I think I have found something very interesting. Namely, I removed all multiprocessing (which is done in the shell script, not in Python) and so reduced the program to just a single thread of execution. And lo and behold, Python 3.10 now consistently beats 3.8 by about 5%. However, this is not the END! Namely, it is very important to find out why when running multiple processes simultaneously 3.8 still outperforms 3.10. The thing is -- all these different threads write to completely unrelated data files (.npz and .npy) The only thing they all have in common is the initial data, which they all read from the same 'init.npz' and 'init_W.npy' files using:
with load(args.ifilename + '.npz', allow_pickle=True) as data: and Winit = memmap(iWfilename, dtype='float64', mode='r', shape=(Nt, Nx, Np)) So, could this be the problem? _______________________________________________ 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/SMTEEMBDUJ7ZYM6HYOOZXT6NOHJFJIYY/ Code of Conduct: http://python.org/psf/codeofconduct/
