losemind wrote: > > > Moreover, at my PC level, I have a 4-core PC, is there anything we > could do in R to speed up my CV programs? > >
I have seen one very nice paper that compared parallelization options for R: http://epub.ub.uni-muenchen.de/8991/ losemind wrote: > > > we have to rewrite the whole R programs? > > I would like to disclaim that I haven't had the time to parallelize any of my R scripts. That being said, I noticed that many of the packages above implement parallelized versions of the apply() functions. Maybe taking advantage of apply wherever possible is a way to ensure you can get some benefit from parallelization without rewriting large portions of code. Hope this helps! -Charlie ----- Charlie Sharpsteen Undergraduate Environmental Resources Engineering Humboldt State University -- View this message in context: http://www.nabble.com/parallel-R--tp24221547p24223277.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.
