Message-ID: <s3smvxhnife.fsf@slagelg.uio.no>
Date: 2015-08-24T09:29:25Z
From: Bjørn-Helge Mevik
Subject: Build optimized R : openblas, MKL, ATLAS
In-Reply-To: <CAK1hC9v6vu+tMLTVMpZd=covXX06cVk2JRLb+jT37yD2yk88ag@mail.gmail.com> (arnaud gaboury's message of "Sat, 22 Aug 2015 17:47:11 +0200")
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 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"
--
Regards,
Bj?rn-Helge Mevik