[Rd] Running R on dual/quad Opteron machines

[Simone Giannerini]

Dear Sean,

many thanks for the suggestion, I will have a look at the packages.

Regards,

Simone

On 3/6/06, Sean Davis <sdavis2 at mail.nih.gov> wrote:
>
>
>
> On 3/6/06 11:50 AM, "Simone Giannerini" <sgiannerini at gmail.com> 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: giannerini at stat.unibo.it