I will preface this message by saying that I am not an R developer and no very little about R...but here is my situation:
One of my users has developed a model for analysing commodity prices. At the moment when he runs this model on his daily data set it takes roughly 5 hours to complete. He is using a quad core PC with 2gb of RAM. The R process only uses 1 core..i.e. the overall CPU usage tops out at around 25%. This has been a managable situation for a while, but he would now like to run this model on 5 years of historical data. He has a colleague who ran the model on a 16 core Redhat Linux box, but it took even longer to run. He has asked me for assistance in speeding up this process. I have a couple of questions: 1) Is is possible to run the Windows version of R across all four processors? 2) I was under the impression that R for Linux supported multi-threading by default. Am I correct in this assumption? If not, is it possible for Linux R to multi thread, and how do I go about configuring this? Apologies for the lack of detailed info in this post. I work in trade floor support and engineering and we dont really have much demand for this kind of heavy duty computational work so I am learning as I investigate this issue. Regards pejpm -- View this message in context: http://www.nabble.com/R-and-Multi-threading-tp19861868p19861868.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.
