So far I have narrowed it down to a block of code in solve.py doing a lot of multi-threaded FFT (i.e. with fft(..., threads=6) of pyFFTW), as well as numpy exp() and other functions and pure Python heavy list manipulation (yes, lists, not numpy arrays). All of this together (or some one part of it, yet to be discovered) is behaving as if there was some global lock taken behind the scene (i.e. inside Python interpreter), so that when multiple instances of the script (which I loosely called "threads" in previous posts, but here correct myself as the word "threads" is used more appropriately in the context of FFT in this message) are executed in parallel, they slow each other down in 3.10, but not so in 3.8.
So this is definitely a very interesting 3.10 degradation problem. I will try to investigate some more tomorrow... _______________________________________________ Python-Dev mailing list -- python-dev@python.org To unsubscribe send an email to python-dev-le...@python.org https://mail.python.org/mailman3/lists/python-dev.python.org/ Message archived at https://mail.python.org/archives/list/python-dev@python.org/message/BTXTX7VBXZTJBIJIX2KMAAOOQDE52R5K/ Code of Conduct: http://python.org/psf/codeofconduct/
