I ran a bayesian simulation sometime ago and it took me 1 week to finish on a debian box (Dell PE 2850 Dual Intel [EMAIL PROTECTED] 6GB). I think it depends on the setting of the experiment and whether the code can be parallelized.
Simon Blomberg wrote: > 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. ______________________________________________ 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.