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[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]Re: [tlug] Fortran --> Python (was linux engineer)
- Date: Fri, 08 Jun 2012 11:56:53 +0900
- From: Edward Middleton <edward.middleton@example.com>
- Subject: Re: [tlug] Fortran --> Python (was linux engineer)
- References: <CA+hLB24QCwzJdnUAqb_xgQJuTuERrxy8o8VnRRRXpZNyP45dPw@mail.gmail.com> <20120606145641.d069eb462b8be9a831d855f9@kinali.ch> <20120606182726.5c175889.jep200404@columbus.rr.com> <87k3zk9dcy.fsf@uwakimon.sk.tsukuba.ac.jp> <CAA2hLfE_yS16cNUA3WcvJ7TQ_rhWNH1nwJ+Zbp=Qx+KwTAE9kQ@mail.gmail.com> <20120607065721.GB7452@xray.astro.isas.jaxa.jp> <20120607093042.GA23720@nashi.hw.39mm.net> <CAFv52OCttLHBg0XAqjB0KeA0X4xezV5E+FvyVydXxkXGD-_CcA@mail.gmail.com>
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On 06/07/2012 06:52 PM, Josh Glover wrote:2012/6/7 Nicolas Limare<nicolas+tlug@example.com>:A clean rewrite with well defined APIs and unit tests would be necessary to make computational research verifiable and reproducible.That is a very good point. So in (at least) one specific way, computers have made scientific research worse.I think the superiority is in the compilers, better tuned for unusual HPC architectures than gcc or icc.I don't know. When I was doing numerical modeling in university (10 years ago) it wasn't the compilers so much as the libraries. If you can represent your problem as a matrix operation then pass it to a library optimized for the architecture it can handle efficiently distributing work among the processors. A lot of code I saw people writing in FORTRAN was written in a way that would be very hard for a compiler to run any way accept serially and get the correct result.Edward
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- [tlug] Fortran --> Python (was linux engineer)
- From: jep200404
- [tlug] Fortran --> Python (was linux engineer)
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- From: BALUTA Chris
- Re: [tlug] Fortran --> Python (was linux engineer)
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- Re: [tlug] Fortran --> Python (was linux engineer)
- From: Josh Glover
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