Re: [R] Distributed computing with R

Roger D. Peng Thu, 03 Jun 2004 08:55:52 -0700

snow works well on an openMosix system, and is actually quite convenient since you don't have to worry about which process is going to which computer. The kernel migrates the processes automatically (usually).

-roger

Paul Gilbert wrote:

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 <[EMAIL PROTECTED]> 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
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Re: [R] Distributed computing with R

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