[pypy-dev] Pypy custom interpreter JIT question

[Alex Gaynor]

On Thu, Mar 31, 2011 at 6:00 PM, Antonio Cuni <anto.cuni at gmail.com> wrote:

> On 31/03/11 22:05, Andrew Brown wrote:
>
> > python double-interpreted: > 78m (did not finish)
> > pypy-c (with jit) double-interpreted: 41m 34.528s
>
> this is interesting. We are beating cpython by more than 2x even in a
> "worst
> case" scenario, because interpreters in theory are not a very good target
> for
> tracing JITs.
> However, it's not the first time that we experience this, so it might be
> that
> this interpreter/tracing JIT thing is just a legend :-)
>
>
Well the issue with tracing an interpreter is the large number of paths, a
brainfuck interpreter has relatively few paths compared to something like a
Python VM.




> > translated interpreter no jit: 45s
> > translated interpreter jit: 7.5s
> > translated direct to C, gcc -O0
> >   translate: 0.2s
> >   compile: 0.4s
> >   run: 18.5s
> > translated direct to C, gcc -O1
> >   translate: 0.2s
> >   compile: 0.85s
> >   run: 1.28s
> > translated direct to C, gcc -O2
> >   translate: 0.2s
> >   compile: 2.0s
> >   run: 1.34s
>
> these are cool as well. We are 3x faster than gcc -O0 and ~3x slower than
> -O1
> and -O2.  Pretty good, I'd say :-)
>
> ciao,
> anto
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>

Alex

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