On Tue, Sep 30, 2008 at 10:18 AM, quant15 <[EMAIL PROTECTED]> wrote: > > Hello R experts, > > I've been searching for weeks a way to use my quad core xeon to increase > speed of a very-very computer-intensive simulation I must do for my works. > > It seems that most purpose-made packages for R : Snow, Rmpi, snowfall,... > are designed for Linux based OS. I do not have access to Linux due to > professionnal reasons ... so I must work with windows XP. > > Do somebody know a way to unleash the calculation power of all four cores > under windows XP ?
Just tried snow under Windows 2000 and it works. Just follow the examples on http://www.sfu.ca/~sblay/R/snow.html but create a cluster as follow: cl <- makeSOCKcluster(c("localhost", "localhost", "localhost", "localhost")) and you have a cluster of all your four cores. As I don't have a dual or quadcore running windows, I can't confirm that it is actually using all cores (it does under Linux), but the cluster is created. If you have further questions, just ask - I am learning tio use snow as well. Rainer > > Thanks for your help !! > > Quant15 > -- > View this message in context: > http://www.nabble.com/Desperatly-seeking-Parallel-R-simulation-with-Windows-XP-tp19737748p19737748.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org 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. > -- Rainer M. Krug, PhD (Conservation Ecology, SUN), MSc (Conservation Biology, UCT), Dipl. Phys. (Germany) Centre of Excellence for Invasion Biology Faculty of Science Natural Sciences Building Private Bag X1 University of Stellenbosch Matieland 7602 South Africa ______________________________________________ R-help@r-project.org 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.
