From arnaud.gaboury at gmail.com  Mon Aug 24 13:46:06 2015
From: arnaud.gaboury at gmail.com (arnaud gaboury)
Date: Mon, 24 Aug 2015 13:46:06 +0200
Subject: [Rd] Build optimized R : openblas, MKL, ATLAS
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	<s3smvxhnife.fsf@slagelg.uio.no>
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	<21979.808.561019.747002@max.nulle.part>
Message-ID: <CAK1hC9t71AKv09RXrfqTeP8PHDBtZ+QtioCusmiqhGu21r_CAQ@mail.gmail.com>

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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[Rd] Build optimized R : openblas, MKL, ATLAS
arnaud gaboury