On Thu, Nov 4, 2010 at 12:06 PM, Prasenjit Kapat <kapatp@gmail.com> wrote:

> Hi,
>
> Looking for suggestions to run parallel R sessions. Consider the
> following setup:
>
> params.R: this file sets up a few simulation parameters which I
> generally modify manually
> funs.R: collection of functions needed for the simulation
> script.R: runs the main simulation using the parameters defined in
> params.R and the functions in funs.R
>
> There are two parameters, say, a, b (defined in params.R) for which I
> want to run (in parallel) the simulation over a large number of
> possible values. Suppose the simulation code (script.R) produces a
> list. I would like to collect all these lists and then do some more
> investigation of some of the simulation output over the grid of a x b
> values.
>
> How, do you suggest, should I go about implementing this? I would
> prefer that the R thread/process for (a_i, b_j) NOT interact (ie not
> share any data) with that for (a_m, b_n).
>
>
Hi, Prasenjit.

Have a look here:

http://cran.r-project.org/web/views/HighPerformanceComputing.html

Sean

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