I have good experiences with the foreach package, available on cran. It includes some tutorials which might help you.
cheers, Paul On 07/20/2011 11:44 PM, Madana_Babu wrote: > Hi all, > > I have R installed on a box, which is running on a machine with 16 core and > Redhat - Linux. I am handling huge (size of dataset will be 5 GB) dataset. > Lets assume that my data is in the form of structured (multiple) logs. I > access the data by using all.files(). Since by default basic version of R > utilizes single core, the processing of my analysis code is taking too much > time. I got to know that mclapply() can be used to use all cores > (processors) to make R much faster when we have multicores. Can anyone help > me in understanding how to use mclapply() function in the above situation. > > Thanks in advance > > Regards, > Madana > > -- > View this message in context: > http://r.789695.n4.nabble.com/R-on-Multicore-for-Linux-tp3682318p3682318.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. -- Paul Hiemstra, Ph.D. Global Climate Division Royal Netherlands Meteorological Institute (KNMI) Wilhelminalaan 10 | 3732 GK | De Bilt | Kamer B 3.39 P.O. Box 201 | 3730 AE | De Bilt tel: +31 30 2206 494 http://intamap.geo.uu.nl/~paul http://nl.linkedin.com/pub/paul-hiemstra/20/30b/770 ______________________________________________ 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.
