Comments on: Fast. Faster …. Performance Comparison: C# (ILNumerics), FORTRAN, MATLAB and numpy – Part II https://ilnumerics.net/blog/fast-faster-performance-comparison-c-ilnumerics-fortran-matlab-and-numpy-part-ii/ The Productivity Machine | A fresh attempt for scientific computing | http://ilnumerics.net Wed, 10 Mar 2021 05:36:00 +0000 hourly 1 https://wordpress.org/?v=4.1.41 By: Is Visual Basic a fast enough for millisecond orders | CL-UAT https://ilnumerics.net/blog/fast-faster-performance-comparison-c-ilnumerics-fortran-matlab-and-numpy-part-ii/#comment-14042 Tue, 30 Dec 2014 08:32:05 +0000 http://ilnumerics.net/blog/?p=52#comment-14042 […] Consider using optimized libraries. Some are around for C#/Visual Basic (ILNumerics) and Java (f.e. jblas). Recent tests have shown very good performance for numeric managed […]

]]> By: Arkadiusz Szulakiewicz https://ilnumerics.net/blog/fast-faster-performance-comparison-c-ilnumerics-fortran-matlab-and-numpy-part-ii/#comment-14022 Tue, 30 Jul 2013 11:21:00 +0000 http://ilnumerics.net/blog/?p=52#comment-14022 I have write nice article about caching objects in C#. You can find it here: http://blog.szulak.net/programming/caching-objects-in-c/

]]> By: Jorge https://ilnumerics.net/blog/fast-faster-performance-comparison-c-ilnumerics-fortran-matlab-and-numpy-part-ii/#comment-37 Wed, 20 Jun 2012 17:05:41 +0000 http://ilnumerics.net/blog/?p=52#comment-37 Nice comparison… My question is that now that we are going parallel more and more, I was wondering… whether Matlab overcomes its low speed compared to openMP implementations of FORTRAN code

]]> By: First Look at Julia for Windows https://ilnumerics.net/blog/fast-faster-performance-comparison-c-ilnumerics-fortran-matlab-and-numpy-part-ii/#comment-6 Tue, 03 Apr 2012 16:16:42 +0000 http://ilnumerics.net/blog/?p=52#comment-6 […] already familiar with what turns out to become our favorite algorithm for comparing languages: the kmeans algorithm in its beauty and simplicity. Here comes the Julia version I managed to run on […]

]]> By: randMax https://ilnumerics.net/blog/fast-faster-performance-comparison-c-ilnumerics-fortran-matlab-and-numpy-part-ii/#comment-2 Mon, 06 Feb 2012 19:21:47 +0000 http://ilnumerics.net/blog/?p=52#comment-2 That is a lovely comparison – and I am actually (positively) surprised that .NET/ILNumerics does so well! What puzzles me is the speed glitches for both, varing k and m in the upper third of your value range.

Is that related to e.g. CPU cache size, or would you just need to run more repetition (the error bars suggest that what we see is true)?

Anyhow: Lovely news for the c# enthusiast!

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