Re: [R] Distributed computing with R

[Roger D. Peng]

I would suggest installing PVM or LAM-MPI and using the R 
packages `snow' and `rpvm' (or `Rmpi').  I've found the `snow' 
package very simple to use and useful for quick and dirty 
solutions.  I've used `snow' with an openMosix setup and on a 
simple cluster of workstations without any scheduler.  openMosix 
is nice because you don't have to worry about which process goes 
where but that's not to say it doesn't have its own difficulties.
Overall, my experience with parallel computing in R has been a 
little clunky but that's mostly because the problems I work on 
don't benefit much from such a setup.

-roger
Saroj Mohapatra wrote:
Dear all,
We have started using R for data analysis since a few months and find it
useful. We are planning to acquire a high-end dedicated system for
microarray data analysis and thinking of a distributed environment. I
would appreciate if some one could send some pointers regarding how to
choose a proper hardware configuration, software (R or other software,
esp. MATLAB), issues on setting up the cluster, etc. Has anyone here
some experience of R on a cluster? Does it provide significant benefits
as regards processing time? Is setting up the cluster more difficult
than using R on it?
Thanks.
Saroj K Mohapatra, MD
Research Associate
Tainsky Lab
Karmanos Cancer Institute
Wayne State University School of Medicine
110 E. Warren, Room 311
Detroit MI 48201
313-833-0715 x2424
[EMAIL PROTECTED]
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