[R-sig-hpc] parallel and openblas

Martin Renner greatauklet at gmail.com
Tue Apr 24 17:40:44 CEST 2012


Hallo Claudia,

Thank you for that hint -- this works! A bit more permanent solution would be nice though; will need to look into that. 

Best,
Martin



Martin Renner
Post-doctoral Fellow				phone: 907-226 4672
University of Washington			   or: 907-235 0728
School of Aquatic and Fishery Sciences		Seattle, USA


On 24 Apr 2012, at 02:29 , beleites,claudia wrote:

> Martin, 
> 
> I possibly have/had the same problem (on a CentOS 5 system). 
> The R was assigned to one core only, and the solution is:
> system(sprintf('taskset -p 0xffffffff %d', Sys.getpid()))
> 
> The whole thread is this: https://stat.ethz.ch/pipermail/r-sig-hpc/2011-November/001171.html
> 
> Claudia
> 
> 
> ________________________________________
> Von: Martin Renner [greatauklet at gmail.com]
> Gesendet: Dienstag, 24. April 2012 10:51
> An: beleites,claudia
> Cc: r-sig-hpc at r-project.org
> Betreff: Re: [R-sig-hpc] parallel and openblas
> 
> Yes, Claudia, you're probaply right that all these threads are on one core. Yes, %*% is working as expected, utilizing all available cores, when R is linked to openblas.
> 
> Martin
> 
> 
> 
> On 23 Apr 2012, at 12:07 , Claudia Beleites wrote:
> 
>> Martin, do you actually know each core works with 1/8th (as opposed to
>> all 8 threads are run on the same core)?
>> 
>> Is implicitly parallel stuff (e.g. %*%) without package parallel working OK?
>> 
>> Claudia
>> 
>> Am 23.04.2012 21:53, schrieb Martin Renner:
>>> Parallel and openblas don't seem to mix well on my machine. If I link openblas, a job executed through parallel (using either the multicore or snow (local socket cluster) setup), each of my 8 cores only operates at 1/8 of 100% (taking a little longer than serial execution). Linking to the reference blas or to single-threaded atlas does not cause this handicap when running snow or multicore.
>>> 
>>> Is this a known problem (My google attempts were fruitless)? If yes, is there a fix for it? Do MKL or multi-threaded atlas have the same issues?
>>> 
>>> Thank you for your time.
>>> 
>>> Martin
>>> 
>>> 
>>> 
>>> Martin Renner
>>> Post-doctoral Fellow                         phone: 907-226 4672
>>> University of Washington                        or: 907-235 0728
>>> School of Aquatic and Fishery Sciences               Seattle, USA
>>> 
>>> 
>>> 
>>> 
>>> 
>>> debian squeeze on 8-core Xeon
>>>> sessionInfo()
>>> R version 2.15.0 (2012-03-30)
>>> Platform: x86_64-unknown-linux-gnu (64-bit)
>>> 
>>> locale:
>>> [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
>>> [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
>>> [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
>>> [7] LC_PAPER=C                 LC_NAME=C
>>> [9] LC_ADDRESS=C               LC_TELEPHONE=C
>>> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
>>> 
>>> attached base packages:
>>> [1] stats     graphics  grDevices utils     datasets  methods   base
>>> _______________________________________________
>>> R-sig-hpc mailing list
>>> R-sig-hpc at r-project.org
>>> https://stat.ethz.ch/mailman/listinfo/r-sig-hpc
>> 
>> 
>> --
>> Claudia Beleites
>> Spectroscopy/Imaging
>> Institute of Photonic Technology
>> Albert-Einstein-Str. 9
>> 07745 Jena
>> Germany
>> 
>> email: claudia.beleites at ipht-jena.de
>> phone: +49 3641 206-133
>> fax:   +49 2641 206-399
>> 
>> 
>> 
>> 
> 



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