OpenRAM/compiler/modules/hierarchical_predecode3x8.py

85 lines
3.2 KiB
Python

# See LICENSE for licensing information.
#
#Copyright (c) 2016-2019 Regents of the University of California and The Board
#of Regents for the Oklahoma Agricultural and Mechanical College
#(acting for and on behalf of Oklahoma State University)
#All rights reserved.
#
from tech import drc
import debug
import design
from vector import vector
from hierarchical_predecode import hierarchical_predecode
from globals import OPTS
class hierarchical_predecode3x8(hierarchical_predecode):
"""
Pre 3x8 decoder used in hierarchical_decoder.
"""
def __init__(self, name, height=None):
hierarchical_predecode.__init__(self, name, 3, height)
self.create_netlist()
if not OPTS.netlist_only:
self.create_layout()
def create_netlist(self):
self.add_pins()
self.add_modules()
self.create_input_inverters()
self.create_output_inverters()
connections=[["inbar_0", "inbar_1", "inbar_2", "Z_0", "vdd", "gnd"],
["in_0", "inbar_1", "inbar_2", "Z_1", "vdd", "gnd"],
["inbar_0", "in_1", "inbar_2", "Z_2", "vdd", "gnd"],
["in_0", "in_1", "inbar_2", "Z_3", "vdd", "gnd"],
["inbar_0", "inbar_1", "in_2", "Z_4", "vdd", "gnd"],
["in_0", "inbar_1", "in_2", "Z_5", "vdd", "gnd"],
["inbar_0", "in_1", "in_2", "Z_6", "vdd", "gnd"],
["in_0", "in_1", "in_2", "Z_7", "vdd", "gnd"]]
self.create_nand_array(connections)
def create_layout(self):
"""
The general organization is from left to right:
1) a set of M2 rails for input signals
2) a set of inverters to invert input signals
3) a set of M2 rails for the vdd, gnd, inverted inputs, inputs
4) a set of NAND gates for inversion
"""
self.setup_layout_constraints()
self.route_rails()
self.place_input_inverters()
self.place_output_inverters()
self.place_nand_array()
self.route()
self.DRC_LVS()
def get_nand_input_line_combination(self):
""" These are the decoder connections of the NAND gates to the A,B,C pins """
combination = [["Abar_0", "Abar_1", "Abar_2"],
["A_0", "Abar_1", "Abar_2"],
["Abar_0", "A_1", "Abar_2"],
["A_0", "A_1", "Abar_2"],
["Abar_0", "Abar_1", "A_2"],
["A_0", "Abar_1", "A_2"],
["Abar_0", "A_1", "A_2"],
["A_0", "A_1", "A_2"]]
return combination
def analytical_delay(self, corner, slew, load = 0.0 ):
# A -> Abar
a_t_b_delay = self.inv.analytical_delay(corner, slew=slew, load=self.nand.input_load())
# Abar -> z
b_t_z_delay = self.nand.analytical_delay(corner, slew=a_t_b_delay.slew, load=self.inv.input_load())
# Z -> out
a_t_out_delay = self.inv.analytical_delay(corner, slew=b_t_z_delay.slew, load=load)
return a_t_b_delay + b_t_z_delay + a_t_out_delay
def input_load(self):
return self.nand.input_load()