[Opm] Large Models for OPM Flow

[Alf Birger Rustad]

Hi Mohamad,


Flow has been tested, and on select models and hardware continue to improve performance up to 128 cores. However, giving a good overview of the limitations and various factors impacting scaling is a small paper in itself. Nobody has stepped up to provide models with a large number of cells yet.


I have not looked at the ONEM models, but you can probably get flow running on them with a little adjustment of the input deck. Just consult the flow manual to see what is supported in flow.


Good luck!

Alf


________________________________
Fra: Opm <opm-bounces at opm-project.org> på vegne av M. S. <sindimo at gmail.com>
Sendt: tirsdag 18. desember 2018 22.09
Til: opm at opm-project.org
Emne: [Opm] Large Models for OPM Flow

Dear All,

I was wondering what's the largest number of processing cores that Flow has
been tested with for the MPI parallel version, also if there's a repository
having large models (e.g. 1 million cells or larger) ready to test Flow
with for benchmarking on 16, 32, 64,128, etc cores.

I am currently using the Norne and SPE9 models for testing but they're too
small to be run on larger number of cores. I was also previously told here
that the larger SPE10 model 2 may not be the best model to use for
benchmarking as it's currently not included in any of the integration
testing and not the most stable to run.

For example ECLIPSE provides a model ONEM1 with different variations for
benchmarking on different number of cores (e.g. ONEM1_8, ONEM1_16, etc...),
I tried running those models using Flow but it seems that the model input
syntax for ECLIPSE isn't 100% compatible with Flow.

Any help on this would be much appreciated.

Many thanks.

Sincerely,

Mohamad
MIT Geonumerics group


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