[Rd] Build optimized R : openblas, MKL, ATLAS
arnaud.gaboury at gmail.com
Mon Aug 24 11:43:10 CEST 2015
On Mon, Aug 24, 2015 at 11:29 AM, Bjørn-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 ?
> ./configure --with-blas='-mkl=parallel' --with-lapack --enable-BLAS-shlib
> (The --enable-BLAS-shlib is not strictly needed for building agains MKL.)
> We also try to optimise the build by setting some environment variables
> before running configure:
> fast="-ip -O3 -opt-mem-layout-trans=3 -xHost -mavx"
> export CC="icc"
> export CFLAGS="$fast -wd188 -fp-model precise"
> export F77="ifort"
> export FFLAGS="$fast -fp-model precise"
> export CXX="icpc"
> export CXXFLAGS="$fast -fp-model precise"
> export FC="ifort"
> export FCFLAGS="$fast -fp-model precise"
> Bjørn-Helge Mevik
> R-devel at r-project.org mailing list
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