[pypy-dev] RinohType and PyPy2
Brecht Machiels
brecht at mos6581.org
Tue Mar 11 21:49:15 CET 2014
Hello Maciej and Armin,
Glad you think this is a valuable benchmark, since I provided it mostly for selfish reasons ;)
I've done a quick test similar to Armin's, rendering the original 4-page document over and over again. While I can see the speed improving, it still doesn't reach CPython's performance.
I haven't found the time yet to try with a longer document. I'll render a book from project Gutenberg soon and report back here. Let me know if there's anything else I can do.
Bengt Richter raised an interesting question (but his message didn't seem to make it to the list):
> Is there any way that jit results could be cached to some degree, in one
> or more files, to give the next execution of a program a warmer start?
I remember seeing a similar question before. IIRC one suggestion was to spawn a daemon process. I suppose that could work for RinohType, but I'm also interested to hear if it would be possible to have PyPy save the JIT state to a file on termination.
Cheers,
Brecht
---- On Sun, 02 Mar 2014 22:15:28 +0100 Maciej Fijalkowski<fijall at gmail.com> wrote ----
> I must say I've been trying to understand what's going on and I'm
> failing so far. Thanks for a valuable benchmark! And yes, we're
> working on improving the warmup time (ETA unknown though)
---- On Sun, 02 Mar 2014 17:01:32 +0100 Armin Rigo<arigo at tunes.org> wrote ----
> On 1 March 2014 23:34, Brecht Machiels <brecht at mos6581.org> wrote:
> > While PyPy2 performs better than PyPy3, it's still much slower than CPython. Is RinohType hitting a weak spot in PyPy? Any hints on what I can do to improve performance?
>
> It's not really helpful, but the warm-up time is the first issue here.
> If I edit template.py to run it e.g. 10 times instead of only once,
> the speed grows quickly by a factor of 4. It means your code, for
> some reason, exhibits slow warm-ups (not the worst we've seen, but I
> agree it's a lot). It would be interesting to know if you have a
> similar speed-up when processing a single 10-times-larger document
> instead of 10 times the same small document :-)
>
>
> A bientôt,
>
> Armin.
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