Build optimized R : openblas, MKL, ATLAS
On Mon, Aug 24, 2015 at 1:42 PM, Dirk Eddelbuettel <edd at debian.org> wrote:
On 24 August 2015 at 11:43, arnaud gaboury wrote: | On Mon, Aug 24, 2015 at 11:29 AM, Bj?rn-Helge Mevik | <b.h.mevik at usit.uio.no> wrote: | > arnaud gaboury <arnaud.gaboury at 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/
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