Proper way to use multiprocessor.Pool in a nested loop

Question

I am using the multiprocessor.Pool() module to speed up an \"embarrassingly parallel\" loop. I actually have a nested loop, and am using multiprocessor.Pool to speed up the

Answer 1

import time
from pathos.parallel import stats
from pathos.parallel import ParallelPool as Pool


def work(x, y):
    return x * y


pool = Pool(5)
pool.ncpus = 4
pool.servers = ('localhost:5654',)
t1 = time.time()
results = pool.imap(work, range(1, 2), range(1, 11))
print("INFO: List is: %s" % list(results))
print(stats())
t2 = time.time()
print("TIMER: Function completed time is: %.5f" % (t2 - t1))