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 itertools
import multiprocessing as mp

def job(params):
    a = params[0]
    b = params[1]
    return a*b

def multicore():
    a = range(1000)
    b = range(2000)
    paramlist = list(itertools.product(a,b))
    print(paramlist[0])
    pool = mp.Pool(processes = 4)
    res=pool.map(job, paramlist)
    for i in res:
        print(i)

if __name__=='__main__':
    multicore()

how about this?