Dear all, does anyone know if there exists an effort to bring some kind of distributed computing to R? The most simple functionality I'm after is to be able to explicitly perform a task on a computing server. Sorry if this is a non-informed newbie question... Best regards Anders Sj?gren PhD Student Dept. of Mathematical Statistics Chalmers University of Technology Gothenburg, Sweden
http://www.analytics.washington.edu/statcomp/ You probably want to look at either Rpvm or the R Statistical Server (Python/SOAP) On Mar 22, 2004, at 4:21 AM, Anders Sj?gren wrote:> Dear all, > > does anyone know if there exists an effort to bring some kind of > distributed computing to R? The most simple functionality I'm after is > to be able to explicitly perform a task on a computing server. Sorry > if this is a non-informed newbie question... > > Best regards > > Anders Sj?gren > > PhD Student > Dept. of Mathematical Statistics > Chalmers University of Technology > Gothenburg, Sweden > > ______________________________________________ > R-devel@stat.math.ethz.ch mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-devel >--- Byron Ellis (bellis@hsph.harvard.edu) "Oook" -- The Librarian
The R-help list is probably better for this sort of question. In any case,
the R newsletter is a great source of accumulated (& distilled!) wisdom,
and the following might be relevant.
@Article{Rnews:Li+Rossini:2001,
author = {Michael Na Li and A.J. Rossini},
title = {{RPVM}: Cluster Statistical Computing in {R}},
journal = {R News},
year = 2001,
volume = 1,
number = 3,
pages = {4--7},
month = {September},
url = {http://CRAN.R-project.org/doc/Rnews/}
}
@Article{Rnews:Yu:2002,
author = {Hao Yu},
title = {Rmpi: Parallel Statistical Computing in R},
journal = {R News},
year = 2002,
volume = 2,
number = 2,
pages = {10--14},
month = {June},
url = {http://CRAN.R-project.org/doc/Rnews/}
}
@Article{Rnews:Carson+Murison+Mason:2003,
author = {Brett Carson and Robert Murison and Ian A. Mason},
title = {Computational Gains Using {RPVM} on a Beowulf Cluster},
journal = {R News},
year = 2003,
volume = 3,
number = 1,
pages = {21--26},
month = {June},
url = {http://CRAN.R-project.org/doc/Rnews/}
}
hope this helps,
Tony Plate
At Monday 02:21 AM 3/22/2004, Anders Sjögren wrote:>Dear all,
>
>does anyone know if there exists an effort to bring some kind of
>distributed computing to R? The most simple functionality I'm after is
to
>be able to explicitly perform a task on a computing server. Sorry if this
>is a non-informed newbie question...
>
>Best regards
>
>Anders Sjögren
>
>PhD Student
>Dept. of Mathematical Statistics
>Chalmers University of Technology
>Gothenburg, Sweden
>
>______________________________________________
>R-devel@stat.math.ethz.ch mailing list
>https://www.stat.math.ethz.ch/mailman/listinfo/r-devel
[[alternative HTML version deleted]]
> does anyone know if there exists an effort to bring some kind of > distributed computing to R? The most simple functionality I'm after is > to be able to explicitly perform a task on a computing server. Sorry if > this is a non-informed newbie question...As an alternate to the PVM/MPI interfaces mentioned by other people, I am working on a (very soon to be released) project for using the ScaLAPACK library [1] through a simple R interface. If the tasks that you want run an a computing server are simple (LAPACK) functions (solve, svd, etc) and not whole R scripts, then this be useful. David Bauer [1] http://www.netlib.org/scalapack/