simple parallel computing on single multicore machine - R-help

Fri, Dec 1, 2006 9:44 AM #

Look at the nws package, I have had success using it to parallelize
simulations using a couple of computers that were not being used at the
time.  I don't have a multicore machine, but the examples in the package
make it look like using it for multicore would be even easier.

This is on windows 2000 machines with cygwin installed.

Hope this helps,

Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at intermountainmail.org
(801) 408-8111
 

-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Millo Giovanni
Sent: Friday, December 01, 2006 5:24 AM
To: r-help at stat.math.ethz.ch
Subject: [R] simple parallel computing on single multicore machine

Dear List,

the advent of multicore machines in the consumer segment makes me wonder
whether it would, at least in principle, be possible to divide a
computational task into more slave R processes running on the different
cores of the same processor, more or less in the way package SNOW would
do on a cluster. I am thinking of simple 'embarassingly parallel'
problems, just like inverting 1000 matrices, estimating 1000 models or
the like.

I have seen some talk here on making R multi-threaded and the like, but
this is much simpler. I am just a curious useR, so don't bother if you
don't have time, but maybe you can point me at some resource, or just
say "this is nonsense"...

Cheers
Giovanni

Giovanni Millo
Research Dept.,
Assicurazioni Generali SpA
Via Machiavelli 4,
34131 Trieste (Italy)
tel. +39 040 671184
fax  +39 040 671160
 
Ai sensi del D.Lgs. 196/2003 si precisa che le informazioni
...{{dropped}}

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