# 3-sigma target yield
yt=YieldTargeting(
designParams, statParams, opParams,
heads, analyses, measures, variables=variables,
beta=3.0, wcSpecs=wcList,
# Comment out to use default initial point (lo+hi)/2
# initial=atDesign,
initialNominalDesign=True,
# Norms for measures with zero goal
norms={ 'area': 100e-12, 'vgs_drv': 1e-3, 'vds_drv':1e-3 },
tradeoffs=1e-6, # Tradeoff optimization weight, can be overridden in *CbdOptions
stopWhenAllSatisfied=True,
# Initial nominal optimization
initialCbdOptions={
'debug': 1, 'method': 'global', 'stepTol': 1e-5,
},
# Main optimization
cbdOptions={
'debug': 1, 'method': 'global', 'stepTol': 1e-5,
}, wcOptions={ 'debug': 0 },
debug=2, spawnerLevel=1
)
atDesign, agg, wc, anCount = yt()
print(formatParameters(atDesign))
print(wc.formatResults())
print(agg.formatResults())
print(anCount)
# Finalize cOS parallel environment
cOS.finalize()
# Go to next job
atJob += 1
# Join jobs
tid, result = cOS.Join(block=True).popitem()
print "Received", result, "from", tid
# Get status and remove it from the dictionarz of running jobs
status = running[tid]
del running[tid]
index = status['index']
# Make space for the result
if index >= len(results):
results.extend([None] * (index + 1 - len(results)))
# Store result
results[index] = result
# Check if we need to stop
if result >= stopAtResult and not stop:
stop = True
print "Spawning no more tasks"
print("Results: " + str(results))
# Finish, need to do this if MPI is used
cOS.finalize()