-----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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