[R] Summary of Suggestions for poor man's parallel processing
David Kane <David Kane
a296180 at mica.fmr.com
Fri May 10 17:33:48 CEST 2002
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.
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