[R] Distributed computing with R

[Paul Gilbert]

Tony

Thanks, this categorization has cleared up a few things I have found 
confusing. But should I read this to mean that SNOW would not run  on  
a  system or kernel level parallel setup?

Thanks,
Paul Gilbert

A.J. Rossini wrote:

>Also see SNOW (which simplifies parallel programming, sits on top of
>rpvm, Rmpi, or a socket-based system).
>
>Depends on whether you want parallelism on the:
>
>1. User-level -- the libraries such as PVM, LAM-MPI, etc will help,
>                 and there are various packages which provide an API
>                 to those.
>
>2. System-level -- then Condor, Sun Grid Engine / Maui scheduler, and
>                   similar queueing/batching/allocation daemons will
>                   help (computational grid software is usually a
>                   generalization of this which adds authentication
>                   and resource allocation).
>
>3. Kernel-level -- then OpenMOSIX, BPROC, etc will help.
>
>They are mostly orthogonal.  Mostly... :-).
>
>best,
>-tony
>
>
>
>Armin Roehrl <armin at xss.de> writes:
>
>  
>
>>If you do some programming, you might want to look at MPI.
>>R-extensions for MPI exist  (RMPI).
>>
>>It all depends a lot on what kind of usage you envisage of your cluster.
>>Open-PBS is also a good batch system. Maybe you also want to
>>look at Mosix, which is a modified linux system.
>>
>>Depending on what your ultimate computing ressources are,
>>maybe also look at IBM's Globus toolkit.
>>
>>Parallel programming is fun. The world is inherently parallel!
>>Ciao,
>>    -Armin.
>>
>>----------------------------------------
>>Armin Roehrl, http://www.approximity.com
>>We manage risk
>>
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>>    
>>
>
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