On Sat, Aug 20, 2011 at 8:15 AM, holger krekel <hol...@merlinux.eu> wrote: > On Fri, Aug 19, 2011 at 23:52 +0200, Maciej Fijalkowski wrote: >> On Fri, Aug 19, 2011 at 7:35 PM, holger krekel <hol...@merlinux.eu> wrote: >> > Congrats also from here! >> > >> > On the plus side pytest's own test suite passes all tests, even some which >> > are marked as "expected-to-fail" with cpython-2.7. On the minus side, >> > the whole test run is still 2-3 times slower compared to cpython which is >> > slightly worse than with pypy-1.5. of course there is not too much to JIT >> > but >> > still a bit of a dissappointing result. >> >> Well, yes, but also we have no good answer to this. I think the reason >> why it got slower is because we compile functions now as well (which >> takes extra time). Test suites are hard I fear :( > > Maybe worth a small note because i guess test suites are often run to test > pypy.
A small note where? > > FWIW if i run the test suite with --jit off it takes 117 seconds instead of > 72 with JIT (cpython takes about 25 seconds). So maybe one question is > why pypy-no-jit is already 4-5 times slower to begin with. I guess a lot of things come into play - pypy's interpreter is generally slower than CPython's interpreter. We can attribute this to many things, but we were so far happy with "we pay 2x for abstraction layer". Maybe it's not good enough any more and we can actually come up with a better interpreter, who knows. > > Holger > >> > >> > best, >> > holger >> > >> > On Thu, Aug 18, 2011 at 19:30 +0200, Maciej Fijalkowski wrote: >> >> ======================== >> >> PyPy 1.6 - kickass panda >> >> ======================== >> >> >> >> We're pleased to announce the 1.6 release of PyPy. This release brings a >> >> lot >> >> of bugfixes and performance improvements over 1.5, and improves support >> >> for >> >> Windows 32bit and OS X 64bit. This version fully implements Python 2.7.1 >> >> and >> >> has beta level support for loading CPython C extensions. You can >> >> download it >> >> here: >> >> >> >> http://pypy.org/download.html >> >> >> >> What is PyPy? >> >> ============= >> >> >> >> PyPy is a very compliant Python interpreter, almost a drop-in replacement >> >> for >> >> CPython 2.7.1. It's fast (`pypy 1.5 and cpython 2.6.2`_ performance >> >> comparison) >> >> due to its integrated tracing JIT compiler. >> >> >> >> This release supports x86 machines running Linux 32/64 or Mac OS X. >> >> Windows 32 >> >> is beta (it roughly works but a lot of small issues have not been fixed so >> >> far). Windows 64 is not yet supported. >> >> >> >> The main topics of this release are speed and stability: on average on >> >> our benchmark suite, PyPy 1.6 is between **20% and 30%** faster than PyPy >> >> 1.5, >> >> which was already much faster than CPython on our set of benchmarks. >> >> >> >> The speed improvements have been made possible by optimizing many of the >> >> layers which compose PyPy. In particular, we improved: the Garbage >> >> Collector, >> >> the JIT warmup time, the optimizations performed by the JIT, the quality >> >> of >> >> the generated machine code and the implementation of our Python >> >> interpreter. >> >> >> >> .. _`pypy 1.5 and cpython 2.6.2`: http://speed.pypy.org >> >> >> >> >> >> Highlights >> >> ========== >> >> >> >> * Numerous performance improvements, overall giving considerable speedups: >> >> >> >> - better GC behavior when dealing with very large objects and arrays >> >> >> >> - **fast ctypes:** now calls to ctypes functions are seen and optimized >> >> by the JIT, and they are up to 60 times faster than PyPy 1.5 and 10 >> >> times >> >> faster than CPython >> >> >> >> - improved generators(1): simple generators now are inlined into the >> >> caller >> >> loop, making performance up to 3.5 times faster than PyPy 1.5. >> >> >> >> - improved generators(2): thanks to other optimizations, even generators >> >> that are not inlined are between 10% and 20% faster than PyPy 1.5. >> >> >> >> - faster warmup time for the JIT >> >> >> >> - JIT support for single floats (e.g., for ``array('f')``) >> >> >> >> - optimized dictionaries: the internal representation of dictionaries >> >> is now >> >> dynamically selected depending on the type of stored objects, >> >> resulting in >> >> faster code and smaller memory footprint. For example, dictionaries >> >> whose >> >> keys are all strings, or all integers. Other dictionaries are also >> >> smaller >> >> due to bugfixes. >> >> >> >> * JitViewer: this is the first official release which includes the >> >> JitViewer, >> >> a web-based tool which helps you to see which parts of your Python code >> >> have >> >> been compiled by the JIT, down until the assembler. The `jitviewer`_ >> >> 0.1 has >> >> already been release and works well with PyPy 1.6. >> >> >> >> * The CPython extension module API has been improved and now supports many >> >> more extensions. For information on which one are supported, please >> >> refer to >> >> our `compatibility wiki`_. >> >> >> >> * Multibyte encoding support: this was of of the last areas in which we >> >> were >> >> still behind CPython, but now we fully support them. >> >> >> >> * Preliminary support for NumPy: this release includes a preview of a very >> >> fast NumPy module integrated with the PyPy JIT. Unfortunately, this >> >> does >> >> not mean that you can expect to take an existing NumPy program and run >> >> it on >> >> PyPy, because the module is still unfinished and supports only some of >> >> the >> >> numpy API. However, barring some details, what works should be >> >> blazingly fast :-) >> >> >> >> * Bugfixes: since the 1.5 release we fixed 53 bugs in our `bug tracker`_, >> >> not >> >> counting the numerous bugs that were found and reported through other >> >> channels than the bug tracker. >> >> >> >> Cheers, >> >> >> >> Hakan Ardo, Carl Friedrich Bolz, Laura Creighton, Antonio Cuni, >> >> Maciej Fijalkowski, Amaury Forgeot d'Arc, Alex Gaynor, >> >> Armin Rigo and the PyPy team >> >> >> >> .. _`jitviewer`: >> >> http://morepypy.blogspot.com/2011/08/visualization-of-jitted-code.html >> >> .. _`bug tracker`: https://bugs.pypy.org >> >> .. _`compatibility wiki`: >> >> https://bitbucket.org/pypy/compatibility/wiki/Home >> >> _______________________________________________ >> >> pypy-dev mailing list >> >> pypy-dev@python.org >> >> http://mail.python.org/mailman/listinfo/pypy-dev >> >> >> > >> > _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
