Created
January 31, 2019 12:11
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multiprocessing
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import multiprocessing as mp | |
workers = mp.cpu_count() | |
multithread = False | |
if multithread: | |
workers /= 2 | |
def submit_molecule(mol): | |
return_value = os.popen("../../run_gms "+mol).read() | |
N = len(dirs) / workers | |
Nl = len(dirs) % workers | |
def worker(id, dirs): | |
# Define work interval | |
start = N*id | |
stop = N*id + N | |
# Distribute leftover work | |
if(stop == N*workers and Nl > 0): | |
stop += Nl | |
local_dirs = dirs[start:stop] | |
for d in local_dirs: | |
print d | |
os.chdir(d) | |
for f in s22: | |
submit_molecule('s22_'+f+'_a') | |
submit_molecule('s22_'+f+'_b') | |
submit_molecule('s22_'+f+'_c') | |
for f in s66: | |
submit_molecule('s66_'+f+'_a') | |
submit_molecule('s66_'+f+'_b') | |
submit_molecule('s66_'+f+'_c') | |
os.chdir('..') | |
processes = [mp.Process(target=worker, args=(i, dirs)) for i in xrange(workers)] | |
for p in processes: p.start() # Fork | |
for p in processes: p.join() # Join | |
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