As far as my experience goes, I've been running SIESTA on a 64-processor SMP
by Hewlett-Packard. Everything was okay, although using MPI on an SMP is
certainly a waste of memory. There's indeed no difference for SIESTA between
an SMP and a cluster.

2007/7/19, Marcos Verissimo Alves <[EMAIL PROTECTED]>:

Hi Thomas,

More details, such as compiler, mpi flavor, libraries, etc., would
definitely be useful. However, I have been using siesta on my dual-core
laptop without problems. Not as impressive as a 16-processed machine, but
it's a SMP machine anyway :) I remember I had trouble using lam-mpi, but I
don't remember if it was at compile time or run time. When I switched to
mpich, everything worked fine.

Regarding compiling instructions, there is no difference, as far as I
know, from compilation in a cluster or smp machines. Any of the how-to's
available will do the job.

Marcos

> Hello all,Our research group has recently invested in an SMP machine
with
> 16 processors. I am attempting to run compile and run the parallel
version
> of siesta. I am able to compile the program correctly using all of the
> required libraries but problems arise when attempting to delegate a job
> over multiple processors using the typical mpirun command in the siesta
> manual. I know that this posting is a little vague but has anyone been
> able to compile and run SIESTA multiple processors housed in a single
box?
> If so could you please email me so we can get into specifics.Thank you
> very much for your time and I look forward to your responsesThomas
> SadowskiUniversity of Connecticut
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--
Dr. Marcos Verissimo Alves
Post-Doctoral Fellow
Condensed Matter and Statistical Physics Sector
International Centre for Theoretical Physics
Trieste, Italy

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