[R] ParallelR

[Markus Schmidberger]

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Hi,

mpi is probably the mostly used standard for parallel computing. It was
especially developed for message passing. Therefore most packages are
based on MPI.
Using "snow" you can choose between socket, mpi, pvm and (in the newest
version) nws. I think actually there are no other communication ports.

To avoid entering your password you should use ssh-keys!

Best
Markus


Hesen Peng wrote:
> Hi,
> 
> I wonder if there are any parallel package which do not rely on mpi or pvm?
> 
> On Wed, Oct 8, 2008 at 5:09 PM, Markus Schmidberger
> <schmidb at ibe.med.uni-muenchen.de> wrote:
> Hi Chi,
> 
> ParallelR is a commercial software to run R in parallel. It is working
> very well. We tested it at a small linux cluster.
> 
> You also can use R and the parallel packages (snow, Rmpi, nws, ...)
> packages. All Open Source and for free. You probably will have some more
> work installing the complete system, but the same results.
> 
> You also can use a batch system with R. We are using Sun Grid Engine!
> (this should be even possible for parallelR)
> 
> Best
> Markus
> 
> 
> Chi Chan wrote:
>>>> Anyone using or has access to ParallelR? I was looking at the page and
>>>> found nothing really useful!
>>>>
>>>> http://www.revolution-computing.com/sitegenius/topic.php?id=195
>>>>
>>>> I want to see if I can run R on a cluster of workstation, and use
>>>> batch systems like Grid Engine or Xgrid:
>>>>
>>>> http://gridengine.sunsource.net/
>>>> http://ww.apple.com/acg/xgrid/
>>>>
>>>> --Chi
>>>>
>>>> ______________________________________________
>>>> R-help at r-project.org mailing list
>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>>>> and provide commented, minimal, self-contained, reproducible code.
>>
______________________________________________
R-help at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
>>

- --
Dipl.-Tech. Math. Markus Schmidberger

Ludwig-Maximilians-Universität München
IBE - Institut für medizinische Informationsverarbeitung,
Biometrie und Epidemiologie
Marchioninistr. 15, D-81377 Muenchen
URL: http://www.ibe.med.uni-muenchen.de
Mail: Markus.Schmidberger [at] ibe.med.uni-muenchen.de
Tel: +49 (089) 7095 - 4599
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