I've been running R on a quad-core using Debian Gnu/Linux since March this year, and I am very pleased with the performance.
Simon. On Mon, 2007-12-17 at 20:13 -0500, Andrew Perrin wrote: > On Mon, 17 Dec 2007, Kitty Lee wrote: > > > Dear R-users, > > > > I use R to run spatial stuff and it takes up a lot of ram. Runs can take > > hours or days. I am thinking of getting a new desktop. Can R take advantage > > of the dual-core system? > > > > I have a dual-core computer at work. But it seems that right now R is using > > only one processor. > > > > The new computers feature quad core with 3GB of RAM. Can R take advantage > > of the 4 chips? Or am I better off getting a dual core with faster > > processing speed per chip? > > > > Thanks! Any advice would be really appreciated! > > > > K. > > If I have my information right, R will use dual- or quad-cores if it's > doing two (or four) things at once. The second core will help a little bit > insofar as whatever else your machine is doing won't interfere with the > one core on which it's running, but generally things that take a single > thread will remain on a single core. > > As for RAM, if you're doing memory-bound work you should certainly be > using a 64-bit machine and OS so you can utilize the larger memory space. > > > ---------------------------------------------------------------------- > Andrew J Perrin - andrew_perrin (at) unc.edu - http://perrin.socsci.unc.edu > Associate Professor of Sociology; Book Review Editor, _Social Forces_ > University of North Carolina - CB#3210, Chapel Hill, NC 27599-3210 USA > > ______________________________________________ > 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. -- Simon Blomberg, BSc (Hons), PhD, MAppStat. Lecturer and Consultant Statistician Faculty of Biological and Chemical Sciences The University of Queensland St. Lucia Queensland 4072 Australia Room 320 Goddard Building (8) T: +61 7 3365 2506 email: S.Blomberg1_at_uq.edu.au Policies: 1. I will NOT analyse your data for you. 2. Your deadline is your problem. The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. - John Tukey. ______________________________________________ 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.
