[Rd] Build optimized R : openblas, MKL, ATLAS
b.h.mevik at usit.uio.no
Mon Aug 24 11:29:25 CEST 2015
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
./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 CFLAGS="$fast -wd188 -fp-model precise"
export FFLAGS="$fast -fp-model precise"
export CXXFLAGS="$fast -fp-model precise"
export FCFLAGS="$fast -fp-model precise"
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