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| import multiprocessing as mp | |
| import numpy | |
| # Array size of 128MiB | |
| size = pow(512, 3) | |
| def fn(array): | |
| return numpy.sum(array) | |
| def multi_process_sum(arr): | |
| # each of 8 processes receives range of 16MiB | |
| c = int(size / 8) | |
| ranges = [(i,i + c) for i in range(0, size, c)] | |
| # create pool of 8 processes | |
| pool = mp.Pool(processes = 4) | |
| # pass each process a part of the array | |
| return int(sum(pool.map(fn, [arr[i:i + c] for i in range(0, size, c)]))) | |
| def main(): | |
| for _ in range(10): | |
| # Fill array with ones | |
| arr = numpy.ones(size) | |
| # assert sum of all ones is the size, call multiprocessing function | |
| assert(multi_process_sum(arr) == size) | |
| # zero array | |
| arr[0:size] = 0 | |
| # assert array is zeroes | |
| assert(multi_process_sum(arr) == 0) | |
| if __name__ == '__main__': | |
| main() |
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