[R-sig-Debian] revolution mkl with R 3.01 on Ubuntu 13.04

Elizabeth Tighe tighe at brandeis.edu
Fri Aug 2 19:08:20 CEST 2013


I was traveling and just now finally able to carve out time to install 
openblas from your RDev PPA.

R is now running on all available cores, many thanks (and "time for all 
15 tests" in R-benchmark-25 is 11 seconds!)

Your helpfulness and work to maintain R software for Ubuntu is much 


On 7/21/2013 9:08 PM, Michael Rutter wrote:
> On 07/18/2013 10:33 PM, Dirk Eddelbuettel wrote:
>> On 18 July 2013 at 22:14, Elizabeth Tighe wrote:
>> |
>> | Dirk,  That worked! Sort of.  It's gone from running processes on one
>> | processor to two processors and Rbenchmark ran in 64 seconds rather
>> than
>> | 178.  Is there a way to get it to use more than 2 processors when it
>> | can?  (revo mkl used all available processors by default).
>> That is by R's "design choice" as the parallel package sets the
>> default to
>> two.  See help(options), and/or the vignette for r-sig-hpc.
>> There have been helpful discussion over on r-sig-hpc over the months; you
>> probably want to lurk on that list / google-search its archives.
> I am a little late to this thread, but I have an update.  Many moons
> ago, I filed a bug/request to get the openblas package to run on more
> than two threads.  Every once in a while, I would get an update to that
> request, and finally the said the had fixed that issue.  I added this to
> my "to do" pile, and I have finally gotten around to testing it.
> And the good news is that it works.  If you go to my RDev PPA
> (https://launchpad.net/~marutter/+archive/rdev), you will find the
> latest version of Ubuntu's obenblas package backported to Raring,
> Quantal, and Precise.  You will also find updated versions of atlas and
> blas, as the new version of openblas breaks R if those are not installed
> as well.  I think Raring is fine, but Quantal and Precise need at least
> one installed.
> If you install the libopenblas-base pacakge, it should work right out of
> the box.  On my quad core machine, it ran 4 threads without having to do
> anything besides installing the package.  R-benchmark-25.R went from
> 20.1 to 16.6 seconds, but all cores were being used for the Matrix
> function part of the test.
> Hope this helps,
> Michael

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