Unless I missed something (possible!) the JIT and STM are mutually exclusive (until implemented).
-- taa /*eof*/ > On Oct 30, 2013, at 14:45, "Amaury Forgeot d'Arc" <amaur...@gmail.com> wrote: > > 2013/10/30 Davide Del Vento <ddve...@ucar.edu> >> Hi Wim, >> >> Thanks for posting your numbers. I think they are interesting and the 11x >> speedup for 16 threads is not bad, however the overhead of STM is still too >> high compared to PyPy. Maybe you need also a larger dataset, besides a >> longer time? >> >> >> > I should run this multiple >> > times and average, but this is just for fun >> >> I think for this purpose you need the best timing, not the average, >> especially if you are using a desktop/laptop. The best timing is something >> that happened and therefore "can happen". The average is affected by a >> variety of other things which may be running on your machine, which are >> better left out for this purpose (it's interesting to study them in order to >> see if one can eliminate them on a production environment, but that's a >> completely different job). > > Also, the process should perform 1000 iterations before you start the timings. > The JIT needs a lot of iterations to be warm-up correctly. > > -- > Amaury Forgeot d'Arc > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > https://mail.python.org/mailman/listinfo/pypy-dev
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