Dear list, I want to run two independent calculation (A, B) and then combined their results to do a plot in R. Before I just run calculation A first, then calculation B. It will take some times. I just have one server with multiple core. I noticed that there are some nice package in R for parallel calculation, such as parallel, multicore and snow. Also there is a book, O?Reilly ? ?Parallel R, Data Analysis in the Distributed World? book by Q. Ethan McCallum and Stephen Weston. When track into these packages, I am a little of lost because I did not know parallel calculation too much. Could any one can give me some example codes for my purpose? So I can easy follow. Thank you very much in advance.
Simple example for High performance computing with R?
3 messages · Fabrice Tourre, Martin Morgan, Brian Ripley
On 05/29/2012 08:02 PM, Fabrice Tourre wrote:
Dear list, I want to run two independent calculation (A, B) and then combined their results to do a plot in R. Before I just run calculation A first, then calculation B. It will take some times. I just have one server with multiple core. I noticed that there are some nice package in R for parallel calculation, such as parallel, multicore and snow. Also there is a book, O?Reilly ? ?Parallel R, Data Analysis in the Distributed World? book by Q. Ethan McCallum and Stephen Weston. When track into these packages, I am a little of lost because I did not know parallel calculation too much. Could any one can give me some example codes for my purpose? So I can easy follow.
Here we sleep for 20 seconds, but do it in only 5 seconds!
> library(parallel)
> system.time(mclapply(1:4, function(i) Sys.sleep(5), mc.cores=4))
user system elapsed
0.006 0.025 5.021
Often, it is possible to use mclapply just like lapply; use the
'parallel' library, and for single processor machines the mclapply and
similar functions rather than parLapply and similar. This
vignette("parallel", package="parallel")
might provide further help. Likely you will get benefit from making your
calculation A use parallel calculations, and B use parallel calculation.
Martin
Thank you very much in advance.
______________________________________________ R-help at 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.
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On 30/05/2012 04:02, Fabrice Tourre wrote:
Dear list, I want to run two independent calculation (A, B) and then combined their results to do a plot in R. Before I just run calculation A first, then calculation B. It will take some times. I just have one server with multiple core. I noticed that there are some nice package in R for parallel calculation, such as parallel, multicore and snow. Also there is a book, O?Reilly ? ?Parallel R, Data Analysis in the Distributed World? book by Q. Ethan McCallum and Stephen Weston. When track into these packages, I am a little of lost because I did not know parallel calculation too much. Could any one can give me some example codes for my purpose? So I can easy follow. Thank you very much in advance.
______________________________________________ R-help at 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.
Please read the vignette for package 'parallel': we already answered your request.
Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595