From: Maxime Boissonneault (maxime.boissonneault_at_calculquebec.ca)
Date: Thu Aug 14 2014 - 07:19:37 CDT
That should not be a problem, since if a job uses more than one node, we
expect it will use the nodes to their full extent. In other words, I
don't see a use case where you would want to use two half nodes instead
of one full node.
I've been given the pointer that building charm++ with
./build charm++ mpi-linux-x86_64 smp ....
should do the trick. Is that correct ?
Le 2014-08-14 03:13, Norman Geist a écrit :
> Yes its possible, but the keyword isn't "multicore" which always indicate a
> single node build, but "SMP". So you need to build your charm++ with
> network+smp support ;)
> BUT, unfortunately namd threats the +devices list for each node. Therefore
> it's not possible to assign different gpus on different nodes for the same
> job. I hacked the code to allow the +devices list to be accessed by the
> process's global rank, rather than the local rank on the node. So it's
> possible to assign a individual GPU for every process, which wouldn't also
> require a smp build. I can send you the changes I made.
> Norman Geist.
>> -----Ursprüngliche Nachricht-----
>> Von: owner-namd-l_at_ks.uiuc.edu [mailto:owner-namd-l_at_ks.uiuc.edu] Im
>> Auftrag von Maxime Boissonneault
>> Gesendet: Mittwoch, 13. August 2014 18:47
>> An: namd-l_at_ks.uiuc.edu
>> Betreff: namd-l: Hybrid MPI + Multicore + Cuda build
>> I am managing a GPU cluster. The configuration of the nodes is :
>> - 8 x K20 per node
>> - 2 x 10-core sockets per node.
>> The GPUs are run in exclusive process mode to prevent one user to
>> the GPU allocated to another user.
>> I would like to be able to run Namd with Cuda, with 1 MPI rank per GPU
>> and 2 or 3 threads.
>> Is it possible to build namd with such hybrid support ? All I see on
>> website and documentation is either multicore or mpi, but never both.
>> Maxime Boissonneault
>> Analyste de calcul - Calcul Québec, Université Laval
>> Ph. D. en physique
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-- --------------------------------- Maxime Boissonneault Analyste de calcul - Calcul Québec, Université Laval Ph. D. en physique
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