.9389999999999996,3.9389999999999996,2.8754999999999997,2.8754999999999997,90.7865361111111,147.73942499999998,130.8172027777778,131.1283138888889,0.067962
1024,64,4,0,0,TT,5.0,25,0.0125,9.8242,3.9711999999999996,3.9711999999999996,2.9102,2.9102,90.7865361111111,147.73942499999998,130.8172027777778,131.1283138888889,0.067962
1024,64,4,0,0,TT,5.0,25,0.0125,39.2968,4.1078,4.1078,3.0068,3.0068,90.7865361111111,147.73942499999998,130.8172027777778,131.1283138888889,0.067962
1024,64,4,0,0,TT,5.0,25,0.05,2.45605,3.9441999999999995,3.9441999999999995,2.877,2.877,90.7865361111111,147.73942499999998,130.8172027777778,131.1283138888889,0.067962
1024,64,4,0,0,TT,5.0,25,0.05,9.8242,3.9760999999999997,3.9760999999999997,2.9089,2.9089,90.7865361111111,147.73942499999998,130.8172027777778,131.1283138888889,0.067962
1024,64,4,0,0,TT,5.0,25,0.05,39.2968,4.1107,4.1107,2.9932,2.9932,90.7865361111111,147.73942499999998,130.8172027777778,131.1283138888889,0.067962
1024,64,4,0,0,TT,5.0,25,0.4,2.45605,3.9938999999999996,3.9938999999999996,2.8765,2.8765,90.7865361111111,147.73942499999998,130.8172027777778,131.1283138888889,0.067962
1024,64,4,0,0,TT,5.0,25,0.4,9.8242,4.0249999999999995,4.0249999999999995,2.9085,2.9085,90.7865361111111,147.73942499999998,130.8172027777778,131.1283138888889,0.067962
1024,64,4,0,0,TT,5.0,25,0.4,39.2968,4.1619,4.1619,3.0039,3.0039,90.7865361111111,147.73942499999998,130.8172027777778,131.1283138888889,0.067962
512,64,4,0,0,TT,5.0,25,0.0125,2.45605,3.6412999999999998,3.6412999999999998,2.9203,2.9203,89.68941955555553,138.87653066666667,121.68764177777777,122.04319733333334,0.037765999999999994
512,64,4,0,0,TT,5.0,25,0.0125,9.8242,3.6843000000000004,3.6843000000000004,2.9427999999999996,2.9427999999999996,89.68941955555553,138.87653066666667,121.68764177777777,122.04319733333334,0.037765999999999994
512,64,4,0,0,TT,5.0,25,0.0125,39.2968,3.8491,3.8491,3.0345999999999997,3.0345999999999997,89.68941955555553,138.87653066666667,121.68764177777777,122.04319733333334,0.037765999999999994
512,64,4,0,0,TT,5.0,25,0.05,2.45605,3.6469,3.6469,2.919,2.919,89.68941955555553,138.87653066666667,121.68764177777777,122.04319733333334,0.037765999999999994
512,64,4,0,0,TT,5.0,25,0.05,9.8242,3.6885999999999997,3.6885999999999997,2.9484,2.9484,89.68941955555553,138.87653066666667,121.68764177777777,122.04319733333334,0.037765999999999994
512,64,4,0,0,TT,5.0,25,0.05,39.2968,3.8536999999999995,3.8536999999999995,3.0319,3.0319,89.68941955555553,138.87653066666667,121.68764177777777,122.04319733333334,0.037765999999999994
512,64,4,0,0,TT,5.0,25,0.4,2.45605,3.6950000000000003,3.6950000000000003,2.9087,2.9087,89.68941955555553,138.87653066666667,121.68764177777777,122.04319733333334,0.037765999999999994
512,64,4,0,0,TT,5.0,25,0.4,9.8242,3.7396,3.7396,2.9424,2.9424,89.68941955555553,138.87653066666667,121.68764177777777,122.04319733333334,0.037765999999999994
512,64,4,0,0,TT,5.0,25,0.4,39.2968,3.9026,3.9026,3.0359,3.0359,89.68941955555553,138.87653066666667,121.68764177777777,122.04319733333334,0.037765999999999994
1024,32,8,0,0,TT,5.0,25,0.0125,2.45605,3.6382000000000003,3.6382000000000003,2.2669,2.2669,77.06215992222222,148.24827103333334,137.7371599222222,137.69271547777777,0.021654
1024,32,8,0,0,TT,5.0,25,0.0125,9.8242,3.6833,3.6833,2.2864,2.2864,77.06215992222222,148.24827103333334,137.7371599222222,137.69271547777777,0.021654
1024,32,8,0,0,TT,5.0,25,0.0125,39.2968,3.8456999999999995,3.8456999999999995,2.3572,2.3572,77.06215992222222,148.24827103333334,137.7371599222222,137.69271547777777,0.021654
1024,32,8,0,0,TT,5.0,25,0.05,2.45605,3.6441,3.6441,2.2677,2.2677,77.06215992222222,148.24827103333334,137.7371599222222,137.69271547777777,0.021654
1024,32,8,0,0,TT,5.0,25,0.05,9.8242,3.686,3.686,2.2883,2.2883,77.06215992222222,148.24827103333334,137.7371599222222,137.69271547777777,0.021654
1024,32,8,0,0,TT,5.0,25,0.05,39.2968,3.8501999999999996,3.8501999999999996,2.3566,2.3566,77.06215992222222,148.24827103333334,137.7371599222222,137.69271547777777,0.021654
1024,32,8,0,0,TT,5.0,25,0.4,2.45605,3.6935000000000002,3.6935000000000002,2.265,2.265,77.06215992222222,148.24827103333334,137.7371599222222,137.69271547777777,0.021654
1024,32,8,0,0,TT,5.0,25,0.4,9.8242,3.7375000000000003,3.7375000000000003,2.2851,2.2851,77.06215992222222,148.24827103333334,137.7371599222222,137.69271547777777,0.021654
1024,32,8,0,0,TT,5.0,25,0.4,39.2968,3.9022,3.9022,2.3565,2.3565,77.06215992222222,148.24827103333334,137.7371599222222,137.69271547777777,0.021654
1024,128,4,0,0,TT,5.0,25,0.0125,2.45605,5.2075,5.2075,4.051799999999999,4.051799999999999,187.9252377777778,338.06968222222224,293.60301555555554,294.10301555555554,0.35046
1024,128,4,0,0,TT,5.0,25,0.0125,9.8242,5.2404,5.2404,4.0874,4.0874,187.9252377777778,338.06968222222224,293.60301555555554,294.10301555555554,0.35046
1024,128,4,0,0,TT,5.0,25,0.0125,39.2968,5.3863,5.3863,4.2315,4.2315,187.9252377777778,338.06968222222224,293.60301555555554,294.10301555555554,0.35046
1024,128,4,0,0,TT,5.0,25,0.05,2.45605,5.2121,5.2121,4.0489,4.0489,187.9252377777778,338.06968222222224,293.60301555555554,294.10301555555554,0.35046
1024,128,4,0,0,TT,5.0,25,0.05,9.8242,5.2452,5.2452,4.093699999999999,4.093699999999999,187.9252377777778,338.06968222222224,293.60301555555554,294.10301555555554,0.35046
1024,128,4,0,0,TT,5.0,25,0.05,39.2968,5.3919,5.3919,4.225300000000001,4.225300000000001,187.9252377777778,338.06968222222224,293.60301555555554,294.10301555555554,0.35046
1024,128,4,0,0,TT,5.0,25,0.4,2.45605,5.2619,5.2619,4.0632,4.0632,187.9252377777778,338.06968222222224,293.60301555555554,294.10301555555554,0.35046
1024,128,4,0,0,TT,5.0,25,0.4,9.8242,5.2953,5.2953,4.1129,4.1129,187.9252377777778,338.06968222222224,293.60301555555554,294.10301555555554,0.35046
1024,128,4,0,0,TT,5.0,25,0.4,39.2968,5.441,5.441,4.2496,4.2496,187.9252377777778,338.06968222222224,293.60301555555554,294.10301555555554,0.35046
512,8,8,0,0,TT,5.0,25,0.0125,2.45605,2.4835,2.4835,1.8724999999999998,1.8724999999999998,30.614662266666667,42.90666226666667,39.61621782222223,39.54921782222223,0.0030825
512,8,8,0,0,TT,5.0,25,0.0125,9.8242,2.5258000000000003,2.5258000000000003,1.8851,1.8851,30.614662266666667,42.90666226666667,39.61621782222223,39.54921782222223,0.0030825
512,8,8,0,0,TT,5.0,25,0.0125,39.2968,2.6839,2.6839,1.9319,1.9319,30.614662266666667,42.90666226666667,39.61621782222223,39.54921782222223,0.0030825
512,8,8,0,0,TT,5.0,25,0.05,2.45605,2.4884,2.4884,1.8721,1.8721,30.614662266666667,42.90666226666667,39.61621782222223,39.54921782222223,0.0030825
512,8,8,0,0,TT,5.0,25,0.05,9.8242,2.5285,2.5285,1.8848,1.8848,30.614662266666667,42.90666226666667,39.61621782222223,39.54921782222223,0.0030825
512,8,8,0,0,TT,5.0,25,0.05,39.2968,2.6866999999999996,2.6866999999999996,1.9329999999999998,1.9329999999999998,30.614662266666667,42.90666226666667,39.61621782222223,39.54921782222223,0.0030825
512,8,8,0,0,TT,5.0,25,0.4,2.45605,2.5385,2.5385,1.8743,1.8743,30.614662266666667,42.90666226666667,39.61621782222223,39.54921782222223,0.0030825
512,8,8,0,0,TT,5.0,25,0.4,9.8242,2.58,2.58,1.8867,1.8867,30.614662266666667,42.90666226666667,39.61621782222223,39.54921782222223,0.0030825
512,8,8,0,0,TT,5.0,25,0.4,39.2968,2.7386,2.7386,1.9340000000000002,1.9340000000000002,30.614662266666667,42.90666226666667,39.61621782222223,39.54921782222223,0.0030825
256,32,4,0,0,TT,5.0,25,0.0125,2.45605,2.6952,2.6952,2.3218,2.3218,60.299196111111115,83.10086277777776,70.07586277777779,70.21464055555555,0.011888999999999999
256,32,4,0,0,TT,5.0,25,0.0125,9.8242,2.738,2.738,2.3394,2.3394,60.299196111111115,83.10086277777776,70.07586277777779,70.21464055555555,0.011888999999999999
256,32,4,0,0,TT,5.0,25,0.0125,39.2968,2.9009,2.9009,2.402,2.402,60.299196111111115,83.10086277777776,70.07586277777779,70.21464055555555,0.011888999999999999
256,32,4,0,0,TT,5.0,25,0.05,2.45605,2.6991,2.6991,2.3205,2.3205,60.299196111111115,83.10086277777776,70.07586277777779,70.21464055555555,0.011888999999999999
256,32,4,0,0,TT,5.0,25,0.05,9.8242,2.7422,2.7422,2.3390999999999997,2.3390999999999997,60.299196111111115,83.10086277777776,70.07586277777779,70.21464055555555,0.011888999999999999
256,32,4,0,0,TT,5.0,25,0.05,39.2968,2.9043,2.9043,2.4033,2.4033,60.299196111111115,83.10086277777776,70.07586277777779,70.21464055555555,0.011888999999999999
256,32,4,0,0,TT,5.0,25,0.4,2.45605,2.7506,2.7506,2.3253,2.3253,60.299196111111115,83.10086277777776,70.07586277777779,70.21464055555555,0.011888999999999999
256,32,4,0,0,TT,5.0,25,0.4,9.8242,2.7912,2.7912,2.3419,2.3419,60.299196111111115,83.10086277777776,70.07586277777779,70.21464055555555,0.011888999999999999
256,32,4,0,0,TT,5.0,25,0.4,39.2968,2.9557,2.9557,2.4034999999999997,2.4034999999999997,60.299196111111115,83.10086277777776,70.07586277777779,70.21464055555555,0.011888999999999999
1024,8,16,0,0,TT,5.0,25,0.0125,2.45605,3.0928,3.0928,1.7745,1.7745,42.4757716,66.06221604444444,62.891993822222226,62.80254937777777,0.007844799999999999
1024,8,16,0,0,TT,5.0,25,0.0125,9.8242,3.136,3.136,1.7886,1.7886,42.4757716,66.06221604444444,62.891993822222226,62.80254937777777,0.007844799999999999
1024,8,16,0,0,TT,5.0,25,0.0125,39.2968,3.3014,3.3014,1.8472,1.8472,42.4757716,66.06221604444444,62.891993822222226,62.80254937777777,0.007844799999999999
1024,8,16,0,0,TT,5.0,25,0.05,2.45605,3.0975,3.0975,1.7731,1.7731,42.4757716,66.06221604444444,62.891993822222226,62.80254937777777,0.007844799999999999
1024,8,16,0,0,TT,5.0,25,0.05,9.8242,3.1389,3.1389,1.7875,1.7875,42.4757716,66.06221604444444,62.891993822222226,62.80254937777777,0.007844799999999999
1024,8,16,0,0,TT,5.0,25,0.05,39.2968,3.3057,3.3057,1.8474000000000002,1.8474000000000002,42.4757716,66.06221604444444,62.891993822222226,62.80254937777777,0.007844799999999999
1024,8,16,0,0,TT,5.0,25,0.4,2.45605,3.1508,3.1508,1.7701,1.7701,42.4757716,66.06221604444444,62.891993822222226,62.80254937777777,0.007844799999999999
1024,8,16,0,0,TT,5.0,25,0.4,9.8242,3.1923,3.1923,1.7882,1.7882,42.4757716,66.06221604444444,62.891993822222226,62.80254937777777,0.007844799999999999
1024,8,16,0,0,TT,5.0,25,0.4,39.2968,3.3604000000000003,3.3604000000000003,1.8472,1.8472,42.4757716,66.06221604444444,62.891993822222226,62.80254937777777,0.007844799999999999
256,8,8,0,0,TT,5.0,25,0.0125,2.45605,2.4294,2.4294,1.8675,1.8675,29.76612616666667,39.60357061111111,36.31879283333333,36.25579283333333,0.0019987
256,8,8,0,0,TT,5.0,25,0.0125,9.8242,2.4688,2.4688,1.8803999999999998,1.8803999999999998,29.76612616666667,39.60357061111111,36.31879283333333,36.25579283333333,0.0019987
256,8,8,0,0,TT,5.0,25,0.0125,39.2968,2.6258999999999997,2.6258999999999997,1.9285,1.9285,29.76612616666667,39.60357061111111,36.31879283333333,36.25579283333333,0.0019987
256,8,8,0,0,TT,5.0,25,0.05,2.45605,2.434,2.434,1.8679000000000001,1.8679000000000001,29.76612616666667,39.60357061111111,36.31879283333333,36.25579283333333,0.0019987
256,8,8,0,0,TT,5.0,25,0.05,9.8242,2.4735,2.4735,1.8806999999999998,1.8806999999999998,29.76612616666667,39.60357061111111,36.31879283333333,36.25579283333333,0.0019987
256,8,8,0,0,TT,5.0,25,0.05,39.2968,2.6310000000000002,2.6310000000000002,1.9290999999999998,1.9290999999999998,29.76612616666667,39.60357061111111,36.31879283333333,36.25579283333333,0.0019987
256,8,8,0,0,TT,5.0,25,0.4,2.45605,2.4846999999999997,2.4846999999999997,1.8661,1.8661,29.76612616666667,39.60357061111111,36.31879283333333,36.25579283333333,0.0019987
256,8,8,0,0,TT,5.0,25,0.4,9.8242,2.5229,2.5229,1.8802999999999999,1.8802999999999999,29.76612616666667,39.60357061111111,36.31879283333333,36.25579283333333,0.0019987
256,8,8,0,0,TT,5.0,25,0.4,39.2968,2.6792,2.6792,1.9287,1.9287,29.76612616666667,39.60357061111111,36.31879283333333,36.25579283333333,0.0019987
512,32,4,0,0,TT,5.0,25,0.0125,2.45605,2.9253,2.9253,2.3095,2.3095,58.61118355555555,87.06329466666666,75.15751688888889,75.219628,0.017759
512,32,4,0,0,TT,5.0,25,0.0125,9.8242,2.9649,2.9649,2.3266999999999998,2.3266999999999998,58.61118355555555,87.06329466666666,75.15751688888889,75.219628,0.017759
512,32,4,0,0,TT,5.0,25,0.0125,39.2968,3.1195999999999997,3.1195999999999997,2.393,2.393,58.61118355555555,87.06329466666666,75.15751688888889,75.219628,0.017759
512,32,4,0,0,TT,5.0,25,0.05,2.45605,2.9297999999999997,2.9297999999999997,2.3117,2.3117,58.61118355555555,87.06329466666666,75.15751688888889,75.219628,0.017759
512,32,4,0,0,TT,5.0,25,0.05,9.8242,2.9674,2.9674,2.3271,2.3271,58.61118355555555,87.06329466666666,75.15751688888889,75.219628,0.017759
512,32,4,0,0,TT,5.0,25,0.05,39.2968,3.1227,3.1227,2.3937,2.3937,58.61118355555555,87.06329466666666,75.15751688888889,75.219628,0.017759
512,32,4,0,0,TT,5.0,25,0.4,2.45605,2.976,2.976,2.3102,2.3102,58.61118355555555,87.06329466666666,75.15751688888889,75.219628,0.017759
512,32,4,0,0,TT,5.0,25,0.4,9.8242,3.0193000000000003,3.0193000000000003,2.3262,2.3262,58.61118355555555,87.06329466666666,75.15751688888889,75.219628,0.017759
512,32,4,0,0,TT,5.0,25,0.4,39.2968,3.1761,3.1761,2.3941999999999997,2.3941999999999997,58.61118355555555,87.06329466666666,75.15751688888889,75.219628,0.017759
1 num_words word_size words_per_row local_array_size area process voltage temperature slew load rise_delay fall_delay rise_slew fall_slew write1_power write0_power read1_power read0_power leakage_power
2 2048 32 8 0 0 TT 5.0 25 0.0125 2.45605 3.8631999999999995 3.8631999999999995 2.2513 2.2513 76.9840808 156.79374746666664 146.58263635555554 146.54930302222223 0.034163
3 2048 32 8 0 0 TT 5.0 25 0.0125 9.8242 3.9013 3.9013 2.2721 2.2721 76.9840808 156.79374746666664 146.58263635555554 146.54930302222223 0.034163
4 2048 32 8 0 0 TT 5.0 25 0.0125 39.2968 4.0493999999999994 4.0493999999999994 2.3494 2.3494 76.9840808 156.79374746666664 146.58263635555554 146.54930302222223 0.034163
5 2048 32 8 0 0 TT 5.0 25 0.05 2.45605 3.8691999999999998 3.8691999999999998 2.2521 2.2521 76.9840808 156.79374746666664 146.58263635555554 146.54930302222223 0.034163
6 2048 32 8 0 0 TT 5.0 25 0.05 9.8242 3.9050000000000002 3.9050000000000002 2.2752000000000003 2.2752000000000003 76.9840808 156.79374746666664 146.58263635555554 146.54930302222223 0.034163
7 2048 32 8 0 0 TT 5.0 25 0.05 39.2968 4.0525 4.0525 2.3494 2.3494 76.9840808 156.79374746666664 146.58263635555554 146.54930302222223 0.034163
8 2048 32 8 0 0 TT 5.0 25 0.4 2.45605 3.9177999999999997 3.9177999999999997 2.2500999999999998 2.2500999999999998 76.9840808 156.79374746666664 146.58263635555554 146.54930302222223 0.034163
9 2048 32 8 0 0 TT 5.0 25 0.4 9.8242 3.9566000000000003 3.9566000000000003 2.2712999999999997 2.2712999999999997 76.9840808 156.79374746666664 146.58263635555554 146.54930302222223 0.034163
10 2048 32 8 0 0 TT 5.0 25 0.4 39.2968 4.103000000000001 4.103000000000001 2.349 2.349 76.9840808 156.79374746666664 146.58263635555554 146.54930302222223 0.034163
11 1024 64 4 0 0 TT 5.0 25 0.0125 2.45605 3.9389999999999996 3.9389999999999996 2.8754999999999997 2.8754999999999997 90.7865361111111 147.73942499999998 130.8172027777778 131.1283138888889 0.067962
12 1024 64 4 0 0 TT 5.0 25 0.0125 9.8242 3.9711999999999996 3.9711999999999996 2.9102 2.9102 90.7865361111111 147.73942499999998 130.8172027777778 131.1283138888889 0.067962
13 1024 64 4 0 0 TT 5.0 25 0.0125 39.2968 4.1078 4.1078 3.0068 3.0068 90.7865361111111 147.73942499999998 130.8172027777778 131.1283138888889 0.067962
14 1024 64 4 0 0 TT 5.0 25 0.05 2.45605 3.9441999999999995 3.9441999999999995 2.877 2.877 90.7865361111111 147.73942499999998 130.8172027777778 131.1283138888889 0.067962
15 1024 64 4 0 0 TT 5.0 25 0.05 9.8242 3.9760999999999997 3.9760999999999997 2.9089 2.9089 90.7865361111111 147.73942499999998 130.8172027777778 131.1283138888889 0.067962
16 1024 64 4 0 0 TT 5.0 25 0.05 39.2968 4.1107 4.1107 2.9932 2.9932 90.7865361111111 147.73942499999998 130.8172027777778 131.1283138888889 0.067962
17 1024 64 4 0 0 TT 5.0 25 0.4 2.45605 3.9938999999999996 3.9938999999999996 2.8765 2.8765 90.7865361111111 147.73942499999998 130.8172027777778 131.1283138888889 0.067962
18 1024 64 4 0 0 TT 5.0 25 0.4 9.8242 4.0249999999999995 4.0249999999999995 2.9085 2.9085 90.7865361111111 147.73942499999998 130.8172027777778 131.1283138888889 0.067962
19 1024 64 4 0 0 TT 5.0 25 0.4 39.2968 4.1619 4.1619 3.0039 3.0039 90.7865361111111 147.73942499999998 130.8172027777778 131.1283138888889 0.067962
20 512 64 4 0 0 TT 5.0 25 0.0125 2.45605 3.6412999999999998 3.6412999999999998 2.9203 2.9203 89.68941955555553 138.87653066666667 121.68764177777777 122.04319733333334 0.037765999999999994
21 512 64 4 0 0 TT 5.0 25 0.0125 9.8242 3.6843000000000004 3.6843000000000004 2.9427999999999996 2.9427999999999996 89.68941955555553 138.87653066666667 121.68764177777777 122.04319733333334 0.037765999999999994
22 512 64 4 0 0 TT 5.0 25 0.0125 39.2968 3.8491 3.8491 3.0345999999999997 3.0345999999999997 89.68941955555553 138.87653066666667 121.68764177777777 122.04319733333334 0.037765999999999994
23 512 64 4 0 0 TT 5.0 25 0.05 2.45605 3.6469 3.6469 2.919 2.919 89.68941955555553 138.87653066666667 121.68764177777777 122.04319733333334 0.037765999999999994
24 512 64 4 0 0 TT 5.0 25 0.05 9.8242 3.6885999999999997 3.6885999999999997 2.9484 2.9484 89.68941955555553 138.87653066666667 121.68764177777777 122.04319733333334 0.037765999999999994
25 512 64 4 0 0 TT 5.0 25 0.05 39.2968 3.8536999999999995 3.8536999999999995 3.0319 3.0319 89.68941955555553 138.87653066666667 121.68764177777777 122.04319733333334 0.037765999999999994
26 512 64 4 0 0 TT 5.0 25 0.4 2.45605 3.6950000000000003 3.6950000000000003 2.9087 2.9087 89.68941955555553 138.87653066666667 121.68764177777777 122.04319733333334 0.037765999999999994
27 512 64 4 0 0 TT 5.0 25 0.4 9.8242 3.7396 3.7396 2.9424 2.9424 89.68941955555553 138.87653066666667 121.68764177777777 122.04319733333334 0.037765999999999994
28 512 64 4 0 0 TT 5.0 25 0.4 39.2968 3.9026 3.9026 3.0359 3.0359 89.68941955555553 138.87653066666667 121.68764177777777 122.04319733333334 0.037765999999999994
29 1024 32 8 0 0 TT 5.0 25 0.0125 2.45605 3.6382000000000003 3.6382000000000003 2.2669 2.2669 77.06215992222222 148.24827103333334 137.7371599222222 137.69271547777777 0.021654
30 1024 32 8 0 0 TT 5.0 25 0.0125 9.8242 3.6833 3.6833 2.2864 2.2864 77.06215992222222 148.24827103333334 137.7371599222222 137.69271547777777 0.021654
31 1024 32 8 0 0 TT 5.0 25 0.0125 39.2968 3.8456999999999995 3.8456999999999995 2.3572 2.3572 77.06215992222222 148.24827103333334 137.7371599222222 137.69271547777777 0.021654
32 1024 32 8 0 0 TT 5.0 25 0.05 2.45605 3.6441 3.6441 2.2677 2.2677 77.06215992222222 148.24827103333334 137.7371599222222 137.69271547777777 0.021654
33 1024 32 8 0 0 TT 5.0 25 0.05 9.8242 3.686 3.686 2.2883 2.2883 77.06215992222222 148.24827103333334 137.7371599222222 137.69271547777777 0.021654
34 1024 32 8 0 0 TT 5.0 25 0.05 39.2968 3.8501999999999996 3.8501999999999996 2.3566 2.3566 77.06215992222222 148.24827103333334 137.7371599222222 137.69271547777777 0.021654
35 1024 32 8 0 0 TT 5.0 25 0.4 2.45605 3.6935000000000002 3.6935000000000002 2.265 2.265 77.06215992222222 148.24827103333334 137.7371599222222 137.69271547777777 0.021654
36 1024 32 8 0 0 TT 5.0 25 0.4 9.8242 3.7375000000000003 3.7375000000000003 2.2851 2.2851 77.06215992222222 148.24827103333334 137.7371599222222 137.69271547777777 0.021654
37 1024 32 8 0 0 TT 5.0 25 0.4 39.2968 3.9022 3.9022 2.3565 2.3565 77.06215992222222 148.24827103333334 137.7371599222222 137.69271547777777 0.021654
38 1024 128 4 0 0 TT 5.0 25 0.0125 2.45605 5.2075 5.2075 4.051799999999999 4.051799999999999 187.9252377777778 338.06968222222224 293.60301555555554 294.10301555555554 0.35046
39 1024 128 4 0 0 TT 5.0 25 0.0125 9.8242 5.2404 5.2404 4.0874 4.0874 187.9252377777778 338.06968222222224 293.60301555555554 294.10301555555554 0.35046
40 1024 128 4 0 0 TT 5.0 25 0.0125 39.2968 5.3863 5.3863 4.2315 4.2315 187.9252377777778 338.06968222222224 293.60301555555554 294.10301555555554 0.35046
41 1024 128 4 0 0 TT 5.0 25 0.05 2.45605 5.2121 5.2121 4.0489 4.0489 187.9252377777778 338.06968222222224 293.60301555555554 294.10301555555554 0.35046
42 1024 128 4 0 0 TT 5.0 25 0.05 9.8242 5.2452 5.2452 4.093699999999999 4.093699999999999 187.9252377777778 338.06968222222224 293.60301555555554 294.10301555555554 0.35046
43 1024 128 4 0 0 TT 5.0 25 0.05 39.2968 5.3919 5.3919 4.225300000000001 4.225300000000001 187.9252377777778 338.06968222222224 293.60301555555554 294.10301555555554 0.35046
44 1024 128 4 0 0 TT 5.0 25 0.4 2.45605 5.2619 5.2619 4.0632 4.0632 187.9252377777778 338.06968222222224 293.60301555555554 294.10301555555554 0.35046
45 1024 128 4 0 0 TT 5.0 25 0.4 9.8242 5.2953 5.2953 4.1129 4.1129 187.9252377777778 338.06968222222224 293.60301555555554 294.10301555555554 0.35046
46 1024 128 4 0 0 TT 5.0 25 0.4 39.2968 5.441 5.441 4.2496 4.2496 187.9252377777778 338.06968222222224 293.60301555555554 294.10301555555554 0.35046
47 512 8 8 0 0 TT 5.0 25 0.0125 2.45605 2.4835 2.4835 1.8724999999999998 1.8724999999999998 30.614662266666667 42.90666226666667 39.61621782222223 39.54921782222223 0.0030825
48 512 8 8 0 0 TT 5.0 25 0.0125 9.8242 2.5258000000000003 2.5258000000000003 1.8851 1.8851 30.614662266666667 42.90666226666667 39.61621782222223 39.54921782222223 0.0030825
49 512 8 8 0 0 TT 5.0 25 0.0125 39.2968 2.6839 2.6839 1.9319 1.9319 30.614662266666667 42.90666226666667 39.61621782222223 39.54921782222223 0.0030825
50 512 8 8 0 0 TT 5.0 25 0.05 2.45605 2.4884 2.4884 1.8721 1.8721 30.614662266666667 42.90666226666667 39.61621782222223 39.54921782222223 0.0030825
51 512 8 8 0 0 TT 5.0 25 0.05 9.8242 2.5285 2.5285 1.8848 1.8848 30.614662266666667 42.90666226666667 39.61621782222223 39.54921782222223 0.0030825
52 512 8 8 0 0 TT 5.0 25 0.05 39.2968 2.6866999999999996 2.6866999999999996 1.9329999999999998 1.9329999999999998 30.614662266666667 42.90666226666667 39.61621782222223 39.54921782222223 0.0030825
53 512 8 8 0 0 TT 5.0 25 0.4 2.45605 2.5385 2.5385 1.8743 1.8743 30.614662266666667 42.90666226666667 39.61621782222223 39.54921782222223 0.0030825
54 512 8 8 0 0 TT 5.0 25 0.4 9.8242 2.58 2.58 1.8867 1.8867 30.614662266666667 42.90666226666667 39.61621782222223 39.54921782222223 0.0030825
55 512 8 8 0 0 TT 5.0 25 0.4 39.2968 2.7386 2.7386 1.9340000000000002 1.9340000000000002 30.614662266666667 42.90666226666667 39.61621782222223 39.54921782222223 0.0030825
56 256 32 4 0 0 TT 5.0 25 0.0125 2.45605 2.6952 2.6952 2.3218 2.3218 60.299196111111115 83.10086277777776 70.07586277777779 70.21464055555555 0.011888999999999999
57 256 32 4 0 0 TT 5.0 25 0.0125 9.8242 2.738 2.738 2.3394 2.3394 60.299196111111115 83.10086277777776 70.07586277777779 70.21464055555555 0.011888999999999999
58 256 32 4 0 0 TT 5.0 25 0.0125 39.2968 2.9009 2.9009 2.402 2.402 60.299196111111115 83.10086277777776 70.07586277777779 70.21464055555555 0.011888999999999999
59 256 32 4 0 0 TT 5.0 25 0.05 2.45605 2.6991 2.6991 2.3205 2.3205 60.299196111111115 83.10086277777776 70.07586277777779 70.21464055555555 0.011888999999999999
60 256 32 4 0 0 TT 5.0 25 0.05 9.8242 2.7422 2.7422 2.3390999999999997 2.3390999999999997 60.299196111111115 83.10086277777776 70.07586277777779 70.21464055555555 0.011888999999999999
61 256 32 4 0 0 TT 5.0 25 0.05 39.2968 2.9043 2.9043 2.4033 2.4033 60.299196111111115 83.10086277777776 70.07586277777779 70.21464055555555 0.011888999999999999
62 256 32 4 0 0 TT 5.0 25 0.4 2.45605 2.7506 2.7506 2.3253 2.3253 60.299196111111115 83.10086277777776 70.07586277777779 70.21464055555555 0.011888999999999999
63 256 32 4 0 0 TT 5.0 25 0.4 9.8242 2.7912 2.7912 2.3419 2.3419 60.299196111111115 83.10086277777776 70.07586277777779 70.21464055555555 0.011888999999999999
64 256 32 4 0 0 TT 5.0 25 0.4 39.2968 2.9557 2.9557 2.4034999999999997 2.4034999999999997 60.299196111111115 83.10086277777776 70.07586277777779 70.21464055555555 0.011888999999999999
65 1024 8 16 0 0 TT 5.0 25 0.0125 2.45605 3.0928 3.0928 1.7745 1.7745 42.4757716 66.06221604444444 62.891993822222226 62.80254937777777 0.007844799999999999
66 1024 8 16 0 0 TT 5.0 25 0.0125 9.8242 3.136 3.136 1.7886 1.7886 42.4757716 66.06221604444444 62.891993822222226 62.80254937777777 0.007844799999999999
67 1024 8 16 0 0 TT 5.0 25 0.0125 39.2968 3.3014 3.3014 1.8472 1.8472 42.4757716 66.06221604444444 62.891993822222226 62.80254937777777 0.007844799999999999
68 1024 8 16 0 0 TT 5.0 25 0.05 2.45605 3.0975 3.0975 1.7731 1.7731 42.4757716 66.06221604444444 62.891993822222226 62.80254937777777 0.007844799999999999
69 1024 8 16 0 0 TT 5.0 25 0.05 9.8242 3.1389 3.1389 1.7875 1.7875 42.4757716 66.06221604444444 62.891993822222226 62.80254937777777 0.007844799999999999
70 1024 8 16 0 0 TT 5.0 25 0.05 39.2968 3.3057 3.3057 1.8474000000000002 1.8474000000000002 42.4757716 66.06221604444444 62.891993822222226 62.80254937777777 0.007844799999999999
71 1024 8 16 0 0 TT 5.0 25 0.4 2.45605 3.1508 3.1508 1.7701 1.7701 42.4757716 66.06221604444444 62.891993822222226 62.80254937777777 0.007844799999999999
72 1024 8 16 0 0 TT 5.0 25 0.4 9.8242 3.1923 3.1923 1.7882 1.7882 42.4757716 66.06221604444444 62.891993822222226 62.80254937777777 0.007844799999999999
73 1024 8 16 0 0 TT 5.0 25 0.4 39.2968 3.3604000000000003 3.3604000000000003 1.8472 1.8472 42.4757716 66.06221604444444 62.891993822222226 62.80254937777777 0.007844799999999999
74 256 8 8 0 0 TT 5.0 25 0.0125 2.45605 2.4294 2.4294 1.8675 1.8675 29.76612616666667 39.60357061111111 36.31879283333333 36.25579283333333 0.0019987
75 256 8 8 0 0 TT 5.0 25 0.0125 9.8242 2.4688 2.4688 1.8803999999999998 1.8803999999999998 29.76612616666667 39.60357061111111 36.31879283333333 36.25579283333333 0.0019987
76 256 8 8 0 0 TT 5.0 25 0.0125 39.2968 2.6258999999999997 2.6258999999999997 1.9285 1.9285 29.76612616666667 39.60357061111111 36.31879283333333 36.25579283333333 0.0019987
77 256 8 8 0 0 TT 5.0 25 0.05 2.45605 2.434 2.434 1.8679000000000001 1.8679000000000001 29.76612616666667 39.60357061111111 36.31879283333333 36.25579283333333 0.0019987
78 256 8 8 0 0 TT 5.0 25 0.05 9.8242 2.4735 2.4735 1.8806999999999998 1.8806999999999998 29.76612616666667 39.60357061111111 36.31879283333333 36.25579283333333 0.0019987
79 256 8 8 0 0 TT 5.0 25 0.05 39.2968 2.6310000000000002 2.6310000000000002 1.9290999999999998 1.9290999999999998 29.76612616666667 39.60357061111111 36.31879283333333 36.25579283333333 0.0019987
80 256 8 8 0 0 TT 5.0 25 0.4 2.45605 2.4846999999999997 2.4846999999999997 1.8661 1.8661 29.76612616666667 39.60357061111111 36.31879283333333 36.25579283333333 0.0019987
81 256 8 8 0 0 TT 5.0 25 0.4 9.8242 2.5229 2.5229 1.8802999999999999 1.8802999999999999 29.76612616666667 39.60357061111111 36.31879283333333 36.25579283333333 0.0019987
82 256 8 8 0 0 TT 5.0 25 0.4 39.2968 2.6792 2.6792 1.9287 1.9287 29.76612616666667 39.60357061111111 36.31879283333333 36.25579283333333 0.0019987
83 512 32 4 0 0 TT 5.0 25 0.0125 2.45605 2.9253 2.9253 2.3095 2.3095 58.61118355555555 87.06329466666666 75.15751688888889 75.219628 0.017759
84 512 32 4 0 0 TT 5.0 25 0.0125 9.8242 2.9649 2.9649 2.3266999999999998 2.3266999999999998 58.61118355555555 87.06329466666666 75.15751688888889 75.219628 0.017759
85 512 32 4 0 0 TT 5.0 25 0.0125 39.2968 3.1195999999999997 3.1195999999999997 2.393 2.393 58.61118355555555 87.06329466666666 75.15751688888889 75.219628 0.017759
86 512 32 4 0 0 TT 5.0 25 0.05 2.45605 2.9297999999999997 2.9297999999999997 2.3117 2.3117 58.61118355555555 87.06329466666666 75.15751688888889 75.219628 0.017759
87 512 32 4 0 0 TT 5.0 25 0.05 9.8242 2.9674 2.9674 2.3271 2.3271 58.61118355555555 87.06329466666666 75.15751688888889 75.219628 0.017759
88 512 32 4 0 0 TT 5.0 25 0.05 39.2968 3.1227 3.1227 2.3937 2.3937 58.61118355555555 87.06329466666666 75.15751688888889 75.219628 0.017759
89 512 32 4 0 0 TT 5.0 25 0.4 2.45605 2.976 2.976 2.3102 2.3102 58.61118355555555 87.06329466666666 75.15751688888889 75.219628 0.017759
90 512 32 4 0 0 TT 5.0 25 0.4 9.8242 3.0193000000000003 3.0193000000000003 2.3262 2.3262 58.61118355555555 87.06329466666666 75.15751688888889 75.219628 0.017759
91 512 32 4 0 0 TT 5.0 25 0.4 39.2968 3.1761 3.1761 2.3941999999999997 2.3941999999999997 58.61118355555555 87.06329466666666 75.15751688888889 75.219628 0.017759

View File

@ -1,244 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,write0_power
16,2,1,46853,FF,5.0,25,0.0125,2.45605,18.51111111111111
16,2,1,46853,FF,5.0,25,0.0125,9.8242,18.51111111111111
16,2,1,46853,FF,5.0,25,0.0125,39.2968,18.51111111111111
16,2,1,46853,FF,5.0,25,0.05,2.45605,18.51111111111111
16,2,1,46853,FF,5.0,25,0.05,9.8242,18.51111111111111
16,2,1,46853,FF,5.0,25,0.05,39.2968,18.51111111111111
16,2,1,46853,FF,5.0,25,0.4,2.45605,18.51111111111111
16,2,1,46853,FF,5.0,25,0.4,9.8242,18.51111111111111
16,2,1,46853,FF,5.0,25,0.4,39.2968,18.51111111111111
16,2,1,46853,SS,5.0,25,0.0125,2.45605,16.669833333333333
16,2,1,46853,SS,5.0,25,0.0125,9.8242,16.669833333333333
16,2,1,46853,SS,5.0,25,0.0125,39.2968,16.669833333333333
16,2,1,46853,SS,5.0,25,0.05,2.45605,16.669833333333333
16,2,1,46853,SS,5.0,25,0.05,9.8242,16.669833333333333
16,2,1,46853,SS,5.0,25,0.05,39.2968,16.669833333333333
16,2,1,46853,SS,5.0,25,0.4,2.45605,16.669833333333333
16,2,1,46853,SS,5.0,25,0.4,9.8242,16.669833333333333
16,2,1,46853,SS,5.0,25,0.4,39.2968,16.669833333333333
16,2,1,46853,TT,3.6,25,0.0125,2.45605,6.557822222222223
16,2,1,46853,TT,3.6,25,0.0125,9.8242,6.557822222222223
16,2,1,46853,TT,3.6,25,0.0125,39.2968,6.557822222222223
16,2,1,46853,TT,3.6,25,0.05,2.45605,6.557822222222223
16,2,1,46853,TT,3.6,25,0.05,9.8242,6.557822222222223
16,2,1,46853,TT,3.6,25,0.05,39.2968,6.557822222222223
16,2,1,46853,TT,3.6,25,0.4,2.45605,6.557822222222223
16,2,1,46853,TT,3.6,25,0.4,9.8242,6.557822222222223
16,2,1,46853,TT,3.6,25,0.4,39.2968,6.557822222222223
64,2,4,66821,FF,5.0,25,0.0125,2.45605,22.194266666666664
64,2,4,66821,FF,5.0,25,0.0125,9.8242,22.194266666666664
64,2,4,66821,FF,5.0,25,0.0125,39.2968,22.194266666666664
64,2,4,66821,FF,5.0,25,0.05,2.45605,22.194266666666664
64,2,4,66821,FF,5.0,25,0.05,9.8242,22.194266666666664
64,2,4,66821,FF,5.0,25,0.05,39.2968,22.194266666666664
64,2,4,66821,FF,5.0,25,0.4,2.45605,22.194266666666664
64,2,4,66821,FF,5.0,25,0.4,9.8242,22.194266666666664
64,2,4,66821,FF,5.0,25,0.4,39.2968,22.194266666666664
64,2,4,66821,SS,5.0,25,0.0125,2.45605,20.079666666666668
64,2,4,66821,SS,5.0,25,0.0125,9.8242,20.079666666666668
64,2,4,66821,SS,5.0,25,0.0125,39.2968,20.079666666666668
64,2,4,66821,SS,5.0,25,0.05,2.45605,20.079666666666668
64,2,4,66821,SS,5.0,25,0.05,9.8242,20.079666666666668
64,2,4,66821,SS,5.0,25,0.05,39.2968,20.079666666666668
64,2,4,66821,SS,5.0,25,0.4,2.45605,20.079666666666668
64,2,4,66821,SS,5.0,25,0.4,9.8242,20.079666666666668
64,2,4,66821,SS,5.0,25,0.4,39.2968,20.079666666666668
64,2,4,66821,TT,3.6,25,0.0125,2.45605,7.7370222222222225
64,2,4,66821,TT,3.6,25,0.0125,9.8242,7.7370222222222225
64,2,4,66821,TT,3.6,25,0.0125,39.2968,7.7370222222222225
64,2,4,66821,TT,3.6,25,0.05,2.45605,7.7370222222222225
64,2,4,66821,TT,3.6,25,0.05,9.8242,7.7370222222222225
64,2,4,66821,TT,3.6,25,0.05,39.2968,7.7370222222222225
64,2,4,66821,TT,3.6,25,0.4,2.45605,7.7370222222222225
64,2,4,66821,TT,3.6,25,0.4,9.8242,7.7370222222222225
64,2,4,66821,TT,3.6,25,0.4,39.2968,7.7370222222222225
16,1,1,44918,FF,5.0,25,0.0125,2.45605,17.124444444444446
16,1,1,44918,FF,5.0,25,0.0125,9.8242,17.124444444444446
16,1,1,44918,FF,5.0,25,0.0125,39.2968,17.124444444444446
16,1,1,44918,FF,5.0,25,0.05,2.45605,17.124444444444446
16,1,1,44918,FF,5.0,25,0.05,9.8242,17.124444444444446
16,1,1,44918,FF,5.0,25,0.05,39.2968,17.124444444444446
16,1,1,44918,FF,5.0,25,0.4,2.45605,17.124444444444446
16,1,1,44918,FF,5.0,25,0.4,9.8242,17.124444444444446
16,1,1,44918,FF,5.0,25,0.4,39.2968,17.124444444444446
16,1,1,44918,SS,5.0,25,0.0125,2.45605,16.054355555555553
16,1,1,44918,SS,5.0,25,0.0125,9.8242,16.054355555555553
16,1,1,44918,SS,5.0,25,0.0125,39.2968,16.054355555555553
16,1,1,44918,SS,5.0,25,0.05,2.45605,16.054355555555553
16,1,1,44918,SS,5.0,25,0.05,9.8242,16.054355555555553
16,1,1,44918,SS,5.0,25,0.05,39.2968,16.054355555555553
16,1,1,44918,SS,5.0,25,0.4,2.45605,16.054355555555553
16,1,1,44918,SS,5.0,25,0.4,9.8242,16.054355555555553
16,1,1,44918,SS,5.0,25,0.4,39.2968,16.054355555555553
16,1,1,44918,TT,3.6,25,0.0125,2.45605,6.014788888888889
16,1,1,44918,TT,3.6,25,0.0125,9.8242,6.014788888888889
16,1,1,44918,TT,3.6,25,0.0125,39.2968,6.014788888888889
16,1,1,44918,TT,3.6,25,0.05,2.45605,6.014788888888889
16,1,1,44918,TT,3.6,25,0.05,9.8242,6.014788888888889
16,1,1,44918,TT,3.6,25,0.05,39.2968,6.014788888888889
16,1,1,44918,TT,3.6,25,0.4,2.45605,6.014788888888889
16,1,1,44918,TT,3.6,25,0.4,9.8242,6.014788888888889
16,1,1,44918,TT,3.6,25,0.4,39.2968,6.014788888888889
32,3,2,61533,FF,5.0,25,0.0125,2.45605,21.896033333333335
32,3,2,61533,FF,5.0,25,0.0125,9.8242,21.896033333333335
32,3,2,61533,FF,5.0,25,0.0125,39.2968,21.896033333333335
32,3,2,61533,FF,5.0,25,0.05,2.45605,21.896033333333335
32,3,2,61533,FF,5.0,25,0.05,9.8242,21.896033333333335
32,3,2,61533,FF,5.0,25,0.05,39.2968,21.896033333333335
32,3,2,61533,FF,5.0,25,0.4,2.45605,21.896033333333335
32,3,2,61533,FF,5.0,25,0.4,9.8242,21.896033333333335
32,3,2,61533,FF,5.0,25,0.4,39.2968,21.896033333333335
32,3,2,61533,SS,5.0,25,0.0125,2.45605,19.810144444444447
32,3,2,61533,SS,5.0,25,0.0125,9.8242,19.810144444444447
32,3,2,61533,SS,5.0,25,0.0125,39.2968,19.810144444444447
32,3,2,61533,SS,5.0,25,0.05,2.45605,19.810144444444447
32,3,2,61533,SS,5.0,25,0.05,9.8242,19.810144444444447
32,3,2,61533,SS,5.0,25,0.05,39.2968,19.810144444444447
32,3,2,61533,SS,5.0,25,0.4,2.45605,19.810144444444447
32,3,2,61533,SS,5.0,25,0.4,9.8242,19.810144444444447
32,3,2,61533,SS,5.0,25,0.4,39.2968,19.810144444444447
32,3,2,61533,TT,3.6,25,0.0125,2.45605,7.5868777777777785
32,3,2,61533,TT,3.6,25,0.0125,9.8242,7.5868777777777785
32,3,2,61533,TT,3.6,25,0.0125,39.2968,7.5868777777777785
32,3,2,61533,TT,3.6,25,0.05,2.45605,7.5868777777777785
32,3,2,61533,TT,3.6,25,0.05,9.8242,7.5868777777777785
32,3,2,61533,TT,3.6,25,0.05,39.2968,7.5868777777777785
32,3,2,61533,TT,3.6,25,0.4,2.45605,7.5868777777777785
32,3,2,61533,TT,3.6,25,0.4,9.8242,7.5868777777777785
32,3,2,61533,TT,3.6,25,0.4,39.2968,7.5868777777777785
32,2,2,55960,FF,5.0,25,0.0125,2.45605,19.912277777777778
32,2,2,55960,FF,5.0,25,0.0125,9.8242,19.912277777777778
32,2,2,55960,FF,5.0,25,0.0125,39.2968,19.912277777777778
32,2,2,55960,FF,5.0,25,0.05,2.45605,19.912277777777778
32,2,2,55960,FF,5.0,25,0.05,9.8242,19.912277777777778
32,2,2,55960,FF,5.0,25,0.05,39.2968,19.912277777777778
32,2,2,55960,FF,5.0,25,0.4,2.45605,19.912277777777778
32,2,2,55960,FF,5.0,25,0.4,9.8242,19.912277777777778
32,2,2,55960,FF,5.0,25,0.4,39.2968,19.912277777777778
32,2,2,55960,SS,5.0,25,0.0125,2.45605,17.958355555555556
32,2,2,55960,SS,5.0,25,0.0125,9.8242,17.958355555555556
32,2,2,55960,SS,5.0,25,0.0125,39.2968,17.958355555555556
32,2,2,55960,SS,5.0,25,0.05,2.45605,17.958355555555556
32,2,2,55960,SS,5.0,25,0.05,9.8242,17.958355555555556
32,2,2,55960,SS,5.0,25,0.05,39.2968,17.958355555555556
32,2,2,55960,SS,5.0,25,0.4,2.45605,17.958355555555556
32,2,2,55960,SS,5.0,25,0.4,9.8242,17.958355555555556
32,2,2,55960,SS,5.0,25,0.4,39.2968,17.958355555555556
32,2,2,55960,TT,3.6,25,0.0125,2.45605,6.832988888888889
32,2,2,55960,TT,3.6,25,0.0125,9.8242,6.832988888888889
32,2,2,55960,TT,3.6,25,0.0125,39.2968,6.832988888888889
32,2,2,55960,TT,3.6,25,0.05,2.45605,6.832988888888889
32,2,2,55960,TT,3.6,25,0.05,9.8242,6.832988888888889
32,2,2,55960,TT,3.6,25,0.05,39.2968,6.832988888888889
32,2,2,55960,TT,3.6,25,0.4,2.45605,6.832988888888889
32,2,2,55960,TT,3.6,25,0.4,9.8242,6.832988888888889
32,2,2,55960,TT,3.6,25,0.4,39.2968,6.832988888888889
16,3,1,49288,FF,5.0,25,0.0125,2.45605,19.964633333333335
16,3,1,49288,FF,5.0,25,0.0125,9.8242,19.964633333333335
16,3,1,49288,FF,5.0,25,0.0125,39.2968,19.964633333333335
16,3,1,49288,FF,5.0,25,0.05,2.45605,19.964633333333335
16,3,1,49288,FF,5.0,25,0.05,9.8242,19.964633333333335
16,3,1,49288,FF,5.0,25,0.05,39.2968,19.964633333333335
16,3,1,49288,FF,5.0,25,0.4,2.45605,19.964633333333335
16,3,1,49288,FF,5.0,25,0.4,9.8242,19.964633333333335
16,3,1,49288,FF,5.0,25,0.4,39.2968,19.964633333333335
16,3,1,49288,SS,5.0,25,0.0125,2.45605,18.017455555555554
16,3,1,49288,SS,5.0,25,0.0125,9.8242,18.017455555555554
16,3,1,49288,SS,5.0,25,0.0125,39.2968,18.017455555555554
16,3,1,49288,SS,5.0,25,0.05,2.45605,18.017455555555554
16,3,1,49288,SS,5.0,25,0.05,9.8242,18.017455555555554
16,3,1,49288,SS,5.0,25,0.05,39.2968,18.017455555555554
16,3,1,49288,SS,5.0,25,0.4,2.45605,18.017455555555554
16,3,1,49288,SS,5.0,25,0.4,9.8242,18.017455555555554
16,3,1,49288,SS,5.0,25,0.4,39.2968,18.017455555555554
16,3,1,49288,TT,3.6,25,0.0125,2.45605,6.829933333333334
16,3,1,49288,TT,3.6,25,0.0125,9.8242,6.829933333333334
16,3,1,49288,TT,3.6,25,0.0125,39.2968,6.829933333333334
16,3,1,49288,TT,3.6,25,0.05,2.45605,6.829933333333334
16,3,1,49288,TT,3.6,25,0.05,9.8242,6.829933333333334
16,3,1,49288,TT,3.6,25,0.05,39.2968,6.829933333333334
16,3,1,49288,TT,3.6,25,0.4,2.45605,6.829933333333334
16,3,1,49288,TT,3.6,25,0.4,9.8242,6.829933333333334
16,3,1,49288,TT,3.6,25,0.4,39.2968,6.829933333333334
64,1,4,56307,FF,5.0,25,0.0125,2.45605,19.206566666666667
64,1,4,56307,FF,5.0,25,0.0125,9.8242,19.206566666666667
64,1,4,56307,FF,5.0,25,0.0125,39.2968,19.206566666666667
64,1,4,56307,FF,5.0,25,0.05,2.45605,19.206566666666667
64,1,4,56307,FF,5.0,25,0.05,9.8242,19.206566666666667
64,1,4,56307,FF,5.0,25,0.05,39.2968,19.206566666666667
64,1,4,56307,FF,5.0,25,0.4,2.45605,19.206566666666667
64,1,4,56307,FF,5.0,25,0.4,9.8242,19.206566666666667
64,1,4,56307,FF,5.0,25,0.4,39.2968,19.206566666666667
64,1,4,56307,SS,5.0,25,0.0125,2.45605,18.17966666666667
64,1,4,56307,SS,5.0,25,0.0125,9.8242,18.17966666666667
64,1,4,56307,SS,5.0,25,0.0125,39.2968,18.17966666666667
64,1,4,56307,SS,5.0,25,0.05,2.45605,18.17966666666667
64,1,4,56307,SS,5.0,25,0.05,9.8242,18.17966666666667
64,1,4,56307,SS,5.0,25,0.05,39.2968,18.17966666666667
64,1,4,56307,SS,5.0,25,0.4,2.45605,18.17966666666667
64,1,4,56307,SS,5.0,25,0.4,9.8242,18.17966666666667
64,1,4,56307,SS,5.0,25,0.4,39.2968,18.17966666666667
64,1,4,56307,TT,3.6,25,0.0125,2.45605,6.889222222222222
64,1,4,56307,TT,3.6,25,0.0125,9.8242,6.889222222222222
64,1,4,56307,TT,3.6,25,0.0125,39.2968,6.889222222222222
64,1,4,56307,TT,3.6,25,0.05,2.45605,6.889222222222222
64,1,4,56307,TT,3.6,25,0.05,9.8242,6.889222222222222
64,1,4,56307,TT,3.6,25,0.05,39.2968,6.889222222222222
64,1,4,56307,TT,3.6,25,0.4,2.45605,6.889222222222222
64,1,4,56307,TT,3.6,25,0.4,9.8242,6.889222222222222
64,1,4,56307,TT,3.6,25,0.4,39.2968,6.889222222222222
32,1,2,50620,FF,5.0,25,0.0125,2.45605,18.07902222222222
32,1,2,50620,FF,5.0,25,0.0125,9.8242,18.07902222222222
32,1,2,50620,FF,5.0,25,0.0125,39.2968,18.07902222222222
32,1,2,50620,FF,5.0,25,0.05,2.45605,18.07902222222222
32,1,2,50620,FF,5.0,25,0.05,9.8242,18.07902222222222
32,1,2,50620,FF,5.0,25,0.05,39.2968,18.07902222222222
32,1,2,50620,FF,5.0,25,0.4,2.45605,18.07902222222222
32,1,2,50620,FF,5.0,25,0.4,9.8242,18.07902222222222
32,1,2,50620,FF,5.0,25,0.4,39.2968,18.07902222222222
32,1,2,50620,SS,5.0,25,0.0125,2.45605,17.033544444444445
32,1,2,50620,SS,5.0,25,0.0125,9.8242,17.033544444444445
32,1,2,50620,SS,5.0,25,0.0125,39.2968,17.033544444444445
32,1,2,50620,SS,5.0,25,0.05,2.45605,17.033544444444445
32,1,2,50620,SS,5.0,25,0.05,9.8242,17.033544444444445
32,1,2,50620,SS,5.0,25,0.05,39.2968,17.033544444444445
32,1,2,50620,SS,5.0,25,0.4,2.45605,17.033544444444445
32,1,2,50620,SS,5.0,25,0.4,9.8242,17.033544444444445
32,1,2,50620,SS,5.0,25,0.4,39.2968,17.033544444444445
32,1,2,50620,TT,3.6,25,0.0125,2.45605,6.437566666666667
32,1,2,50620,TT,3.6,25,0.0125,9.8242,6.437566666666667
32,1,2,50620,TT,3.6,25,0.0125,39.2968,6.437566666666667
32,1,2,50620,TT,3.6,25,0.05,2.45605,6.437566666666667
32,1,2,50620,TT,3.6,25,0.05,9.8242,6.437566666666667
32,1,2,50620,TT,3.6,25,0.05,39.2968,6.437566666666667
32,1,2,50620,TT,3.6,25,0.4,2.45605,6.437566666666667
32,1,2,50620,TT,3.6,25,0.4,9.8242,6.437566666666667
32,1,2,50620,TT,3.6,25,0.4,39.2968,6.437566666666667
16,4,1,51796,FF,5.0,25,0.0125,2.45605,21.5115
16,4,1,51796,FF,5.0,25,0.0125,9.8242,21.5115
16,4,1,51796,FF,5.0,25,0.0125,39.2968,21.5115
16,4,1,51796,FF,5.0,25,0.05,2.45605,21.5115
16,4,1,51796,FF,5.0,25,0.05,9.8242,21.5115
16,4,1,51796,FF,5.0,25,0.05,39.2968,21.5115
16,4,1,51796,FF,5.0,25,0.4,2.45605,21.5115
16,4,1,51796,FF,5.0,25,0.4,9.8242,21.5115
16,4,1,51796,FF,5.0,25,0.4,39.2968,21.5115
16,4,1,51796,SS,5.0,25,0.0125,2.45605,19.3902
16,4,1,51796,SS,5.0,25,0.0125,9.8242,19.3902
16,4,1,51796,SS,5.0,25,0.0125,39.2968,19.3902
16,4,1,51796,SS,5.0,25,0.05,2.45605,19.3902
16,4,1,51796,SS,5.0,25,0.05,9.8242,19.3902
16,4,1,51796,SS,5.0,25,0.05,39.2968,19.3902
16,4,1,51796,SS,5.0,25,0.4,2.45605,19.3902
16,4,1,51796,SS,5.0,25,0.4,9.8242,19.3902
16,4,1,51796,SS,5.0,25,0.4,39.2968,19.3902
16,4,1,51796,TT,5.0,25,0.0125,2.45605,19.861788888888885
16,4,1,51796,TT,5.0,25,0.0125,9.8242,19.861788888888885
16,4,1,51796,TT,5.0,25,0.0125,39.2968,19.861788888888885
16,4,1,51796,TT,5.0,25,0.05,2.45605,19.861788888888885
16,4,1,51796,TT,5.0,25,0.05,9.8242,19.861788888888885
16,4,1,51796,TT,5.0,25,0.05,39.2968,19.861788888888885
16,4,1,51796,TT,5.0,25,0.4,2.45605,19.861788888888885
16,4,1,51796,TT,5.0,25,0.4,9.8242,19.861788888888885
16,4,1,51796,TT,5.0,25,0.4,39.2968,19.861788888888885
1 num_words word_size words_per_row area process voltage temperature slew load write0_power
2 16 2 1 46853 FF 5.0 25 0.0125 2.45605 18.51111111111111
3 16 2 1 46853 FF 5.0 25 0.0125 9.8242 18.51111111111111
4 16 2 1 46853 FF 5.0 25 0.0125 39.2968 18.51111111111111
5 16 2 1 46853 FF 5.0 25 0.05 2.45605 18.51111111111111
6 16 2 1 46853 FF 5.0 25 0.05 9.8242 18.51111111111111
7 16 2 1 46853 FF 5.0 25 0.05 39.2968 18.51111111111111
8 16 2 1 46853 FF 5.0 25 0.4 2.45605 18.51111111111111
9 16 2 1 46853 FF 5.0 25 0.4 9.8242 18.51111111111111
10 16 2 1 46853 FF 5.0 25 0.4 39.2968 18.51111111111111
11 16 2 1 46853 SS 5.0 25 0.0125 2.45605 16.669833333333333
12 16 2 1 46853 SS 5.0 25 0.0125 9.8242 16.669833333333333
13 16 2 1 46853 SS 5.0 25 0.0125 39.2968 16.669833333333333
14 16 2 1 46853 SS 5.0 25 0.05 2.45605 16.669833333333333
15 16 2 1 46853 SS 5.0 25 0.05 9.8242 16.669833333333333
16 16 2 1 46853 SS 5.0 25 0.05 39.2968 16.669833333333333
17 16 2 1 46853 SS 5.0 25 0.4 2.45605 16.669833333333333
18 16 2 1 46853 SS 5.0 25 0.4 9.8242 16.669833333333333
19 16 2 1 46853 SS 5.0 25 0.4 39.2968 16.669833333333333
20 16 2 1 46853 TT 3.6 25 0.0125 2.45605 6.557822222222223
21 16 2 1 46853 TT 3.6 25 0.0125 9.8242 6.557822222222223
22 16 2 1 46853 TT 3.6 25 0.0125 39.2968 6.557822222222223
23 16 2 1 46853 TT 3.6 25 0.05 2.45605 6.557822222222223
24 16 2 1 46853 TT 3.6 25 0.05 9.8242 6.557822222222223
25 16 2 1 46853 TT 3.6 25 0.05 39.2968 6.557822222222223
26 16 2 1 46853 TT 3.6 25 0.4 2.45605 6.557822222222223
27 16 2 1 46853 TT 3.6 25 0.4 9.8242 6.557822222222223
28 16 2 1 46853 TT 3.6 25 0.4 39.2968 6.557822222222223
29 64 2 4 66821 FF 5.0 25 0.0125 2.45605 22.194266666666664
30 64 2 4 66821 FF 5.0 25 0.0125 9.8242 22.194266666666664
31 64 2 4 66821 FF 5.0 25 0.0125 39.2968 22.194266666666664
32 64 2 4 66821 FF 5.0 25 0.05 2.45605 22.194266666666664
33 64 2 4 66821 FF 5.0 25 0.05 9.8242 22.194266666666664
34 64 2 4 66821 FF 5.0 25 0.05 39.2968 22.194266666666664
35 64 2 4 66821 FF 5.0 25 0.4 2.45605 22.194266666666664
36 64 2 4 66821 FF 5.0 25 0.4 9.8242 22.194266666666664
37 64 2 4 66821 FF 5.0 25 0.4 39.2968 22.194266666666664
38 64 2 4 66821 SS 5.0 25 0.0125 2.45605 20.079666666666668
39 64 2 4 66821 SS 5.0 25 0.0125 9.8242 20.079666666666668
40 64 2 4 66821 SS 5.0 25 0.0125 39.2968 20.079666666666668
41 64 2 4 66821 SS 5.0 25 0.05 2.45605 20.079666666666668
42 64 2 4 66821 SS 5.0 25 0.05 9.8242 20.079666666666668
43 64 2 4 66821 SS 5.0 25 0.05 39.2968 20.079666666666668
44 64 2 4 66821 SS 5.0 25 0.4 2.45605 20.079666666666668
45 64 2 4 66821 SS 5.0 25 0.4 9.8242 20.079666666666668
46 64 2 4 66821 SS 5.0 25 0.4 39.2968 20.079666666666668
47 64 2 4 66821 TT 3.6 25 0.0125 2.45605 7.7370222222222225
48 64 2 4 66821 TT 3.6 25 0.0125 9.8242 7.7370222222222225
49 64 2 4 66821 TT 3.6 25 0.0125 39.2968 7.7370222222222225
50 64 2 4 66821 TT 3.6 25 0.05 2.45605 7.7370222222222225
51 64 2 4 66821 TT 3.6 25 0.05 9.8242 7.7370222222222225
52 64 2 4 66821 TT 3.6 25 0.05 39.2968 7.7370222222222225
53 64 2 4 66821 TT 3.6 25 0.4 2.45605 7.7370222222222225
54 64 2 4 66821 TT 3.6 25 0.4 9.8242 7.7370222222222225
55 64 2 4 66821 TT 3.6 25 0.4 39.2968 7.7370222222222225
56 16 1 1 44918 FF 5.0 25 0.0125 2.45605 17.124444444444446
57 16 1 1 44918 FF 5.0 25 0.0125 9.8242 17.124444444444446
58 16 1 1 44918 FF 5.0 25 0.0125 39.2968 17.124444444444446
59 16 1 1 44918 FF 5.0 25 0.05 2.45605 17.124444444444446
60 16 1 1 44918 FF 5.0 25 0.05 9.8242 17.124444444444446
61 16 1 1 44918 FF 5.0 25 0.05 39.2968 17.124444444444446
62 16 1 1 44918 FF 5.0 25 0.4 2.45605 17.124444444444446
63 16 1 1 44918 FF 5.0 25 0.4 9.8242 17.124444444444446
64 16 1 1 44918 FF 5.0 25 0.4 39.2968 17.124444444444446
65 16 1 1 44918 SS 5.0 25 0.0125 2.45605 16.054355555555553
66 16 1 1 44918 SS 5.0 25 0.0125 9.8242 16.054355555555553
67 16 1 1 44918 SS 5.0 25 0.0125 39.2968 16.054355555555553
68 16 1 1 44918 SS 5.0 25 0.05 2.45605 16.054355555555553
69 16 1 1 44918 SS 5.0 25 0.05 9.8242 16.054355555555553
70 16 1 1 44918 SS 5.0 25 0.05 39.2968 16.054355555555553
71 16 1 1 44918 SS 5.0 25 0.4 2.45605 16.054355555555553
72 16 1 1 44918 SS 5.0 25 0.4 9.8242 16.054355555555553
73 16 1 1 44918 SS 5.0 25 0.4 39.2968 16.054355555555553
74 16 1 1 44918 TT 3.6 25 0.0125 2.45605 6.014788888888889
75 16 1 1 44918 TT 3.6 25 0.0125 9.8242 6.014788888888889
76 16 1 1 44918 TT 3.6 25 0.0125 39.2968 6.014788888888889
77 16 1 1 44918 TT 3.6 25 0.05 2.45605 6.014788888888889
78 16 1 1 44918 TT 3.6 25 0.05 9.8242 6.014788888888889
79 16 1 1 44918 TT 3.6 25 0.05 39.2968 6.014788888888889
80 16 1 1 44918 TT 3.6 25 0.4 2.45605 6.014788888888889
81 16 1 1 44918 TT 3.6 25 0.4 9.8242 6.014788888888889
82 16 1 1 44918 TT 3.6 25 0.4 39.2968 6.014788888888889
83 32 3 2 61533 FF 5.0 25 0.0125 2.45605 21.896033333333335
84 32 3 2 61533 FF 5.0 25 0.0125 9.8242 21.896033333333335
85 32 3 2 61533 FF 5.0 25 0.0125 39.2968 21.896033333333335
86 32 3 2 61533 FF 5.0 25 0.05 2.45605 21.896033333333335
87 32 3 2 61533 FF 5.0 25 0.05 9.8242 21.896033333333335
88 32 3 2 61533 FF 5.0 25 0.05 39.2968 21.896033333333335
89 32 3 2 61533 FF 5.0 25 0.4 2.45605 21.896033333333335
90 32 3 2 61533 FF 5.0 25 0.4 9.8242 21.896033333333335
91 32 3 2 61533 FF 5.0 25 0.4 39.2968 21.896033333333335
92 32 3 2 61533 SS 5.0 25 0.0125 2.45605 19.810144444444447
93 32 3 2 61533 SS 5.0 25 0.0125 9.8242 19.810144444444447
94 32 3 2 61533 SS 5.0 25 0.0125 39.2968 19.810144444444447
95 32 3 2 61533 SS 5.0 25 0.05 2.45605 19.810144444444447
96 32 3 2 61533 SS 5.0 25 0.05 9.8242 19.810144444444447
97 32 3 2 61533 SS 5.0 25 0.05 39.2968 19.810144444444447
98 32 3 2 61533 SS 5.0 25 0.4 2.45605 19.810144444444447
99 32 3 2 61533 SS 5.0 25 0.4 9.8242 19.810144444444447
100 32 3 2 61533 SS 5.0 25 0.4 39.2968 19.810144444444447
101 32 3 2 61533 TT 3.6 25 0.0125 2.45605 7.5868777777777785
102 32 3 2 61533 TT 3.6 25 0.0125 9.8242 7.5868777777777785
103 32 3 2 61533 TT 3.6 25 0.0125 39.2968 7.5868777777777785
104 32 3 2 61533 TT 3.6 25 0.05 2.45605 7.5868777777777785
105 32 3 2 61533 TT 3.6 25 0.05 9.8242 7.5868777777777785
106 32 3 2 61533 TT 3.6 25 0.05 39.2968 7.5868777777777785
107 32 3 2 61533 TT 3.6 25 0.4 2.45605 7.5868777777777785
108 32 3 2 61533 TT 3.6 25 0.4 9.8242 7.5868777777777785
109 32 3 2 61533 TT 3.6 25 0.4 39.2968 7.5868777777777785
110 32 2 2 55960 FF 5.0 25 0.0125 2.45605 19.912277777777778
111 32 2 2 55960 FF 5.0 25 0.0125 9.8242 19.912277777777778
112 32 2 2 55960 FF 5.0 25 0.0125 39.2968 19.912277777777778
113 32 2 2 55960 FF 5.0 25 0.05 2.45605 19.912277777777778
114 32 2 2 55960 FF 5.0 25 0.05 9.8242 19.912277777777778
115 32 2 2 55960 FF 5.0 25 0.05 39.2968 19.912277777777778
116 32 2 2 55960 FF 5.0 25 0.4 2.45605 19.912277777777778
117 32 2 2 55960 FF 5.0 25 0.4 9.8242 19.912277777777778
118 32 2 2 55960 FF 5.0 25 0.4 39.2968 19.912277777777778
119 32 2 2 55960 SS 5.0 25 0.0125 2.45605 17.958355555555556
120 32 2 2 55960 SS 5.0 25 0.0125 9.8242 17.958355555555556
121 32 2 2 55960 SS 5.0 25 0.0125 39.2968 17.958355555555556
122 32 2 2 55960 SS 5.0 25 0.05 2.45605 17.958355555555556
123 32 2 2 55960 SS 5.0 25 0.05 9.8242 17.958355555555556
124 32 2 2 55960 SS 5.0 25 0.05 39.2968 17.958355555555556
125 32 2 2 55960 SS 5.0 25 0.4 2.45605 17.958355555555556
126 32 2 2 55960 SS 5.0 25 0.4 9.8242 17.958355555555556
127 32 2 2 55960 SS 5.0 25 0.4 39.2968 17.958355555555556
128 32 2 2 55960 TT 3.6 25 0.0125 2.45605 6.832988888888889
129 32 2 2 55960 TT 3.6 25 0.0125 9.8242 6.832988888888889
130 32 2 2 55960 TT 3.6 25 0.0125 39.2968 6.832988888888889
131 32 2 2 55960 TT 3.6 25 0.05 2.45605 6.832988888888889
132 32 2 2 55960 TT 3.6 25 0.05 9.8242 6.832988888888889
133 32 2 2 55960 TT 3.6 25 0.05 39.2968 6.832988888888889
134 32 2 2 55960 TT 3.6 25 0.4 2.45605 6.832988888888889
135 32 2 2 55960 TT 3.6 25 0.4 9.8242 6.832988888888889
136 32 2 2 55960 TT 3.6 25 0.4 39.2968 6.832988888888889
137 16 3 1 49288 FF 5.0 25 0.0125 2.45605 19.964633333333335
138 16 3 1 49288 FF 5.0 25 0.0125 9.8242 19.964633333333335
139 16 3 1 49288 FF 5.0 25 0.0125 39.2968 19.964633333333335
140 16 3 1 49288 FF 5.0 25 0.05 2.45605 19.964633333333335
141 16 3 1 49288 FF 5.0 25 0.05 9.8242 19.964633333333335
142 16 3 1 49288 FF 5.0 25 0.05 39.2968 19.964633333333335
143 16 3 1 49288 FF 5.0 25 0.4 2.45605 19.964633333333335
144 16 3 1 49288 FF 5.0 25 0.4 9.8242 19.964633333333335
145 16 3 1 49288 FF 5.0 25 0.4 39.2968 19.964633333333335
146 16 3 1 49288 SS 5.0 25 0.0125 2.45605 18.017455555555554
147 16 3 1 49288 SS 5.0 25 0.0125 9.8242 18.017455555555554
148 16 3 1 49288 SS 5.0 25 0.0125 39.2968 18.017455555555554
149 16 3 1 49288 SS 5.0 25 0.05 2.45605 18.017455555555554
150 16 3 1 49288 SS 5.0 25 0.05 9.8242 18.017455555555554
151 16 3 1 49288 SS 5.0 25 0.05 39.2968 18.017455555555554
152 16 3 1 49288 SS 5.0 25 0.4 2.45605 18.017455555555554
153 16 3 1 49288 SS 5.0 25 0.4 9.8242 18.017455555555554
154 16 3 1 49288 SS 5.0 25 0.4 39.2968 18.017455555555554
155 16 3 1 49288 TT 3.6 25 0.0125 2.45605 6.829933333333334
156 16 3 1 49288 TT 3.6 25 0.0125 9.8242 6.829933333333334
157 16 3 1 49288 TT 3.6 25 0.0125 39.2968 6.829933333333334
158 16 3 1 49288 TT 3.6 25 0.05 2.45605 6.829933333333334
159 16 3 1 49288 TT 3.6 25 0.05 9.8242 6.829933333333334
160 16 3 1 49288 TT 3.6 25 0.05 39.2968 6.829933333333334
161 16 3 1 49288 TT 3.6 25 0.4 2.45605 6.829933333333334
162 16 3 1 49288 TT 3.6 25 0.4 9.8242 6.829933333333334
163 16 3 1 49288 TT 3.6 25 0.4 39.2968 6.829933333333334
164 64 1 4 56307 FF 5.0 25 0.0125 2.45605 19.206566666666667
165 64 1 4 56307 FF 5.0 25 0.0125 9.8242 19.206566666666667
166 64 1 4 56307 FF 5.0 25 0.0125 39.2968 19.206566666666667
167 64 1 4 56307 FF 5.0 25 0.05 2.45605 19.206566666666667
168 64 1 4 56307 FF 5.0 25 0.05 9.8242 19.206566666666667
169 64 1 4 56307 FF 5.0 25 0.05 39.2968 19.206566666666667
170 64 1 4 56307 FF 5.0 25 0.4 2.45605 19.206566666666667
171 64 1 4 56307 FF 5.0 25 0.4 9.8242 19.206566666666667
172 64 1 4 56307 FF 5.0 25 0.4 39.2968 19.206566666666667
173 64 1 4 56307 SS 5.0 25 0.0125 2.45605 18.17966666666667
174 64 1 4 56307 SS 5.0 25 0.0125 9.8242 18.17966666666667
175 64 1 4 56307 SS 5.0 25 0.0125 39.2968 18.17966666666667
176 64 1 4 56307 SS 5.0 25 0.05 2.45605 18.17966666666667
177 64 1 4 56307 SS 5.0 25 0.05 9.8242 18.17966666666667
178 64 1 4 56307 SS 5.0 25 0.05 39.2968 18.17966666666667
179 64 1 4 56307 SS 5.0 25 0.4 2.45605 18.17966666666667
180 64 1 4 56307 SS 5.0 25 0.4 9.8242 18.17966666666667
181 64 1 4 56307 SS 5.0 25 0.4 39.2968 18.17966666666667
182 64 1 4 56307 TT 3.6 25 0.0125 2.45605 6.889222222222222
183 64 1 4 56307 TT 3.6 25 0.0125 9.8242 6.889222222222222
184 64 1 4 56307 TT 3.6 25 0.0125 39.2968 6.889222222222222
185 64 1 4 56307 TT 3.6 25 0.05 2.45605 6.889222222222222
186 64 1 4 56307 TT 3.6 25 0.05 9.8242 6.889222222222222
187 64 1 4 56307 TT 3.6 25 0.05 39.2968 6.889222222222222
188 64 1 4 56307 TT 3.6 25 0.4 2.45605 6.889222222222222
189 64 1 4 56307 TT 3.6 25 0.4 9.8242 6.889222222222222
190 64 1 4 56307 TT 3.6 25 0.4 39.2968 6.889222222222222
191 32 1 2 50620 FF 5.0 25 0.0125 2.45605 18.07902222222222
192 32 1 2 50620 FF 5.0 25 0.0125 9.8242 18.07902222222222
193 32 1 2 50620 FF 5.0 25 0.0125 39.2968 18.07902222222222
194 32 1 2 50620 FF 5.0 25 0.05 2.45605 18.07902222222222
195 32 1 2 50620 FF 5.0 25 0.05 9.8242 18.07902222222222
196 32 1 2 50620 FF 5.0 25 0.05 39.2968 18.07902222222222
197 32 1 2 50620 FF 5.0 25 0.4 2.45605 18.07902222222222
198 32 1 2 50620 FF 5.0 25 0.4 9.8242 18.07902222222222
199 32 1 2 50620 FF 5.0 25 0.4 39.2968 18.07902222222222
200 32 1 2 50620 SS 5.0 25 0.0125 2.45605 17.033544444444445
201 32 1 2 50620 SS 5.0 25 0.0125 9.8242 17.033544444444445
202 32 1 2 50620 SS 5.0 25 0.0125 39.2968 17.033544444444445
203 32 1 2 50620 SS 5.0 25 0.05 2.45605 17.033544444444445
204 32 1 2 50620 SS 5.0 25 0.05 9.8242 17.033544444444445
205 32 1 2 50620 SS 5.0 25 0.05 39.2968 17.033544444444445
206 32 1 2 50620 SS 5.0 25 0.4 2.45605 17.033544444444445
207 32 1 2 50620 SS 5.0 25 0.4 9.8242 17.033544444444445
208 32 1 2 50620 SS 5.0 25 0.4 39.2968 17.033544444444445
209 32 1 2 50620 TT 3.6 25 0.0125 2.45605 6.437566666666667
210 32 1 2 50620 TT 3.6 25 0.0125 9.8242 6.437566666666667
211 32 1 2 50620 TT 3.6 25 0.0125 39.2968 6.437566666666667
212 32 1 2 50620 TT 3.6 25 0.05 2.45605 6.437566666666667
213 32 1 2 50620 TT 3.6 25 0.05 9.8242 6.437566666666667
214 32 1 2 50620 TT 3.6 25 0.05 39.2968 6.437566666666667
215 32 1 2 50620 TT 3.6 25 0.4 2.45605 6.437566666666667
216 32 1 2 50620 TT 3.6 25 0.4 9.8242 6.437566666666667
217 32 1 2 50620 TT 3.6 25 0.4 39.2968 6.437566666666667
218 16 4 1 51796 FF 5.0 25 0.0125 2.45605 21.5115
219 16 4 1 51796 FF 5.0 25 0.0125 9.8242 21.5115
220 16 4 1 51796 FF 5.0 25 0.0125 39.2968 21.5115
221 16 4 1 51796 FF 5.0 25 0.05 2.45605 21.5115
222 16 4 1 51796 FF 5.0 25 0.05 9.8242 21.5115
223 16 4 1 51796 FF 5.0 25 0.05 39.2968 21.5115
224 16 4 1 51796 FF 5.0 25 0.4 2.45605 21.5115
225 16 4 1 51796 FF 5.0 25 0.4 9.8242 21.5115
226 16 4 1 51796 FF 5.0 25 0.4 39.2968 21.5115
227 16 4 1 51796 SS 5.0 25 0.0125 2.45605 19.3902
228 16 4 1 51796 SS 5.0 25 0.0125 9.8242 19.3902
229 16 4 1 51796 SS 5.0 25 0.0125 39.2968 19.3902
230 16 4 1 51796 SS 5.0 25 0.05 2.45605 19.3902
231 16 4 1 51796 SS 5.0 25 0.05 9.8242 19.3902
232 16 4 1 51796 SS 5.0 25 0.05 39.2968 19.3902
233 16 4 1 51796 SS 5.0 25 0.4 2.45605 19.3902
234 16 4 1 51796 SS 5.0 25 0.4 9.8242 19.3902
235 16 4 1 51796 SS 5.0 25 0.4 39.2968 19.3902
236 16 4 1 51796 TT 5.0 25 0.0125 2.45605 19.861788888888885
237 16 4 1 51796 TT 5.0 25 0.0125 9.8242 19.861788888888885
238 16 4 1 51796 TT 5.0 25 0.0125 39.2968 19.861788888888885
239 16 4 1 51796 TT 5.0 25 0.05 2.45605 19.861788888888885
240 16 4 1 51796 TT 5.0 25 0.05 9.8242 19.861788888888885
241 16 4 1 51796 TT 5.0 25 0.05 39.2968 19.861788888888885
242 16 4 1 51796 TT 5.0 25 0.4 2.45605 19.861788888888885
243 16 4 1 51796 TT 5.0 25 0.4 9.8242 19.861788888888885
244 16 4 1 51796 TT 5.0 25 0.4 39.2968 19.861788888888885

View File

@ -1,244 +0,0 @@
num_words,word_size,words_per_row,area,process,voltage,temperature,slew,load,write1_power
16,2,1,46853,FF,5.0,25,0.0125,2.45605,14.552122222222222
16,2,1,46853,FF,5.0,25,0.0125,9.8242,14.552122222222222
16,2,1,46853,FF,5.0,25,0.0125,39.2968,14.552122222222222
16,2,1,46853,FF,5.0,25,0.05,2.45605,14.552122222222222
16,2,1,46853,FF,5.0,25,0.05,9.8242,14.552122222222222
16,2,1,46853,FF,5.0,25,0.05,39.2968,14.552122222222222
16,2,1,46853,FF,5.0,25,0.4,2.45605,14.552122222222222
16,2,1,46853,FF,5.0,25,0.4,9.8242,14.552122222222222
16,2,1,46853,FF,5.0,25,0.4,39.2968,14.552122222222222
16,2,1,46853,SS,5.0,25,0.0125,2.45605,13.17188888888889
16,2,1,46853,SS,5.0,25,0.0125,9.8242,13.17188888888889
16,2,1,46853,SS,5.0,25,0.0125,39.2968,13.17188888888889
16,2,1,46853,SS,5.0,25,0.05,2.45605,13.17188888888889
16,2,1,46853,SS,5.0,25,0.05,9.8242,13.17188888888889
16,2,1,46853,SS,5.0,25,0.05,39.2968,13.17188888888889
16,2,1,46853,SS,5.0,25,0.4,2.45605,13.17188888888889
16,2,1,46853,SS,5.0,25,0.4,9.8242,13.17188888888889
16,2,1,46853,SS,5.0,25,0.4,39.2968,13.17188888888889
16,2,1,46853,TT,3.6,25,0.0125,2.45605,5.0991
16,2,1,46853,TT,3.6,25,0.0125,9.8242,5.0991
16,2,1,46853,TT,3.6,25,0.0125,39.2968,5.0991
16,2,1,46853,TT,3.6,25,0.05,2.45605,5.0991
16,2,1,46853,TT,3.6,25,0.05,9.8242,5.0991
16,2,1,46853,TT,3.6,25,0.05,39.2968,5.0991
16,2,1,46853,TT,3.6,25,0.4,2.45605,5.0991
16,2,1,46853,TT,3.6,25,0.4,9.8242,5.0991
16,2,1,46853,TT,3.6,25,0.4,39.2968,5.0991
64,2,4,66821,FF,5.0,25,0.0125,2.45605,17.173877777777776
64,2,4,66821,FF,5.0,25,0.0125,9.8242,17.173877777777776
64,2,4,66821,FF,5.0,25,0.0125,39.2968,17.173877777777776
64,2,4,66821,FF,5.0,25,0.05,2.45605,17.173877777777776
64,2,4,66821,FF,5.0,25,0.05,9.8242,17.173877777777776
64,2,4,66821,FF,5.0,25,0.05,39.2968,17.173877777777776
64,2,4,66821,FF,5.0,25,0.4,2.45605,17.173877777777776
64,2,4,66821,FF,5.0,25,0.4,9.8242,17.173877777777776
64,2,4,66821,FF,5.0,25,0.4,39.2968,17.173877777777776
64,2,4,66821,SS,5.0,25,0.0125,2.45605,15.558922222222224
64,2,4,66821,SS,5.0,25,0.0125,9.8242,15.558922222222224
64,2,4,66821,SS,5.0,25,0.0125,39.2968,15.558922222222224
64,2,4,66821,SS,5.0,25,0.05,2.45605,15.558922222222224
64,2,4,66821,SS,5.0,25,0.05,9.8242,15.558922222222224
64,2,4,66821,SS,5.0,25,0.05,39.2968,15.558922222222224
64,2,4,66821,SS,5.0,25,0.4,2.45605,15.558922222222224
64,2,4,66821,SS,5.0,25,0.4,9.8242,15.558922222222224
64,2,4,66821,SS,5.0,25,0.4,39.2968,15.558922222222224
64,2,4,66821,TT,3.6,25,0.0125,2.45605,5.990855555555556
64,2,4,66821,TT,3.6,25,0.0125,9.8242,5.990855555555556
64,2,4,66821,TT,3.6,25,0.0125,39.2968,5.990855555555556
64,2,4,66821,TT,3.6,25,0.05,2.45605,5.990855555555556
64,2,4,66821,TT,3.6,25,0.05,9.8242,5.990855555555556
64,2,4,66821,TT,3.6,25,0.05,39.2968,5.990855555555556
64,2,4,66821,TT,3.6,25,0.4,2.45605,5.990855555555556
64,2,4,66821,TT,3.6,25,0.4,9.8242,5.990855555555556
64,2,4,66821,TT,3.6,25,0.4,39.2968,5.990855555555556
16,1,1,44918,FF,5.0,25,0.0125,2.45605,13.361055555555557
16,1,1,44918,FF,5.0,25,0.0125,9.8242,13.361055555555557
16,1,1,44918,FF,5.0,25,0.0125,39.2968,13.361055555555557
16,1,1,44918,FF,5.0,25,0.05,2.45605,13.361055555555557
16,1,1,44918,FF,5.0,25,0.05,9.8242,13.361055555555557
16,1,1,44918,FF,5.0,25,0.05,39.2968,13.361055555555557
16,1,1,44918,FF,5.0,25,0.4,2.45605,13.361055555555557
16,1,1,44918,FF,5.0,25,0.4,9.8242,13.361055555555557
16,1,1,44918,FF,5.0,25,0.4,39.2968,13.361055555555557
16,1,1,44918,SS,5.0,25,0.0125,2.45605,12.38438888888889
16,1,1,44918,SS,5.0,25,0.0125,9.8242,12.38438888888889
16,1,1,44918,SS,5.0,25,0.0125,39.2968,12.38438888888889
16,1,1,44918,SS,5.0,25,0.05,2.45605,12.38438888888889
16,1,1,44918,SS,5.0,25,0.05,9.8242,12.38438888888889
16,1,1,44918,SS,5.0,25,0.05,39.2968,12.38438888888889
16,1,1,44918,SS,5.0,25,0.4,2.45605,12.38438888888889
16,1,1,44918,SS,5.0,25,0.4,9.8242,12.38438888888889
16,1,1,44918,SS,5.0,25,0.4,39.2968,12.38438888888889
16,1,1,44918,TT,3.6,25,0.0125,2.45605,4.642466666666667
16,1,1,44918,TT,3.6,25,0.0125,9.8242,4.642466666666667
16,1,1,44918,TT,3.6,25,0.0125,39.2968,4.642466666666667
16,1,1,44918,TT,3.6,25,0.05,2.45605,4.642466666666667
16,1,1,44918,TT,3.6,25,0.05,9.8242,4.642466666666667
16,1,1,44918,TT,3.6,25,0.05,39.2968,4.642466666666667
16,1,1,44918,TT,3.6,25,0.4,2.45605,4.642466666666667
16,1,1,44918,TT,3.6,25,0.4,9.8242,4.642466666666667
16,1,1,44918,TT,3.6,25,0.4,39.2968,4.642466666666667
32,3,2,61533,FF,5.0,25,0.0125,2.45605,17.334066666666665
32,3,2,61533,FF,5.0,25,0.0125,9.8242,17.334066666666665
32,3,2,61533,FF,5.0,25,0.0125,39.2968,17.334066666666665
32,3,2,61533,FF,5.0,25,0.05,2.45605,17.334066666666665
32,3,2,61533,FF,5.0,25,0.05,9.8242,17.334066666666665
32,3,2,61533,FF,5.0,25,0.05,39.2968,17.334066666666665
32,3,2,61533,FF,5.0,25,0.4,2.45605,17.334066666666665
32,3,2,61533,FF,5.0,25,0.4,9.8242,17.334066666666665
32,3,2,61533,FF,5.0,25,0.4,39.2968,17.334066666666665
32,3,2,61533,SS,5.0,25,0.0125,2.45605,15.700577777777776
32,3,2,61533,SS,5.0,25,0.0125,9.8242,15.700577777777776
32,3,2,61533,SS,5.0,25,0.0125,39.2968,15.700577777777776
32,3,2,61533,SS,5.0,25,0.05,2.45605,15.700577777777776
32,3,2,61533,SS,5.0,25,0.05,9.8242,15.700577777777776
32,3,2,61533,SS,5.0,25,0.05,39.2968,15.700577777777776
32,3,2,61533,SS,5.0,25,0.4,2.45605,15.700577777777776
32,3,2,61533,SS,5.0,25,0.4,9.8242,15.700577777777776
32,3,2,61533,SS,5.0,25,0.4,39.2968,15.700577777777776
32,3,2,61533,TT,3.6,25,0.0125,2.45605,5.999477777777778
32,3,2,61533,TT,3.6,25,0.0125,9.8242,5.999477777777778
32,3,2,61533,TT,3.6,25,0.0125,39.2968,5.999477777777778
32,3,2,61533,TT,3.6,25,0.05,2.45605,5.999477777777778
32,3,2,61533,TT,3.6,25,0.05,9.8242,5.999477777777778
32,3,2,61533,TT,3.6,25,0.05,39.2968,5.999477777777778
32,3,2,61533,TT,3.6,25,0.4,2.45605,5.999477777777778
32,3,2,61533,TT,3.6,25,0.4,9.8242,5.999477777777778
32,3,2,61533,TT,3.6,25,0.4,39.2968,5.999477777777778
32,2,2,55960,FF,5.0,25,0.0125,2.45605,15.736833333333331
32,2,2,55960,FF,5.0,25,0.0125,9.8242,15.736833333333331
32,2,2,55960,FF,5.0,25,0.0125,39.2968,15.736833333333331
32,2,2,55960,FF,5.0,25,0.05,2.45605,15.736833333333331
32,2,2,55960,FF,5.0,25,0.05,9.8242,15.736833333333331
32,2,2,55960,FF,5.0,25,0.05,39.2968,15.736833333333331
32,2,2,55960,FF,5.0,25,0.4,2.45605,15.736833333333331
32,2,2,55960,FF,5.0,25,0.4,9.8242,15.736833333333331
32,2,2,55960,FF,5.0,25,0.4,39.2968,15.736833333333331
32,2,2,55960,SS,5.0,25,0.0125,2.45605,14.229766666666668
32,2,2,55960,SS,5.0,25,0.0125,9.8242,14.229766666666668
32,2,2,55960,SS,5.0,25,0.0125,39.2968,14.229766666666668
32,2,2,55960,SS,5.0,25,0.05,2.45605,14.229766666666668
32,2,2,55960,SS,5.0,25,0.05,9.8242,14.229766666666668
32,2,2,55960,SS,5.0,25,0.05,39.2968,14.229766666666668
32,2,2,55960,SS,5.0,25,0.4,2.45605,14.229766666666668
32,2,2,55960,SS,5.0,25,0.4,9.8242,14.229766666666668
32,2,2,55960,SS,5.0,25,0.4,39.2968,14.229766666666668
32,2,2,55960,TT,3.6,25,0.0125,2.45605,5.425977777777778
32,2,2,55960,TT,3.6,25,0.0125,9.8242,5.425977777777778
32,2,2,55960,TT,3.6,25,0.0125,39.2968,5.425977777777778
32,2,2,55960,TT,3.6,25,0.05,2.45605,5.425977777777778
32,2,2,55960,TT,3.6,25,0.05,9.8242,5.425977777777778
32,2,2,55960,TT,3.6,25,0.05,39.2968,5.425977777777778
32,2,2,55960,TT,3.6,25,0.4,2.45605,5.425977777777778
32,2,2,55960,TT,3.6,25,0.4,9.8242,5.425977777777778
32,2,2,55960,TT,3.6,25,0.4,39.2968,5.425977777777778
16,3,1,49288,FF,5.0,25,0.0125,2.45605,15.804955555555559
16,3,1,49288,FF,5.0,25,0.0125,9.8242,15.804955555555559
16,3,1,49288,FF,5.0,25,0.0125,39.2968,15.804955555555559
16,3,1,49288,FF,5.0,25,0.05,2.45605,15.804955555555559
16,3,1,49288,FF,5.0,25,0.05,9.8242,15.804955555555559
16,3,1,49288,FF,5.0,25,0.05,39.2968,15.804955555555559
16,3,1,49288,FF,5.0,25,0.4,2.45605,15.804955555555559
16,3,1,49288,FF,5.0,25,0.4,9.8242,15.804955555555559
16,3,1,49288,FF,5.0,25,0.4,39.2968,15.804955555555559
16,3,1,49288,SS,5.0,25,0.0125,2.45605,14.276855555555557
16,3,1,49288,SS,5.0,25,0.0125,9.8242,14.276855555555557
16,3,1,49288,SS,5.0,25,0.0125,39.2968,14.276855555555557
16,3,1,49288,SS,5.0,25,0.05,2.45605,14.276855555555557
16,3,1,49288,SS,5.0,25,0.05,9.8242,14.276855555555557
16,3,1,49288,SS,5.0,25,0.05,39.2968,14.276855555555557
16,3,1,49288,SS,5.0,25,0.4,2.45605,14.276855555555557
16,3,1,49288,SS,5.0,25,0.4,9.8242,14.276855555555557
16,3,1,49288,SS,5.0,25,0.4,39.2968,14.276855555555557
16,3,1,49288,TT,3.6,25,0.0125,2.45605,5.408322222222222
16,3,1,49288,TT,3.6,25,0.0125,9.8242,5.408322222222222
16,3,1,49288,TT,3.6,25,0.0125,39.2968,5.408322222222222
16,3,1,49288,TT,3.6,25,0.05,2.45605,5.408322222222222
16,3,1,49288,TT,3.6,25,0.05,9.8242,5.408322222222222
16,3,1,49288,TT,3.6,25,0.05,39.2968,5.408322222222222
16,3,1,49288,TT,3.6,25,0.4,2.45605,5.408322222222222
16,3,1,49288,TT,3.6,25,0.4,9.8242,5.408322222222222
16,3,1,49288,TT,3.6,25,0.4,39.2968,5.408322222222222
64,1,4,56307,FF,5.0,25,0.0125,2.45605,15.151033333333336
64,1,4,56307,FF,5.0,25,0.0125,9.8242,15.151033333333336
64,1,4,56307,FF,5.0,25,0.0125,39.2968,15.151033333333336
64,1,4,56307,FF,5.0,25,0.05,2.45605,15.151033333333336
64,1,4,56307,FF,5.0,25,0.05,9.8242,15.151033333333336
64,1,4,56307,FF,5.0,25,0.05,39.2968,15.151033333333336
64,1,4,56307,FF,5.0,25,0.4,2.45605,15.151033333333336
64,1,4,56307,FF,5.0,25,0.4,9.8242,15.151033333333336
64,1,4,56307,FF,5.0,25,0.4,39.2968,15.151033333333336
64,1,4,56307,SS,5.0,25,0.0125,2.45605,14.15878888888889
64,1,4,56307,SS,5.0,25,0.0125,9.8242,14.15878888888889
64,1,4,56307,SS,5.0,25,0.0125,39.2968,14.15878888888889
64,1,4,56307,SS,5.0,25,0.05,2.45605,14.15878888888889
64,1,4,56307,SS,5.0,25,0.05,9.8242,14.15878888888889
64,1,4,56307,SS,5.0,25,0.05,39.2968,14.15878888888889
64,1,4,56307,SS,5.0,25,0.4,2.45605,14.15878888888889
64,1,4,56307,SS,5.0,25,0.4,9.8242,14.15878888888889
64,1,4,56307,SS,5.0,25,0.4,39.2968,14.15878888888889
64,1,4,56307,TT,3.6,25,0.0125,2.45605,5.381711111111112
64,1,4,56307,TT,3.6,25,0.0125,9.8242,5.381711111111112
64,1,4,56307,TT,3.6,25,0.0125,39.2968,5.381711111111112
64,1,4,56307,TT,3.6,25,0.05,2.45605,5.381711111111112
64,1,4,56307,TT,3.6,25,0.05,9.8242,5.381711111111112
64,1,4,56307,TT,3.6,25,0.05,39.2968,5.381711111111112
64,1,4,56307,TT,3.6,25,0.4,2.45605,5.381711111111112
64,1,4,56307,TT,3.6,25,0.4,9.8242,5.381711111111112
64,1,4,56307,TT,3.6,25,0.4,39.2968,5.381711111111112
32,1,2,50620,FF,5.0,25,0.0125,2.45605,14.238744444444443
32,1,2,50620,FF,5.0,25,0.0125,9.8242,14.238744444444443
32,1,2,50620,FF,5.0,25,0.0125,39.2968,14.238744444444443
32,1,2,50620,FF,5.0,25,0.05,2.45605,14.238744444444443
32,1,2,50620,FF,5.0,25,0.05,9.8242,14.238744444444443
32,1,2,50620,FF,5.0,25,0.05,39.2968,14.238744444444443
32,1,2,50620,FF,5.0,25,0.4,2.45605,14.238744444444443
32,1,2,50620,FF,5.0,25,0.4,9.8242,14.238744444444443
32,1,2,50620,FF,5.0,25,0.4,39.2968,14.238744444444443
32,1,2,50620,SS,5.0,25,0.0125,2.45605,13.271822222222221
32,1,2,50620,SS,5.0,25,0.0125,9.8242,13.271822222222221
32,1,2,50620,SS,5.0,25,0.0125,39.2968,13.271822222222221
32,1,2,50620,SS,5.0,25,0.05,2.45605,13.271822222222221
32,1,2,50620,SS,5.0,25,0.05,9.8242,13.271822222222221
32,1,2,50620,SS,5.0,25,0.05,39.2968,13.271822222222221
32,1,2,50620,SS,5.0,25,0.4,2.45605,13.271822222222221
32,1,2,50620,SS,5.0,25,0.4,9.8242,13.271822222222221
32,1,2,50620,SS,5.0,25,0.4,39.2968,13.271822222222221
32,1,2,50620,TT,3.6,25,0.0125,2.45605,5.0185666666666675
32,1,2,50620,TT,3.6,25,0.0125,9.8242,5.0185666666666675
32,1,2,50620,TT,3.6,25,0.0125,39.2968,5.0185666666666675
32,1,2,50620,TT,3.6,25,0.05,2.45605,5.0185666666666675
32,1,2,50620,TT,3.6,25,0.05,9.8242,5.0185666666666675
32,1,2,50620,TT,3.6,25,0.05,39.2968,5.0185666666666675
32,1,2,50620,TT,3.6,25,0.4,2.45605,5.0185666666666675
32,1,2,50620,TT,3.6,25,0.4,9.8242,5.0185666666666675
32,1,2,50620,TT,3.6,25,0.4,39.2968,5.0185666666666675
16,4,1,51796,FF,5.0,25,0.0125,2.45605,17.082644444444444
16,4,1,51796,FF,5.0,25,0.0125,9.8242,17.082644444444444
16,4,1,51796,FF,5.0,25,0.0125,39.2968,17.082644444444444
16,4,1,51796,FF,5.0,25,0.05,2.45605,17.082644444444444
16,4,1,51796,FF,5.0,25,0.05,9.8242,17.082644444444444
16,4,1,51796,FF,5.0,25,0.05,39.2968,17.082644444444444
16,4,1,51796,FF,5.0,25,0.4,2.45605,17.082644444444444
16,4,1,51796,FF,5.0,25,0.4,9.8242,17.082644444444444
16,4,1,51796,FF,5.0,25,0.4,39.2968,17.082644444444444
16,4,1,51796,SS,5.0,25,0.0125,2.45605,15.400877777777778
16,4,1,51796,SS,5.0,25,0.0125,9.8242,15.400877777777778
16,4,1,51796,SS,5.0,25,0.0125,39.2968,15.400877777777778
16,4,1,51796,SS,5.0,25,0.05,2.45605,15.400877777777778
16,4,1,51796,SS,5.0,25,0.05,9.8242,15.400877777777778
16,4,1,51796,SS,5.0,25,0.05,39.2968,15.400877777777778
16,4,1,51796,SS,5.0,25,0.4,2.45605,15.400877777777778
16,4,1,51796,SS,5.0,25,0.4,9.8242,15.400877777777778
16,4,1,51796,SS,5.0,25,0.4,39.2968,15.400877777777778
16,4,1,51796,TT,5.0,25,0.0125,2.45605,15.886588888888888
16,4,1,51796,TT,5.0,25,0.0125,9.8242,15.886588888888888
16,4,1,51796,TT,5.0,25,0.0125,39.2968,15.886588888888888
16,4,1,51796,TT,5.0,25,0.05,2.45605,15.886588888888888
16,4,1,51796,TT,5.0,25,0.05,9.8242,15.886588888888888
16,4,1,51796,TT,5.0,25,0.05,39.2968,15.886588888888888
16,4,1,51796,TT,5.0,25,0.4,2.45605,15.886588888888888
16,4,1,51796,TT,5.0,25,0.4,9.8242,15.886588888888888
16,4,1,51796,TT,5.0,25,0.4,39.2968,15.886588888888888
1 num_words word_size words_per_row area process voltage temperature slew load write1_power
2 16 2 1 46853 FF 5.0 25 0.0125 2.45605 14.552122222222222
3 16 2 1 46853 FF 5.0 25 0.0125 9.8242 14.552122222222222
4 16 2 1 46853 FF 5.0 25 0.0125 39.2968 14.552122222222222
5 16 2 1 46853 FF 5.0 25 0.05 2.45605 14.552122222222222
6 16 2 1 46853 FF 5.0 25 0.05 9.8242 14.552122222222222
7 16 2 1 46853 FF 5.0 25 0.05 39.2968 14.552122222222222
8 16 2 1 46853 FF 5.0 25 0.4 2.45605 14.552122222222222
9 16 2 1 46853 FF 5.0 25 0.4 9.8242 14.552122222222222
10 16 2 1 46853 FF 5.0 25 0.4 39.2968 14.552122222222222
11 16 2 1 46853 SS 5.0 25 0.0125 2.45605 13.17188888888889
12 16 2 1 46853 SS 5.0 25 0.0125 9.8242 13.17188888888889
13 16 2 1 46853 SS 5.0 25 0.0125 39.2968 13.17188888888889
14 16 2 1 46853 SS 5.0 25 0.05 2.45605 13.17188888888889
15 16 2 1 46853 SS 5.0 25 0.05 9.8242 13.17188888888889
16 16 2 1 46853 SS 5.0 25 0.05 39.2968 13.17188888888889
17 16 2 1 46853 SS 5.0 25 0.4 2.45605 13.17188888888889
18 16 2 1 46853 SS 5.0 25 0.4 9.8242 13.17188888888889
19 16 2 1 46853 SS 5.0 25 0.4 39.2968 13.17188888888889
20 16 2 1 46853 TT 3.6 25 0.0125 2.45605 5.0991
21 16 2 1 46853 TT 3.6 25 0.0125 9.8242 5.0991
22 16 2 1 46853 TT 3.6 25 0.0125 39.2968 5.0991
23 16 2 1 46853 TT 3.6 25 0.05 2.45605 5.0991
24 16 2 1 46853 TT 3.6 25 0.05 9.8242 5.0991
25 16 2 1 46853 TT 3.6 25 0.05 39.2968 5.0991
26 16 2 1 46853 TT 3.6 25 0.4 2.45605 5.0991
27 16 2 1 46853 TT 3.6 25 0.4 9.8242 5.0991
28 16 2 1 46853 TT 3.6 25 0.4 39.2968 5.0991
29 64 2 4 66821 FF 5.0 25 0.0125 2.45605 17.173877777777776
30 64 2 4 66821 FF 5.0 25 0.0125 9.8242 17.173877777777776
31 64 2 4 66821 FF 5.0 25 0.0125 39.2968 17.173877777777776
32 64 2 4 66821 FF 5.0 25 0.05 2.45605 17.173877777777776
33 64 2 4 66821 FF 5.0 25 0.05 9.8242 17.173877777777776
34 64 2 4 66821 FF 5.0 25 0.05 39.2968 17.173877777777776
35 64 2 4 66821 FF 5.0 25 0.4 2.45605 17.173877777777776
36 64 2 4 66821 FF 5.0 25 0.4 9.8242 17.173877777777776
37 64 2 4 66821 FF 5.0 25 0.4 39.2968 17.173877777777776
38 64 2 4 66821 SS 5.0 25 0.0125 2.45605 15.558922222222224
39 64 2 4 66821 SS 5.0 25 0.0125 9.8242 15.558922222222224
40 64 2 4 66821 SS 5.0 25 0.0125 39.2968 15.558922222222224
41 64 2 4 66821 SS 5.0 25 0.05 2.45605 15.558922222222224
42 64 2 4 66821 SS 5.0 25 0.05 9.8242 15.558922222222224
43 64 2 4 66821 SS 5.0 25 0.05 39.2968 15.558922222222224
44 64 2 4 66821 SS 5.0 25 0.4 2.45605 15.558922222222224
45 64 2 4 66821 SS 5.0 25 0.4 9.8242 15.558922222222224
46 64 2 4 66821 SS 5.0 25 0.4 39.2968 15.558922222222224
47 64 2 4 66821 TT 3.6 25 0.0125 2.45605 5.990855555555556
48 64 2 4 66821 TT 3.6 25 0.0125 9.8242 5.990855555555556
49 64 2 4 66821 TT 3.6 25 0.0125 39.2968 5.990855555555556
50 64 2 4 66821 TT 3.6 25 0.05 2.45605 5.990855555555556
51 64 2 4 66821 TT 3.6 25 0.05 9.8242 5.990855555555556
52 64 2 4 66821 TT 3.6 25 0.05 39.2968 5.990855555555556
53 64 2 4 66821 TT 3.6 25 0.4 2.45605 5.990855555555556
54 64 2 4 66821 TT 3.6 25 0.4 9.8242 5.990855555555556
55 64 2 4 66821 TT 3.6 25 0.4 39.2968 5.990855555555556
56 16 1 1 44918 FF 5.0 25 0.0125 2.45605 13.361055555555557
57 16 1 1 44918 FF 5.0 25 0.0125 9.8242 13.361055555555557
58 16 1 1 44918 FF 5.0 25 0.0125 39.2968 13.361055555555557
59 16 1 1 44918 FF 5.0 25 0.05 2.45605 13.361055555555557
60 16 1 1 44918 FF 5.0 25 0.05 9.8242 13.361055555555557
61 16 1 1 44918 FF 5.0 25 0.05 39.2968 13.361055555555557
62 16 1 1 44918 FF 5.0 25 0.4 2.45605 13.361055555555557
63 16 1 1 44918 FF 5.0 25 0.4 9.8242 13.361055555555557
64 16 1 1 44918 FF 5.0 25 0.4 39.2968 13.361055555555557
65 16 1 1 44918 SS 5.0 25 0.0125 2.45605 12.38438888888889
66 16 1 1 44918 SS 5.0 25 0.0125 9.8242 12.38438888888889
67 16 1 1 44918 SS 5.0 25 0.0125 39.2968 12.38438888888889
68 16 1 1 44918 SS 5.0 25 0.05 2.45605 12.38438888888889
69 16 1 1 44918 SS 5.0 25 0.05 9.8242 12.38438888888889
70 16 1 1 44918 SS 5.0 25 0.05 39.2968 12.38438888888889
71 16 1 1 44918 SS 5.0 25 0.4 2.45605 12.38438888888889
72 16 1 1 44918 SS 5.0 25 0.4 9.8242 12.38438888888889
73 16 1 1 44918 SS 5.0 25 0.4 39.2968 12.38438888888889
74 16 1 1 44918 TT 3.6 25 0.0125 2.45605 4.642466666666667
75 16 1 1 44918 TT 3.6 25 0.0125 9.8242 4.642466666666667
76 16 1 1 44918 TT 3.6 25 0.0125 39.2968 4.642466666666667
77 16 1 1 44918 TT 3.6 25 0.05 2.45605 4.642466666666667
78 16 1 1 44918 TT 3.6 25 0.05 9.8242 4.642466666666667
79 16 1 1 44918 TT 3.6 25 0.05 39.2968 4.642466666666667
80 16 1 1 44918 TT 3.6 25 0.4 2.45605 4.642466666666667
81 16 1 1 44918 TT 3.6 25 0.4 9.8242 4.642466666666667
82 16 1 1 44918 TT 3.6 25 0.4 39.2968 4.642466666666667
83 32 3 2 61533 FF 5.0 25 0.0125 2.45605 17.334066666666665
84 32 3 2 61533 FF 5.0 25 0.0125 9.8242 17.334066666666665
85 32 3 2 61533 FF 5.0 25 0.0125 39.2968 17.334066666666665
86 32 3 2 61533 FF 5.0 25 0.05 2.45605 17.334066666666665
87 32 3 2 61533 FF 5.0 25 0.05 9.8242 17.334066666666665
88 32 3 2 61533 FF 5.0 25 0.05 39.2968 17.334066666666665
89 32 3 2 61533 FF 5.0 25 0.4 2.45605 17.334066666666665
90 32 3 2 61533 FF 5.0 25 0.4 9.8242 17.334066666666665
91 32 3 2 61533 FF 5.0 25 0.4 39.2968 17.334066666666665
92 32 3 2 61533 SS 5.0 25 0.0125 2.45605 15.700577777777776
93 32 3 2 61533 SS 5.0 25 0.0125 9.8242 15.700577777777776
94 32 3 2 61533 SS 5.0 25 0.0125 39.2968 15.700577777777776
95 32 3 2 61533 SS 5.0 25 0.05 2.45605 15.700577777777776
96 32 3 2 61533 SS 5.0 25 0.05 9.8242 15.700577777777776
97 32 3 2 61533 SS 5.0 25 0.05 39.2968 15.700577777777776
98 32 3 2 61533 SS 5.0 25 0.4 2.45605 15.700577777777776
99 32 3 2 61533 SS 5.0 25 0.4 9.8242 15.700577777777776
100 32 3 2 61533 SS 5.0 25 0.4 39.2968 15.700577777777776
101 32 3 2 61533 TT 3.6 25 0.0125 2.45605 5.999477777777778
102 32 3 2 61533 TT 3.6 25 0.0125 9.8242 5.999477777777778
103 32 3 2 61533 TT 3.6 25 0.0125 39.2968 5.999477777777778
104 32 3 2 61533 TT 3.6 25 0.05 2.45605 5.999477777777778
105 32 3 2 61533 TT 3.6 25 0.05 9.8242 5.999477777777778
106 32 3 2 61533 TT 3.6 25 0.05 39.2968 5.999477777777778
107 32 3 2 61533 TT 3.6 25 0.4 2.45605 5.999477777777778
108 32 3 2 61533 TT 3.6 25 0.4 9.8242 5.999477777777778
109 32 3 2 61533 TT 3.6 25 0.4 39.2968 5.999477777777778
110 32 2 2 55960 FF 5.0 25 0.0125 2.45605 15.736833333333331
111 32 2 2 55960 FF 5.0 25 0.0125 9.8242 15.736833333333331
112 32 2 2 55960 FF 5.0 25 0.0125 39.2968 15.736833333333331
113 32 2 2 55960 FF 5.0 25 0.05 2.45605 15.736833333333331
114 32 2 2 55960 FF 5.0 25 0.05 9.8242 15.736833333333331
115 32 2 2 55960 FF 5.0 25 0.05 39.2968 15.736833333333331
116 32 2 2 55960 FF 5.0 25 0.4 2.45605 15.736833333333331
117 32 2 2 55960 FF 5.0 25 0.4 9.8242 15.736833333333331
118 32 2 2 55960 FF 5.0 25 0.4 39.2968 15.736833333333331
119 32 2 2 55960 SS 5.0 25 0.0125 2.45605 14.229766666666668
120 32 2 2 55960 SS 5.0 25 0.0125 9.8242 14.229766666666668
121 32 2 2 55960 SS 5.0 25 0.0125 39.2968 14.229766666666668
122 32 2 2 55960 SS 5.0 25 0.05 2.45605 14.229766666666668
123 32 2 2 55960 SS 5.0 25 0.05 9.8242 14.229766666666668
124 32 2 2 55960 SS 5.0 25 0.05 39.2968 14.229766666666668
125 32 2 2 55960 SS 5.0 25 0.4 2.45605 14.229766666666668
126 32 2 2 55960 SS 5.0 25 0.4 9.8242 14.229766666666668
127 32 2 2 55960 SS 5.0 25 0.4 39.2968 14.229766666666668
128 32 2 2 55960 TT 3.6 25 0.0125 2.45605 5.425977777777778
129 32 2 2 55960 TT 3.6 25 0.0125 9.8242 5.425977777777778
130 32 2 2 55960 TT 3.6 25 0.0125 39.2968 5.425977777777778
131 32 2 2 55960 TT 3.6 25 0.05 2.45605 5.425977777777778
132 32 2 2 55960 TT 3.6 25 0.05 9.8242 5.425977777777778
133 32 2 2 55960 TT 3.6 25 0.05 39.2968 5.425977777777778
134 32 2 2 55960 TT 3.6 25 0.4 2.45605 5.425977777777778
135 32 2 2 55960 TT 3.6 25 0.4 9.8242 5.425977777777778
136 32 2 2 55960 TT 3.6 25 0.4 39.2968 5.425977777777778
137 16 3 1 49288 FF 5.0 25 0.0125 2.45605 15.804955555555559
138 16 3 1 49288 FF 5.0 25 0.0125 9.8242 15.804955555555559
139 16 3 1 49288 FF 5.0 25 0.0125 39.2968 15.804955555555559
140 16 3 1 49288 FF 5.0 25 0.05 2.45605 15.804955555555559
141 16 3 1 49288 FF 5.0 25 0.05 9.8242 15.804955555555559
142 16 3 1 49288 FF 5.0 25 0.05 39.2968 15.804955555555559
143 16 3 1 49288 FF 5.0 25 0.4 2.45605 15.804955555555559
144 16 3 1 49288 FF 5.0 25 0.4 9.8242 15.804955555555559
145 16 3 1 49288 FF 5.0 25 0.4 39.2968 15.804955555555559
146 16 3 1 49288 SS 5.0 25 0.0125 2.45605 14.276855555555557
147 16 3 1 49288 SS 5.0 25 0.0125 9.8242 14.276855555555557
148 16 3 1 49288 SS 5.0 25 0.0125 39.2968 14.276855555555557
149 16 3 1 49288 SS 5.0 25 0.05 2.45605 14.276855555555557
150 16 3 1 49288 SS 5.0 25 0.05 9.8242 14.276855555555557
151 16 3 1 49288 SS 5.0 25 0.05 39.2968 14.276855555555557
152 16 3 1 49288 SS 5.0 25 0.4 2.45605 14.276855555555557
153 16 3 1 49288 SS 5.0 25 0.4 9.8242 14.276855555555557
154 16 3 1 49288 SS 5.0 25 0.4 39.2968 14.276855555555557
155 16 3 1 49288 TT 3.6 25 0.0125 2.45605 5.408322222222222
156 16 3 1 49288 TT 3.6 25 0.0125 9.8242 5.408322222222222
157 16 3 1 49288 TT 3.6 25 0.0125 39.2968 5.408322222222222
158 16 3 1 49288 TT 3.6 25 0.05 2.45605 5.408322222222222
159 16 3 1 49288 TT 3.6 25 0.05 9.8242 5.408322222222222
160 16 3 1 49288 TT 3.6 25 0.05 39.2968 5.408322222222222
161 16 3 1 49288 TT 3.6 25 0.4 2.45605 5.408322222222222
162 16 3 1 49288 TT 3.6 25 0.4 9.8242 5.408322222222222
163 16 3 1 49288 TT 3.6 25 0.4 39.2968 5.408322222222222
164 64 1 4 56307 FF 5.0 25 0.0125 2.45605 15.151033333333336
165 64 1 4 56307 FF 5.0 25 0.0125 9.8242 15.151033333333336
166 64 1 4 56307 FF 5.0 25 0.0125 39.2968 15.151033333333336
167 64 1 4 56307 FF 5.0 25 0.05 2.45605 15.151033333333336
168 64 1 4 56307 FF 5.0 25 0.05 9.8242 15.151033333333336
169 64 1 4 56307 FF 5.0 25 0.05 39.2968 15.151033333333336
170 64 1 4 56307 FF 5.0 25 0.4 2.45605 15.151033333333336
171 64 1 4 56307 FF 5.0 25 0.4 9.8242 15.151033333333336
172 64 1 4 56307 FF 5.0 25 0.4 39.2968 15.151033333333336
173 64 1 4 56307 SS 5.0 25 0.0125 2.45605 14.15878888888889
174 64 1 4 56307 SS 5.0 25 0.0125 9.8242 14.15878888888889
175 64 1 4 56307 SS 5.0 25 0.0125 39.2968 14.15878888888889
176 64 1 4 56307 SS 5.0 25 0.05 2.45605 14.15878888888889
177 64 1 4 56307 SS 5.0 25 0.05 9.8242 14.15878888888889
178 64 1 4 56307 SS 5.0 25 0.05 39.2968 14.15878888888889
179 64 1 4 56307 SS 5.0 25 0.4 2.45605 14.15878888888889
180 64 1 4 56307 SS 5.0 25 0.4 9.8242 14.15878888888889
181 64 1 4 56307 SS 5.0 25 0.4 39.2968 14.15878888888889
182 64 1 4 56307 TT 3.6 25 0.0125 2.45605 5.381711111111112
183 64 1 4 56307 TT 3.6 25 0.0125 9.8242 5.381711111111112
184 64 1 4 56307 TT 3.6 25 0.0125 39.2968 5.381711111111112
185 64 1 4 56307 TT 3.6 25 0.05 2.45605 5.381711111111112
186 64 1 4 56307 TT 3.6 25 0.05 9.8242 5.381711111111112
187 64 1 4 56307 TT 3.6 25 0.05 39.2968 5.381711111111112
188 64 1 4 56307 TT 3.6 25 0.4 2.45605 5.381711111111112
189 64 1 4 56307 TT 3.6 25 0.4 9.8242 5.381711111111112
190 64 1 4 56307 TT 3.6 25 0.4 39.2968 5.381711111111112
191 32 1 2 50620 FF 5.0 25 0.0125 2.45605 14.238744444444443
192 32 1 2 50620 FF 5.0 25 0.0125 9.8242 14.238744444444443
193 32 1 2 50620 FF 5.0 25 0.0125 39.2968 14.238744444444443
194 32 1 2 50620 FF 5.0 25 0.05 2.45605 14.238744444444443
195 32 1 2 50620 FF 5.0 25 0.05 9.8242 14.238744444444443
196 32 1 2 50620 FF 5.0 25 0.05 39.2968 14.238744444444443
197 32 1 2 50620 FF 5.0 25 0.4 2.45605 14.238744444444443
198 32 1 2 50620 FF 5.0 25 0.4 9.8242 14.238744444444443
199 32 1 2 50620 FF 5.0 25 0.4 39.2968 14.238744444444443
200 32 1 2 50620 SS 5.0 25 0.0125 2.45605 13.271822222222221
201 32 1 2 50620 SS 5.0 25 0.0125 9.8242 13.271822222222221
202 32 1 2 50620 SS 5.0 25 0.0125 39.2968 13.271822222222221
203 32 1 2 50620 SS 5.0 25 0.05 2.45605 13.271822222222221
204 32 1 2 50620 SS 5.0 25 0.05 9.8242 13.271822222222221
205 32 1 2 50620 SS 5.0 25 0.05 39.2968 13.271822222222221
206 32 1 2 50620 SS 5.0 25 0.4 2.45605 13.271822222222221
207 32 1 2 50620 SS 5.0 25 0.4 9.8242 13.271822222222221
208 32 1 2 50620 SS 5.0 25 0.4 39.2968 13.271822222222221
209 32 1 2 50620 TT 3.6 25 0.0125 2.45605 5.0185666666666675
210 32 1 2 50620 TT 3.6 25 0.0125 9.8242 5.0185666666666675
211 32 1 2 50620 TT 3.6 25 0.0125 39.2968 5.0185666666666675
212 32 1 2 50620 TT 3.6 25 0.05 2.45605 5.0185666666666675
213 32 1 2 50620 TT 3.6 25 0.05 9.8242 5.0185666666666675
214 32 1 2 50620 TT 3.6 25 0.05 39.2968 5.0185666666666675
215 32 1 2 50620 TT 3.6 25 0.4 2.45605 5.0185666666666675
216 32 1 2 50620 TT 3.6 25 0.4 9.8242 5.0185666666666675
217 32 1 2 50620 TT 3.6 25 0.4 39.2968 5.0185666666666675
218 16 4 1 51796 FF 5.0 25 0.0125 2.45605 17.082644444444444
219 16 4 1 51796 FF 5.0 25 0.0125 9.8242 17.082644444444444
220 16 4 1 51796 FF 5.0 25 0.0125 39.2968 17.082644444444444
221 16 4 1 51796 FF 5.0 25 0.05 2.45605 17.082644444444444
222 16 4 1 51796 FF 5.0 25 0.05 9.8242 17.082644444444444
223 16 4 1 51796 FF 5.0 25 0.05 39.2968 17.082644444444444
224 16 4 1 51796 FF 5.0 25 0.4 2.45605 17.082644444444444
225 16 4 1 51796 FF 5.0 25 0.4 9.8242 17.082644444444444
226 16 4 1 51796 FF 5.0 25 0.4 39.2968 17.082644444444444
227 16 4 1 51796 SS 5.0 25 0.0125 2.45605 15.400877777777778
228 16 4 1 51796 SS 5.0 25 0.0125 9.8242 15.400877777777778
229 16 4 1 51796 SS 5.0 25 0.0125 39.2968 15.400877777777778
230 16 4 1 51796 SS 5.0 25 0.05 2.45605 15.400877777777778
231 16 4 1 51796 SS 5.0 25 0.05 9.8242 15.400877777777778
232 16 4 1 51796 SS 5.0 25 0.05 39.2968 15.400877777777778
233 16 4 1 51796 SS 5.0 25 0.4 2.45605 15.400877777777778
234 16 4 1 51796 SS 5.0 25 0.4 9.8242 15.400877777777778
235 16 4 1 51796 SS 5.0 25 0.4 39.2968 15.400877777777778
236 16 4 1 51796 TT 5.0 25 0.0125 2.45605 15.886588888888888
237 16 4 1 51796 TT 5.0 25 0.0125 9.8242 15.886588888888888
238 16 4 1 51796 TT 5.0 25 0.0125 39.2968 15.886588888888888
239 16 4 1 51796 TT 5.0 25 0.05 2.45605 15.886588888888888
240 16 4 1 51796 TT 5.0 25 0.05 9.8242 15.886588888888888
241 16 4 1 51796 TT 5.0 25 0.05 39.2968 15.886588888888888
242 16 4 1 51796 TT 5.0 25 0.4 2.45605 15.886588888888888
243 16 4 1 51796 TT 5.0 25 0.4 9.8242 15.886588888888888
244 16 4 1 51796 TT 5.0 25 0.4 39.2968 15.886588888888888

View File

@ -119,6 +119,8 @@ layer["m4"] = (31, 0)
layer["text"] = (63, 0) layer["text"] = (63, 0)
layer["boundary"] = (63, 0) layer["boundary"] = (63, 0)
use_purpose = {}
# Layer names for external PDKs # Layer names for external PDKs
layer_names = {} layer_names = {}
layer_names["active"] = "active" layer_names["active"] = "active"