Hi all, Just for the record, this is the link to the blog post: http://www.r-statistics.com/2010/04/parallel-multicore-processing-with-r-on-windows/
You can run work in parallel in multiple processors. Although it is only worthwhile when each "task" takes a long time to run (I give an example to that on the post). Best, Tal ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Wed, Jun 16, 2010 at 9:55 PM, Steve Lianoglou < mailinglist.honey...@gmail.com> wrote: > Hi, > > I think I lost the reference email somewhere, but: > > > Not only is the sequential foreach much slower than the simple > > for-loop (as least in this particular instance), but I am not quite > > sure how to make foreach run parallel. Where would I get this parallel > > backend? I looked at doMC and doRedis, but these do not run on > > Windows, as far as I understand. > > See this blog post: > http://www.r-statistics.com/tag/dosmp/ > > -- > Steve Lianoglou > Graduate Student: Computational Systems Biology > | Memorial Sloan-Kettering Cancer Center > | Weill Medical College of Cornell University > Contact Info: http://cbio.mskcc.org/~lianos/contact > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.