Intel distribution for Python benchmark

fftbench.py

import sys
import time

import numpy as np
import numpy.random as rn

def fftbench(size):
    mat = rn.rand(size, size) + 1j * rn.randn(size, size)

    start = time.time()
    # 2D transform on a complex-valued matrix:
    result = np.fft.fft2(mat)
    end = time.time()

    print(size, end - start)

if __name__ == '__main__':
    for size in sys.argv[1:]:
        fftbench(int(size))

install.sh

# basic anaconda
python fftbench.py 1 10 100 1000 5000 7000 10000 15000 > basic-anaconda

# install intel-enhanced anaconda in a new environment
conda config --add channels intel
conda create --name intelpy intelpython3_full python=3

conda activate intelpy

python fftbench.py 1 10 100 1000 5000 7000 10000 15000 > intel-anaconda

intel-anaconda-benchmarks.ipynb

This implements the benchmark from https://www.infoworld.com/article/3187484/software/how-does-a-20x-speed-up-in-python-grab-you.html