Python multiprocessing and threading

In my experience, Python multiprocessing is more efficient, and you should use mp.Process not mp.Pool (Pool only seems to assign 4 cores, whereas Process can use all).

Process is most efficient when all cores are assigned a single Python process, which does not have to share it with others. You see that when using more Processes than there are cores on your machine (multiprocessing.cpu_count()) the speed decreases (the time to compute the same thing increases).

Pool is still a decent approach compared to sequential code (which will only use 1 core)