How to parallel sum a loop using multiprocessing in Python

Question

I am having difficulty understanding how to use Python\'s multiprocessing module.

I have a sum from 1 to n where n=10^10, whic

Answer 1

I find the usage of multiprocess.Pool and map() much more simple

Using your code:

from multiprocessing import Pool

def sum_nums(args):
    low = int(args[0])
    high = int(args[1])
    return sum(range(low,high+1))

if __name__ == "__main__":
    n = 1000 
    procs = 2 

    sizeSegment = n/procs

    # Create size segments list
    jobs = []
    for i in range(0, procs):
        jobs.append((i*sizeSegment+1, (i+1)*sizeSegment))

    pool = Pool(procs).map(sum_nums, jobs)
    result = sum(pool)

    >>> print result
    >>> 500500