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If you want to read a detailed analysis about why is cool, head over to Saveen Reddy's blog at the MSDN.


PAOLO BASSO wrote on 2010-03-20 13:15:

First of all congratulations for the great work, I can say I am a newbie in Python world but I follow with interest this project. I tryed the release with the JIT compiler with also the parallel python module and the speed gain is sensible. I compared also the performance with psyco on 3 or 4 benchmarks and it seems that the time for the execution is usually more or less the same. Do you think there will be the possibility again for a massive speed improvement in future releases or the level of max performance is not so far? How much faster could it be in the future?



Luis wrote on 2010-03-22 20:12:

According to the Computer Language Benchmarks Game, there are three benchmarks that perform way slower in Pypy against Python 3 ( see here: ).

Those are:
1) reverse-complement
2) regex-dna
3) pidgits

I know that regex-dna performs slower because regex haven't been optimized yet, but what's the reason for the other two? Do they use regex too?

Anonymous wrote on 2010-03-24 17:02:

@Luis pidigits is about using gmpy for cpython vs longs for pypy. It's a bit apples vs oranges. That said, CPython's longs are still faster than pypy's so we definitely can improve. This are needs some love :)

Reverse complement is string benchmark and I did not look but it might be that the speed of str.translate is suboptimal.

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