foreach (or virtually anything you might use for concurrent programming) only really makes sense if the work the "clients" are doing is substantial enough to overwhelm the communication overhead. And there are many ways to accomplish the same task more or less efficiently (for example, doing blocks of tasks in chunks rather than passing each one as an individual job).
But more to the point, doSNOW works just fine on an SMP, no problem, it doesn't require a cluster. Jay <<example code omitted>> 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. And doSNOW is something to use when you have a cluster, while I have a simple dual-core PC. It is not really clear for how to make parallel computing work. Please, help. Regards, Sergey -- John W. Emerson (Jay) Associate Professor of Statistics Department of Statistics Yale University http://www.stat.yale.edu/~jay <http://www.stat.yale.edu/%7Ejay> [[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.
