Parallel Numpy Array Fill (up to 3x faster)

You can fill a Numpy array in parallel using Python threads. Numpy will release the global interpreter lock (GIL) when calling a fill function, allowing Python threads to run in parallel and populate different sub-arrays of a large shared array. This can offer up to a 3x speed-up, depending on the number of CPU cores […]