I have got it narrowed down to the "threads=6" argument of fft() and ifft() functions of pyFFTW! Namely, if I do NOT pass "threads=6" to fft()/iff(), then the parallel execution of multiple instances of the scripts is the same in Python 3.8 and 3.10. But it is a bit slower than with "threads=6", of course (as my "multiprocessing" on the shell script level is tied to the multiple physical problems being solved simultaneously and this number is small -- say 4, but I have 12 processors (6 physical cores) which could execute code in parallel).
So, this is where we are right now: the version pyFFTW 0.12.0 on Python 3.8 with threads=6 is 2.4 times faster than the same version 0.12.0 pyFFTW on Python 3.10, when four scripts are executed in parallel. But removing "threads=6" makes 3.10 much faster, and 3.8 a bit slower. Though not too slow -- instead of 9 vs 23 seconds I get 11.2 (Python 3.8) vs 10.8 (Python 3.10) seconds, so Python 3.10 is even a little bit faster than 3.8, but still not as fast as with threads=6 on 3.8. However, that pendulum PyQT GUI application does NOT do any Fourier transforms! So, the problem with FPS in pendulum plotting is something different. _______________________________________________ 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/LRQIELQV5R5LDDCRRL2VDTS7DKY7OLPT/ Code of Conduct: http://python.org/psf/codeofconduct/
