I run Fedora 22 R package. It is build with --with-lapack \ --with-blas \ --enable-R-shlib \.
As the machine will act as a server with lots of R data computing, I try to optimize my R package. At first, I installed parallel_studio_xe_2016 with a free one year licence. Then, I build a package for R with Intel MKL and compiler. This took me lots of time as it was my first .rmp build. I finally managed to build and run it. Now, when looking at some blogs about R-RBenchmark.25, I realized that there is very few speed difference between Intel BLAS and OpenBlas. I am now wondering if such Intel stuff (with its paid licencing) and the need to build my own R package is really worth. Do anyone have some realistic point of view/advice? Then, in case I gave up with the Intel stuff, I am confused between the Lapack package and Openblas one. I know first one will provide liblas.so.3 when second one libopenblas.so. Am i right to say I only need one blas library and the openBlas one is the one to get? Can I use instead the openmp version of openblas, or shall I installed both? here again, I am a litle confused. As for the liblapack.so.3, I will get it from the Fedora lapack package. last, what is the correct way to tell R to use these shared libraries, after R has been built? Thank you for advices and help. -- ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
