Numpy Parallel Random Numbers with Multiprocessing (up to 28x slower)

You can create and populate a NumPy vector of random numbers in parallel using Python multiprocessing. Although possible, this is not recommended. Using multiprocessing to generate random numbers in parallel can offer a SLOW DOWN from 8.43x to 28.37x compared to the single-process version, depending on the approach chosen. This is a good exercise to […]