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| From | Terry Reedy <tjreedy@udel.edu> |
| Subject | Re: Parallelization of Python on GPU? |
| Date | Thu, 26 Feb 2015 12:16:58 -0500 |
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On 2/26/2015 10:06 AM, Jason Swails wrote: > On Thu, 2015-02-26 at 14:02 +1100, Steven D'Aprano wrote: >> John Ladasky wrote: >> >> >>> What I would REALLY like to do is to take advantage of my GPU. >> >> I can't help you with that, but I would like to point out that GPUs >> typically don't support IEE-754 maths, which means that while they are >> likely significantly faster, they're also likely significantly less >> accurate. Any any two different brands/models of GPU are likely to give >> different results. (Possibly not *very* different, but considering the mess >> that floating point maths was prior to IEEE-754, possibly *very* different.) > > This hasn't been true in NVidia GPUs manufactured since ca. 2008. > >> Personally, I wouldn't trust GPU floating point for serious work. Maybe for >> quick and dirty exploration of the data, but I'd then want to repeat any >> calculations using the main CPU before using the numbers anywhere :-) > > There is a *huge* dash toward GPU computing in the scientific computing > sector. Since I started as a graduate student in computational > chemistry/physics in 2008, I watched as state-of-the-art supercomputers > running tens of thousands to hundreds of thousands of cores were > overtaken in performance by a $500 GPU (today the GTX 780 or 980) you > can put in a desktop. I went from running all of my calculations on a > CPU cluster in 2009 to running 90% of my calculations on a GPU by the > time I graduated in 2013... and for people without as ready access to > supercomputers as myself the move was even more pronounced. > > This work is very serious, and numerical precision is typically of > immense importance. See, e.g., > http://www.sciencedirect.com/science/article/pii/S0010465512003098 and > http://pubs.acs.org/doi/abs/10.1021/ct400314y > > In our software, we can run simulations on a GPU or a CPU and the > results are *literally* indistinguishable. The transition to GPUs was > accompanied by a series of studies that investigated precisely your > concerns... we would never have started using GPUs if we didn't trust > GPU numbers as much as we did from the CPU. > > And NVidia is embracing this revolution (obviously) -- they are putting > a lot of time, effort, and money into ensuring the success of GPU high > performance computing. It is here to stay in the immediate future, and > refusing to use the technology will leave those that *could* benefit > from it at a severe disadvantage. (That said, GPUs aren't good at > everything, and CPUs are also here to stay.) > > And GPU performance gains are outpacing CPU performance gains -- I've > seen about two orders of magnitude improvement in computational > throughput over the past 6 years through the introduction of GPU > computing and improvements in GPU hardware. Thanks for the update. -- Terry Jan Reedy
Back to comp.lang.python | Previous | Next — Previous in thread | Next in thread | Find similar | Unroll thread
Parallelization of Python on GPU? John Ladasky <john_ladasky@sbcglobal.net> - 2015-02-25 18:35 -0800
Re: Parallelization of Python on GPU? Steven D'Aprano <steve+comp.lang.python@pearwood.info> - 2015-02-26 14:02 +1100
Re: Parallelization of Python on GPU? John Ladasky <john_ladasky@sbcglobal.net> - 2015-02-25 20:01 -0800
Re: Parallelization of Python on GPU? Jason Swails <jason.swails@gmail.com> - 2015-02-26 10:06 -0500
Re: Parallelization of Python on GPU? Sturla Molden <sturla.molden@gmail.com> - 2015-02-26 16:53 +0000
Re: Parallelization of Python on GPU? Terry Reedy <tjreedy@udel.edu> - 2015-02-26 12:16 -0500
Re: Parallelization of Python on GPU? Jason Swails <jason.swails@gmail.com> - 2015-02-26 12:48 -0500
Re: Parallelization of Python on GPU? Sturla Molden <sturla.molden@gmail.com> - 2015-02-26 22:10 +0100
Re: Parallelization of Python on GPU? Jason Swails <jason.swails@gmail.com> - 2015-02-26 17:28 -0500
Re: Parallelization of Python on GPU? Ethan Furman <ethan@stoneleaf.us> - 2015-02-25 19:03 -0800
Re: Parallelization of Python on GPU? Ethan Furman <ethan@stoneleaf.us> - 2015-02-25 19:05 -0800
Re: Parallelization of Python on GPU? John Ladasky <john_ladasky@sbcglobal.net> - 2015-02-25 21:53 -0800
Re: Parallelization of Python on GPU? Christian Gollwitzer <auriocus@gmx.de> - 2015-02-27 19:55 +0100
Re: Parallelization of Python on GPU? Jason Swails <jason.swails@gmail.com> - 2015-02-26 10:27 -0500
Re: Parallelization of Python on GPU? Sturla Molden <sturla.molden@gmail.com> - 2015-02-26 16:40 +0000
Re: Parallelization of Python on GPU? John Ladasky <john_ladasky@sbcglobal.net> - 2015-02-26 09:34 -0800
Re: Parallelization of Python on GPU? Sturla Molden <sturla.molden@gmail.com> - 2015-02-26 21:54 +0100
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