Pythonic Parallel Processing for HPC: Your Gauss is as good as mine
There are many strategies and tools for improving the performance of Python code, for a comprehensive treatment see High Performance Python by Gorelick and Ozsvald (institutional access is available to QM staff). However, there are some subtleties when using them in an HPC environment. More bluntly, requesting processor cores does not automatically mean your code will use them effectively, and that cannot happen if it doesn't know how many of them there are!