Mailman 3 February 2015 - pypy-dev

use as benchmark pypy vs python if you please
by Dima Tisnek 13 Sep '15

13 Sep '15

Attached is n-queens solver (pardon my naive algorithm), it runs: python 2.7.6: 17s pypy 2.4.0 alpha: 23s same nojit: 32s I've tried similar-looking algorithm for another problem before, and has similar results -- somehow pypy was slower. feel free to investigate / tweak or even use on speed.pypy.org

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Poor performance for Krakatau
by Robert Grosse 10 Aug '15

10 Aug '15

In some cases, Pypy performs worse than CPython when running Krakatau, and it has gotten a lot worse from 2.3 to 2.5 My benchmark is https://github.com/Storyyeller/Krakatau/tree/pypy_benchmark (for future reference, commit d889c7f44723e6d66a3630681f0385f173317dc9) You can run it with pypy Krakatau\benchmark.py -path <path to Java rt.jar> I get the following timings CPython: 17.43s Pypy 2.3: 38.48s (build pypy-c-jit-71056-c8e3b8cbc843-win32) Pypy 2.4: 39.92s (build pypy-c-jit-72200-375133966c12-win32) Pypy 2.5: 49.94s (build pypy-c-jit-74404-9fd586fe0fe5-win32) Not only was it slower than CPython to begin with, but it got much worse recently.

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Windows: pypyw.exe?
by Yaacov Finkelman 22 May '15

22 May '15

Hi, I was wondering what the plan is for fixing: https://bitbucket.org/pypy/pypy/issue/1651/ It is just a hassle with each upgrade of pypy. I'd be happy to fix, but I don't know where to start. Best, Jacob

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fdopen(fd, 'w') whe fd is opened 'r'
by Matti Picus 11 Mar '15

11 Mar '15

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Vectorizing numpy traces
by Richard Plangger 01 Mar '15

01 Mar '15

hi, i'm currently trying to find a way to generate simd code for python loops that operate on numpy arrays. The IRC is quite busy so I think I'd rather post it as an email... I have familiarized myself with pypy and read most of the docs and read the code in the metainterp to understand how the traces are built. I translated pypy with --withmod-micronumpy enabled (installed numpy pypy fork in an virtual env) and gave the jitviewer a try. Here is a sample program that does not really make sense, but I think it would contain opportunity to generate SIMD instructions. ``` import numpy def invoke(): a = numpy.zeros(1024) b = numpy.zeros(1024) c = numpy.zeros(1024) # (2) for i in range(0,1024): c[i] = a[i] + b[i] # (3) c = a + b if __name__ == '__main__': i = 0 # (1) while i < 500: invoke() i += 1 ``` Here is the trace of invoke visible in jitviewer (uploaded to https://postimg.org/image/kbntluw55/full/). Here are some questions I have that would really help me to get going: (1) Is there a better way to get loops hot? (2) I cannot really figure out what all those trace/loop parameters are. obviously i can guess some but most of them do not really make sense to me. Am I missing some settings to be able to display more information for the trace? In addition to that I do not really see any chance to generate a simd loop for (2). Every array access is (arguably) guarded by an array index overflow and I think to skip that check would be invalid. (3) There is no trace generated for this instruction? Does this internally call a c function? (4) What in our opinion makes sense to vectorize with simd instructions? Could you provide some sample loops/code (ranging from simple to complex loops)? I would really appreciate any help and/or push into the right direction. Best, Richard

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Re: [pypy-dev] Vectorizing numpy traces
by Laura Creighton 24 Feb '15

24 Feb '15

The PyPy core developers are at a sprint in Leysin right now, and they happen to be out for dinner right now. So you, alas, are likely to need to wait. Sorry for impatience .... Laura

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freebsd 7 and 8 buildslave
by Maciej Fijalkowski 22 Feb '15

22 Feb '15

there is a freebsd 8 buildslave called "ananke" which is offline, who is the admin? Also freebsd 7 fails to compile for an idiotic reason, should we take this one down? http://buildbot.pypy.org/builders/pypy-c-jit-freebsd-7-x86-64/builds/290/st…

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Fwd: pypy memory test
by Christian Walder 17 Feb '15

17 Feb '15

Hi there, I seem to be running into a problem with freeing memory. Under OS X all is well, but under Linux there seems to be a problem in the case of linked data structures. I have attached a python program which demonstrates the problem. The output of the script for both linux and OS X are below. Thanks very much in advance, and for the amazing work on PyPy. OS X: 2.7.8 (857f34cd4254, Oct 14 2014, 22:01:17) [PyPy 2.5.0-alpha0 with GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.51)] Darwin 14.1.0 ('', '', '') initial 20 MB 0 558 MB 0 30 MB 1 558 MB 1 31 MB 2 558 MB 2 32 MB Linux: 2.7.8 (dfffd5d7cc7e, Feb 08 2015, 14:59:48) [PyPy 2.5.0 with GCC 4.8.2] Linux 3.13.0-44-generic ('debian', 'jessie/sid', '') initial 82 MB 0 626 MB 0 626 MB 1 627 MB 1 627 MB 2 627 MB 2 627 MB

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contribute in the project
by Ahmed Abdalrahman 17 Feb '15

17 Feb '15

hello , my name is Ahmed , i want to join u and i am interested in open source what ever your will join google summer of code or not i want to coding , trying to learn and help you if i can please tell me, my experience , below average in python thanks for reading

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GSoC 2015
by Rohan Goel 17 Feb '15

17 Feb '15

Dear Developers, I am Rohan Goel , Computer Science undergraduate at BITS Pilani , India and am interested in working for your organization in GSoC 2015. As I am a beginner in open source coding , it would be great help if you guide me where to start from. My primary language of interest is Python. *Thanking You,* *Rohan Goel* *Under Graduate, B.E. (Hons) Computer Science Birla Institute of Technology and Science, Pilani* *K.K Birla Goa Campus* *+91 7722047225 **| rohangoel0296(a)gmail.com <rohangoel0296(a)gmail.com>*

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pypy-dev February 2015