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
