On 14 June 2019 at 15:22, arnaud gaboury wrote: | I have build R with Intel MKL.The libraries are free for one year (maybe | did it change). The build is far from being trivial. Please find on my | github[0] some details
Gee, when oh when does this "meme" of "I built R with MKL" die? BLAS/LAPACK are _an interface_ and once you tell R to configure with BLAS as a shared library, _all_ matching BLAS/LAPACK libraries become _pluggable_. My gcbd package and vignette demonstrated that a decade+ ago (then using Goto). It also holds for MKL, and these days Intel tries harder with a) friendlier licenses and b) better packaging -- they even give .deb (and I believe .rpm). So now you just drop MKL in/out with a single script which you can find here https://github.com/eddelbuettel/mkl4deb with supporting blog posts at http://dirk.eddelbuettel.com/blog/2018/04/15#018_mkl_for_debian_ubuntu So please, let's not repeat this 'you have to use Revolution / Microsoft / $whatever R to get MKL' or 'you have to recompile R for MKL'. Lastly, if it matters is up to the beholder. Because the optmization in the MKL appears to come from _many_ explicit code paths for many Intel cpu (micro-)architectures, the installed footprint is sizeable -- IIRC it was 2gb when I wrote the blog post above. My linear algebra use (at home) is light so I just kept OpenBLAS which is almost as fast, and proper free software with a smaller installation footprint. Your mileage, as they say, may vary. Dirk -- http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
