Package Details: r-mkl 4.4.0-1

Git Clone URL: https://aur.archlinux.org/r-mkl.git (read-only, click to copy)
Package Base: r-mkl
Description: Language and environment for statistical computing and graphics, linked to the Intel(R) MKL.
Upstream URL: http://www.r-project.org/
Keywords: hpc mathematics modelling r statistics
Licenses: GPL
Conflicts: microsoft-r-open, r
Provides: r
Submitter: giniu
Maintainer: alexanderp
Last Packager: alexanderp
Votes: 25
Popularity: 0.004410
First Submitted: 2010-05-06 00:10 (UTC)
Last Updated: 2024-04-29 17:06 (UTC)

Latest Comments

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jdarch commented on 2013-08-05 05:53 (UTC)

Updated to 3.0.1

matmo commented on 2012-10-17 09:02 (UTC)

Updated to 2.15.1, I am not sure if I provided the MKL_ROOT correctly, comments welcome

<deleted-account> commented on 2011-07-10 09:44 (UTC)

CRAN makes it difficult to allow a package to stay slightly out of date (I can't devote the time necessary) and it's much easier to use R's built-in installation program, so I'm disowning this package. Sorry!

<deleted-account> commented on 2011-06-26 00:40 (UTC)

Updated to 2.13.0

giniu commented on 2011-02-14 09:41 (UTC)

I'm removing and disowning all my -mkl packages, I've lost interest in this library after trying to use it with numpy for 7 months and failing miserably - this isn't new issue and I'm not alone, take a look at date of this still unsolved problem ( http://matt.eifelle.com/2008/11/03/i-used-the-latest-mkl-with-numpy-and/ ) - this is only information I got when asking on numpy mailing list about the issue I'm having. I decided to use ATLAS instead of MKL everywhere I can, if you want to, go on and adopt the package. MKL is nice library, but I think it costs too much time to get it working.

giniu commented on 2010-11-10 21:09 (UTC)

updated to MKL 10.3

giniu commented on 2010-07-30 19:19 (UTC)

hopefully fixed linking MKL on 32bit machines. If it worked for someone before there is no need to update, so I'm not bumping the version.

giniu commented on 2010-05-06 00:11 (UTC)

I haven't tested it yet, it's mostly package from extra modified to use Intel MKL, it can give quite huge speed-up on some calculations (like 6 times faster!), but remember you need license for Intel MKL. Check http://www.r-bloggers.com/compiling-64-bit-r-2-10-1-with-mkl-in-linux/ for info that was used to setup this package.

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