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"...
Just use snow itself, for example. Or on a completely other level a tuned BLAS for perallel computations such as ATLAS. Uwe Ligges > 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}} > > ______________________________________________ > 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. ______________________________________________ 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.