Le mar. 26 févr. 2019 à 17:33, INADA Naoki <[email protected]> a écrit : > My company gives me dedicated Linux machine with Core(TM) i7-6700. > So I think it's not issue of my machine.
Oh great :-) > perf shows this line caused many page fault. > https://github.com/python/cpython/blob/c606a9cbd48f69d3f4a09204c781dda9864218b7/Objects/obmalloc.c#L1513 > > This line is executed when pymalloc can't reuse existing pool and uses new > pool. > So I suspect there is some weak point about pymalloc and adding more > hysteresis > may help it. But I'm not sure yet. I'll investigate it later. You might want to try PYTHONMALLOC=malloc to force the usage of system malloc() and so disable pymalloc. You might also try jemalloc with LD_PRELOAD and PYTHONMALLOC=malloc. Not sure if it helps :-) > Ah, another interesting point, this huge slowdown happens only when > bm_pickle.py > is executed through pyperformance. When run it directly, slowdown is > not so large. pyperformance runs benchmarks in a virtual environment. I don't know if it has any impact on bm_pickle. Most pyperformance can be run outside a virtual env if required modules are installed on the system. (bm_pickle only requires the stdlib and perf.) Victor -- Night gathers, and now my watch begins. It shall not end until my death. _______________________________________________ Python-Dev mailing list [email protected] https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com