def main():
# build the model
p = Path(12, 4505.6)
p.stages = [nand(3, fast_fall=True),
nand(3, fast_rise=True),
nand(2, fast_fall=True),
nand(2, fast_rise=True),
inv(fast_fall=True),
inv(fast_rise=True)]
# add a side load of 1024 lambda at the last nand
p.size()
p.show()
def main(): # build the model p = Path(4, 153.02/0.022/1.4) p.stages = [inv(fast_rise=True), inv(fast_fall=True), inv(fast_rise=True), inv(fast_fall=True), inv(fast_rise=True), ] # add a side load of 1024 lambda at the last nand # p.sideloads[5] = 1024 print "path effort: %0.01f" % p.pathEffort() print "stage effort: %0.02f" % p.optimalStageEffort() p.size() p.show()
def main():
# build the model
p = Path(12, 3218)
p.stages = [nand(3, fast_fall=True),
inv(be=4, fast_rise=True),
nand(2, fast_fall=True),
inv(be=16, fast_rise=True),
nand(2, fast_fall=True),
inv(fast_rise=True)]
# add a side load of 1024 lambda at the last nand
p.sideloads[3] = 731
print "path effort: %0.01f" % p.pathEffort()
print "stage effort: %0.02f" % p.optimalStageEffort()
p.size()
p.show()
sizes = p.getSizes()
template = open('decode_6s.ckt.in').read()
out = open('decode.ckt', 'w')
out.write(template.format(**sizes))
def sae_chain():
'''
size and return a schematic with the sae chain
'''
# build the model
p = Path(4, 1576)
p.stages = [nand(2, fast_fall=True),
inv(fast_rise=True),
inv(fast_fall=True),
inv(fast_rise=True)]
# add a side load of 1024 lambda at the last nand
print "path effort: %0.01f" % p.pathEffort()
print "stage effort: %0.02f" % p.optimalStageEffort()
p.size()
p.show()
#sizes = p.getSizes()
#template = open('sae_chain.ckt.in').read()
#out = open('sae_chain.ckt', 'w')
#out.write(template.format(**sizes))
out = '''
.subckt sae_inv_chain sae wl wl_pulldown sae_b
x123 sae wl net_sae_1 {nand_pcell}
x124 net_sae_1 net_sae_2 {inv_pcell1}
x125 net_sae_2 sae_b {inv_pcell2}
x126 sae_b wl_pulldown {inv_pcell3}
.ends sae_inv_chain
'''
names = {'nand_pcell': p.stages[0].getName(),
'inv_pcell1': p.stages[1].getName(),
'inv_pcell2': p.stages[2].getName(),
'inv_pcell3': p.stages[3].getName()}
out = out.format(**names)
for i in p.stages:
out += i.instantiate()
return out
def main():
# build the model
short = Path(180, 7461)
short.stages = [inv(),
inv(),
pmos(reduction=0.3)]
short.sideload(1, 180)
short.size()
print "short inverter chain"
print "path effort: %0.01f" % short.pathEffort()
short.show()
p = Path(180, 7461)
p.stages = [inv(),
inv(),
inv(),
pmos(reduction=0.25)]
p.sideload(1, 180)
p.sideload(1, short.stages[-1].getSizeP())
# add a side load of 1024 lambda at the last nand
print ""
print "long inverter chain"
print "path effort: %0.01f" % p.pathEffort()
p.size()
p.show()
sizes = p.getSizes()
out = '''
** Library name: schem
** Cell name: write
** View name: schematic
.subckt write bl0 bl_b0 blpc_b wrdata wren0 vcell inh_bulk_n inh_bulk_p
m5 bl0 blpc_b vdd! inh_bulk_p pmos L=2 W=80
m1 bl0 blpc_b bl_b0 inh_bulk_p pmos L=2 W=80
m0 bl_b0 blpc_b vdd! inh_bulk_p pmos L=2 W=80
m4 net23 wr2 bl_b0 inh_bulk_n nmos L=2 W=90
m3 net26 wr2 bl0 inh_bulk_n nmos L=2 W=90
xu0 wrdata net18 inv_pcell_13
xu2 wrdata net23 inv_pcell_14
xu1 net18 net26 inv_pcell_14
xu3 wren0 wr1 {inv_1}
xu4 wr1 wr2 {inv_2}
xu5 wr2 wr3 {inv_3}
m6 vcell wr2 Vcc_hi Vcc_hi pmos L=2 W={pmos_1}
m7 vcell wr3 Vcc_lo Vcc_hi pmos L=2 W={pmos_2}
.ends write
** End of subcircuit definition.
** Library name: ee313
** Cell name: inv
** View name: schematic
.subckt inv_pcell_13 a y
m1 y a vdd! vdd! pmos L=2 W=8
m2 y a 0 0 nmos L=2 W=4
.ends inv_pcell_13
** End of subcircuit definition.
** Library name: ee313
** Cell name: inv
** View name: schematic
.subckt inv_pcell_14 a y
m1 y a vdd! vdd! pmos L=2 W=12
m2 y a 0 0 nmos L=2 W=24
.ends inv_pcell_14
** End of subcircuit definition.
'''
sizes = {'inv_1': p.stages[0].getName(),
'inv_2': p.stages[1].getName(),
'inv_3': p.stages[2].getName(),
'pmos_1': short.stages[-1].getSizeP(),
'pmos_2': p.stages[3].getSizeP()}
out = out.format(**sizes)
for stage in p.stages[0:3]:
out += stage.instantiate()
print out
open('../part1_sol_team_netlist/write.ckt', 'w').write(out)
