numpy_bench.py

# Copyright (c) 2017, Intel Corporation
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from multiprocessing.pool import Pool
from multiprocessing.pool import ThreadPool
from concurrent.futures import ProcessPoolExecutor
from concurrent.futures import ThreadPoolExecutor
from numpy.random import random
from numpy.random import seed
from numpy import empty
import sys
import numpy

n = 1024
m = 64
data_mt = random((n, n))

def bench(n):
    seed([777])
    #data = random((n, n))
    result = numpy.linalg.eig(data_mt)
    return result[0][0].real

def bench_mt(n):
    result = numpy.linalg.eig(data_mt)
    return result[0][0].real

def main():
    np = 1

    if len(sys.argv) > 1:
        np = int(sys.argv[1])
    print("Number of processes: ", np)

    pool_type = "multiprocessing"
    if len(sys.argv) > 2:
        pool_type = sys.argv[2]
    print("Pool type: ", pool_type)

    if pool_type == "multiprocessing":
        p = Pool(np)
        result = p.map(bench, [n for i in range(m)])
        s = 0
        for val in result:
            s = s + val
        print(s)
    elif pool_type == "concurrent":
        with ProcessPoolExecutor(np) as p:
            s = 0
            for val in p.map(bench, [n for i in range(m)]):
                s = s + val
            print(s)
    elif pool_type == "threading":
        p = ThreadPool(np)
        result = p.map(bench_mt, [n for i in range(m)])
        s = 0
        for val in result:
            s = s + val
        print(s)
    else:
        print("Unsupported pool type: " + pool_type)

if __name__ == '__main__':
    main()