[CIG-SHORT] Pylith-running mpi on cluster

[Matthew Knepley]

On Wed, Feb 7, 2018 at 2:24 PM, Charles Williams <willic3 at gmail.com> wrote:

> Dear Niloufar,
>
> It is hard to diagnose your problem without more information.  Information
> that would be helpful includes:
>
> 1.  What size of problem are you running?
> 2.  What solver settings are you using?
> 3.  Is this a linear or nonlinear problem?
> 4.  Is this a 2D or 3D problem?
> 5.  What does the run log show?  This will include convergence information
> and a PETSc summary of calls, etc.
>
> There are probably other things it would be good to know, but this should
> get us started.
>

In addition to the points Charles makes, it is very useful to understand
how performance is affected by architecture.
The advantages of multiple cores are very often oversold by vendors. Here
is a useful reference:

  http://www.mcs.anl.gov/petsc/documentation/faq.html#computers

I recommend running the streams program, which can be found in the PETSc
installation.

  Thanks,

     Matt


>
> Cheers,
> Charles
>
>
> On 7/02/2018, at 1:06 PM, Niloufar Abolfathian <
> niloufar.abolfathian at gmail.com> wrote:
>
> Hi,
>
> I am trying to run my code on the cluster but I have not gotten any
> improvements when using multiple cores.
>
> What I have tried:
>
> Downloaded binaries for both Mac and Linux.  Single core vs multiple cores
> (2 and 24 for Mac and Linux respectively) takes the same amount of time.
>
> Compiled from source, no speed up either using shared memory or mpi, even
> though the correct number of mpinemesis processes show up on multiple nodes.
>
> I appreciate if you can help me with running the mpi on the cluster.
>
> Thanks,
> Niloufar
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>
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