Dear Sean, many thanks for the suggestion, I will have a look at the packages.
Regards, Simone On 3/6/06, Sean Davis <[EMAIL PROTECTED]> wrote: > > > > On 3/6/06 11:50 AM, "Simone Giannerini" <[EMAIL PROTECTED]> wrote: > > > Dear all, > > > > I am managing a departmental purchase of an Opteron based > > workstation/server for scientific computing on which we will be > > running R. > > The environment will probably be either Unix/Linux or Solaris and the > > amount of RAM will be 8-16Gb, depending on the number of processors. > > My main concerns are the following: > > > > 1. How much does R benefit from passing from one processor to > > two/four processor machines? Consider that the typical intensive use > > of the server > > will be represented by simulation studies with many repeated loops. > > You will have to implement some parallelization code yourself in order to > take full advantage of the multiple processors. See below. > > > 2. How does R cope with parallelization and/or parallelized compiled code ? > > You might look at the Rmpi and snow packages for parallelization from within > R. We use Rmpi and snow for analyses like simulation and have found these > applications quite easy to implement in parallel from within R. > > -- ______________________________________________________ Simone Giannerini Dipartimento di Scienze Statistiche "Paolo Fortunati" Universita' di Bologna Via delle belle arti 41 - 40126 Bologna, ITALY Tel: +39 051 2098248 Fax: +39 051 232153 E-mail: [EMAIL PROTECTED] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
