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python multiprocessing not using 100% CPU for perfectly parallel, CPU-limited problem

I am trying to parallelize the execution of a python code that solves a numerical problem. It’s a relatively complicated code making heavy use of numpy. I want to solve the numerical problem for a large set of parameters. This should be easy to parallelize: just let different processes solve the problem for different regions of the parameter space.