[aero_amit]

Dear SU2 Developers,

Details of running SU2 on multicore Machine is given in the manual. If I want to run it on cluster of workstation (each having multiple cores), what is the command/details (How to specify node number etc)?

GPU computing is becoming very popular (cost effective/fast computing). Is there any plan to release a GPU version of SU2 in near future?

Thanks

[Santiago Padron]

Hi,

In order to run SU2 in parallel, first you will need to compile the code in parallel, and then you can use the python script in the following manner
$ parallel_computation.py -f your_config_file.cfg -p 4.
-f for file, -p for number of processors.

You should note that different clusters have their own protocol to submit jobs, so you will have to look into that with you cluster administrator.

Santiago

[copeland]

Hi Harry,

It sounds like you are able to run parallel cases on a multi-core workstation using the parallel run tools included in the SU2 distribution. If this is not the case, then the manual provides details on installing with MPI and executing parallel cases using the parallel_computation.py python script.

The syntax for running SU2 on clusters depends on the job-submittal environment installed on the cluster. There are several standards (slurm, PBC, etc.) and depending on the unique environment of your cluster, you may be able to use the existing python tools directly or make small modifications to make it work. If you can provide me with some more details, I may be able to help more, but most computing groups have some introductory documentation on how to submit jobs to the cluster. I recommend seeking this information out and I think the path forward will become more clear.

GPU computing has the potential to be very powerful. The development team has discussed this, but, at the current time, we don't have anyone working on it. If members of the community are interested, we encourage folks to take on the challenge!


-Sean