On Mon, Aug 24, 2015 at 1:42 PM, Dirk Eddelbuettel <e...@debian.org> wrote: > > On 24 August 2015 at 11:43, arnaud gaboury wrote: > | On Mon, Aug 24, 2015 at 11:29 AM, Bjørn-Helge Mevik > | <b.h.me...@usit.uio.no> wrote: > | > arnaud gaboury <arnaud.gabo...@gmail.com> writes: > | > > | >> - Intel MKL: this is part of Intel Parallel Studio and is a paid > | >> software. Now, there is the MKL package distributed by > | >> Revolutionanalytics, but I am not certain how this can be distributed > | >> for free. Is there any kind of difference? In case of use of this > | >> package, do I need to install RRO or can I just build R from GNU > | >> against these libraries? > | > > | > We regularly build the standard R against MKL, simply using > | > | Do you use proprietary Intel MKL or open source package like OpenBLAS ? > > You may be able to switch at will _after_ R has been built and installed.
something like: # update-alternatives --config .... ? Reference to this blog[0] > [0]http://blog.nguyenvq.com/blog/2014/11/10/optimized-r-and-python-standard-blas-vs-atlas-vs-openblas-vs-mkl/ -- google.com/+arnaudgabourygabx ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
