On Mon, Nov 07, 2005 at 07:57:28PM +0100, [EMAIL PROTECTED] wrote: > I would like to accelerate my R computation by using parallel OpenMP > compilers (e.g from Pathscale) on a 2-processor AMD server and I > would like to know whether R is a tread safe library. The main
R is not thread safe, but others will have to tell you just how and why not and what needs to be done to fix that (I don't know). Does OpenMP require thread support, or can it alternately use multiple processes plus System V shared memory? Perhaps the latter would still be an option even in R's currently non-thread-safe state. Your approach is interesting. Why do you want to do shared memory parallel programming with OpenMP, rather than say message passing via MPI or PVM? Do you have a particularly fine-grained problem for which message passing would be unsuitable? Or are you just hoping to automatically take advantage of both CPUs of your dual CPU workstation without having to write any extra message passing code? I haven't heard of anyone else doing shared memory programming with R. But if instead you are interested in message passing, there are lots of different tools and projects in R for that: http://cran.us.r-project.org/src/contrib/Descriptions/Rmpi.html http://cran.us.r-project.org/src/contrib/Descriptions/rpvm.html http://cran.us.r-project.org/src/contrib/Descriptions/papply.html http://cran.us.r-project.org/src/contrib/Descriptions/snow.html http://www.aspect-sdm.org/Parallel-R/ http://cran.us.r-project.org/src/contrib/Descriptions/RScaLAPACK.html http://cran.us.r-project.org/src/contrib/Descriptions/taskPR.html http://cran.us.r-project.org/src/contrib/Descriptions/biopara.html http://www.omegahat.org/download/R/packages/CORBA.tar.gz -- Andrew Piskorski <[EMAIL PROTECTED]> http://www.piskorski.com/ ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
