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Groups > comp.lang.python > #95125 > unrolled thread
| Started by | rogerh906@gmail.com |
|---|---|
| First post | 2015-08-07 07:08 -0700 |
| Last post | 2015-08-07 23:57 +0000 |
| Articles | 7 — 5 participants |
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Python speed rogerh906@gmail.com - 2015-08-07 07:08 -0700
Re: Python speed beliavsky@aol.com - 2015-08-07 09:57 -0700
Re: Python speed Laura Creighton <lac@openend.se> - 2015-08-07 19:17 +0200
Re: Python speed Christian Gollwitzer <auriocus@gmx.de> - 2015-08-07 23:26 +0200
Re: Python speed Laura Creighton <lac@openend.se> - 2015-08-08 00:01 +0200
Re: Python speed rogerh906@gmail.com - 2015-08-07 12:30 -0700
Re: Python speed Grant Edwards <invalid@invalid.invalid> - 2015-08-07 23:57 +0000
| From | rogerh906@gmail.com |
|---|---|
| Date | 2015-08-07 07:08 -0700 |
| Subject | Python speed |
| Message-ID | <2261c8c6-77ba-453d-9205-0a922fa67c81@googlegroups.com> |
Can anyone compare PyNum calculation speed to Fortran? This is for a number crunching program working with large files. Roger
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| From | beliavsky@aol.com |
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| Date | 2015-08-07 09:57 -0700 |
| Message-ID | <04b7cdd0-1eb0-4378-9d14-38e97b4456a7@googlegroups.com> |
| In reply to | #95125 |
On Friday, August 7, 2015 at 10:08:37 AM UTC-4, roge...@gmail.com wrote: > Can anyone compare PyNum calculation speed to Fortran? > > This is for a number crunching program working with large files. > > Roger Did you mean NumPy? It depends on the program. Here are two posts that compared speeds. Comparing Python, NumPy, Matlab, Fortran, etc. (2009) https://modelingguru.nasa.gov/docs/DOC-1762 Optimizing Python in the Real World: NumPy, Numba, and the NUFFT (2015) https://jakevdp.github.io/blog/2015/02/24/optimizing-python-with-numpy-and-numba/
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| From | Laura Creighton <lac@openend.se> |
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| Date | 2015-08-07 19:17 +0200 |
| Message-ID | <mailman.1312.1438967902.3674.python-list@python.org> |
| In reply to | #95131 |
In a message of Fri, 07 Aug 2015 09:57:26 -0700, beliavsky--- via Python-list w rites: >On Friday, August 7, 2015 at 10:08:37 AM UTC-4, roge...@gmail.com wrote: >> Can anyone compare PyNum calculation speed to Fortran? >> >> This is for a number crunching program working with large files. >> >> Roger And for speed you may be better off with PyPy than with NumPy http://speed.pypy.org/timeline/ but, as is always the case when measuring the speed of things, 'it all depends on what you are doing'. Do you need to link to existing Fortran or C libraries? If the answer is no, and you really only are doing crunching, and your crunching is done in loops which run for a significant amount of time -- then PyPy is generally faster than Fortran. If you are spending most of your time in matplotlib graphing your results, you will be unhappy with PyPy performance. pypy-dev@python.org is a better place to discuss performance of PyPy, though while http://mail.scipy.org/mailman/listinfo/numpy-discussion is a better place to discuss numpy. scipy.org has been down all day, alas. But the Americans should be awake now and dealing with it. Laura
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| From | Christian Gollwitzer <auriocus@gmx.de> |
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| Date | 2015-08-07 23:26 +0200 |
| Message-ID | <mq37nl$j18$1@dont-email.me> |
| In reply to | #95134 |
Am 07.08.2015 um 19:17 schrieb Laura Creighton: > you > really only are doing crunching, and your crunching is done > in loops which run for a significant amount of time -- then PyPy > is generally faster than Fortran. PyPy faster than Fortran in a tight number-crunching loop? Sorry I find this very hard to believe. I could accept that PyPy can match the speed of Fortran in these cases, but exceeding seems highly unlikely. Was it a mistake, or do you have a reference that shows how PyPy can be faster than Fortran? I agree with the rest what you have said. Christian
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| From | Laura Creighton <lac@openend.se> |
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| Date | 2015-08-08 00:01 +0200 |
| Message-ID | <mailman.1315.1438984926.3674.python-list@python.org> |
| In reply to | #95142 |
In a message of Fri, 07 Aug 2015 23:26:46 +0200, Christian Gollwitzer writes: >Am 07.08.2015 um 19:17 schrieb Laura Creighton: >> you >> really only are doing crunching, and your crunching is done >> in loops which run for a significant amount of time -- then PyPy >> is generally faster than Fortran. > >PyPy faster than Fortran in a tight number-crunching loop? Sorry I find >this very hard to believe. I could accept that PyPy can match the speed >of Fortran in these cases, but exceeding seems highly unlikely. Was it a >mistake, or do you have a reference that shows how PyPy can be faster >than Fortran? > >I agree with the rest what you have said. > > Christian My apologies -- I went and looked it up, and it seems that the person who reported this got taught how to vectorise his Fortran code and some other tricks, and now his Fortran code runs between 2.5 and 3 times faster than PyPy for his numberical benchmarks. I seem to have got the initial news, and never heard about the correction .... Thank you for bringing this up. Laura
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| From | rogerh906@gmail.com |
|---|---|
| Date | 2015-08-07 12:30 -0700 |
| Message-ID | <051b46fe-83a7-4607-8f68-ff94df9c1ff5@googlegroups.com> |
| In reply to | #95125 |
On Friday, August 7, 2015 at 8:08:37 AM UTC-6, roge...@gmail.com wrote: > Can anyone compare PyNum calculation speed to Fortran? > > This is for a number crunching program working with large files. > > Roger Thanks for answering. This will help a lot. Roger
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| From | Grant Edwards <invalid@invalid.invalid> |
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| Date | 2015-08-07 23:57 +0000 |
| Message-ID | <mq3gm2$suq$1@reader1.panix.com> |
| In reply to | #95125 |
On 2015-08-07, rogerh906@gmail.com <rogerh906@gmail.com> wrote: > Can anyone compare PyNum calculation speed to Fortran? > > This is for a number crunching program working with large files. Well I can tell you how the numerical analysis and data visualization programs _I_ use to write would compare to Fortran: The Python programs were infinitely faster than Fortran because the probability I could have gotten equivelent Fortran programs to work before the data became moot was pretty much zero. On a more serious note, almost all of the heavy lifting in the programs I wrote (array operations, curve fitting, Delaunay triangulation, etc.) was all done by libraries written in Fortan and C. So I doubt the difference between Fortran and Python would have mattered (assuming I _could_ have written equivalent programs in Fortran). -- Grant
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