library(parallel) # Requires R >=2.14 mclapply # a parallelized lapply()
You can process in parallel, but I'm not sure if it's safe to do graphics in parallel: someone else will need to chime in about that. Best, Michael On Thu, May 10, 2012 at 9:12 AM, Alaios <ala...@yahoo.com> wrote: > Dear all, > I am using my code the vgram.matrix of packets fields. I have around 500 > matrices that I need to pass inside that function and then plot those results. > > Even though my system has 16 cores is quite clear that I am only using one of > those. > Would it be able to skip these 500 "tasks" to the 16 cores, with each > processor having around 4 matrices to process? > > What would you suggest me doing? > > Regards > Alex > > [[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. ______________________________________________ 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.
