[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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