Millo Giovanni wrote: > 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"... > > > I don't think snow (or rather its underlying message-passing interface) cares whether its processes are on different physical machines. So this is easily doable. Of course you need to be aware that the processes are competing for resources like RAM and disc.
-- O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
