# 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. # import design from tech import GDS, layer, spice, parameter from tech import cell_properties as props import utils class dff(design.design): """ Memory address flip-flop """ if not props.dff.use_custom_ports: pin_names = ["D", "Q", "clk", "vdd", "gnd"] type_list = ["INPUT", "OUTPUT", "INPUT", "POWER", "GROUND"] clk_pin = "clk" else: pin_names = props.dff.custom_port_list type_list = props.dff.custom_type_list clk_pin = props.dff.clk_pin (width, height) = utils.get_libcell_size("dff", GDS["unit"], layer["boundary"]) pin_map = utils.get_libcell_pins(pin_names, "dff", GDS["unit"]) def __init__(self, name="dff"): design.design.__init__(self, name) self.width = dff.width self.height = dff.height self.pin_map = dff.pin_map self.add_pin_types(self.type_list) def analytical_power(self, corner, load): """Returns dynamic and leakage power. Results in nW""" c_eff = self.calculate_effective_capacitance(load) freq = spice["default_event_frequency"] power_dyn = self.calc_dynamic_power(corner, c_eff, freq) power_leak = spice["dff_leakage"] total_power = self.return_power(power_dyn, power_leak) return total_power def calculate_effective_capacitance(self, load): """Computes effective capacitance. Results in fF""" from tech import parameter c_load = load c_para = spice["dff_out_cap"]#ff transition_prob = 0.5 return transition_prob*(c_load + c_para) def build_graph(self, graph, inst_name, port_nets): """Adds edges based on inputs/outputs. Overrides base class function.""" self.add_graph_edges(graph, port_nets)