Justin is right that parallelism will be of limited value for such small
systems. This looks like a serial optimization job.
Moreover, in this case, a better numerical method usually trumps any kind
of machine optimization.
Matt
On Fri, Oct 20, 2017 at 2:55 AM, Justin Chang
600 unknowns is way too small to parallelize. Need at least 10,000 unknowns
per MPI process:
https://www.mcs.anl.gov/petsc/documentation/faq.html#slowerparallel
What problem are you solving? Sounds like you either compiled PETSc with
debugging mode on or you just have a really terrible solver.
Good morning,
For my thesis I'm dealing with GALILEO, one of the clusters owned by Cineca.
http://www.hpc.cineca.it/hardware/galileo
The first question is: What is the best configuration to run petsc on this kind
of cluster? My code is only a MPI program and I would like to know if it's
better
