[R] Summary of Suggestions for poor man's parallel processing

Warnes, Gregory R gregory_r_warnes at groton.pfizer.com
Mon May 13 16:14:48 CEST 2002


A couple of years ago I wrote a PERL script for distributing tasks across as
set of machines.  It's available at
http://www.warnes.net/downloads/distribute_pl.txt and you might find it a
useful place to start.

-Greg



> -----Original Message-----
> From: David Kane <David Kane [mailto:a296180 at mica.fmr.com]
> Sent: Friday, May 10, 2002 11:34 AM
> To: r-help at stat.math.ethz.ch
> Subject: [R] Summary of Suggestions for poor man's parallel processing
> 
> 
> Thanks to Luke Tierney, Agustin Lobo, Stephen Eglen, A.J. 
> Rossini, Simon Wood
> and Timothy H. Keitt for responding to my question about poor 
> man's parallel
> processing. Much of the substantive material was cc'ed to 
> r-help already, but
> my take is as follows.
> 
> 1) Currently, there is nothing "simple" for solving my problem.
> 
> 2) I thought that Timothy Keitt's description of the use of a 
> relational
>    database for keeping track of different runs was quite interesting.
> 
> 3) It seems clear that the "future" of this sort of activity 
> lies with RPVM
>    (already available on CRAN) and SNOW by Luke Tierney. I found the
>    description of SNOW available at
>    http://www.stat.umn.edu/~luke/R/cluster/cluster.html to be 
> intriguing. 
> 
> 4) Since my needs are so simple, I will probably just hack 
> something together
>    myself that involves splitting my big.list into 4 chunks 
> in Perl and then
>    starting 4 jobs in R from Perl. Once those jobs are 
> complete, I will then
>    start an R job that collects the results. At least that is 
> my current
>    plan. I plan to follow the progress of RPVM and SNOW closely.
> 
> Thanks to all who responded.
> 
> Dave Kane
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