I am trying to run my analysis on a super computing center and I am facing some difficulties. I wonder if anyone has experience running openseespy in HPC. Thanks!
It seems that openseespy does not support Parallel Scheduler. Although parallel computation is possible in one linux system, it cannot be used in HPC Cluster (multiple nodes).
On the openssespy site, there is no information about Parallel Scheduler support.
However, it may be possible because it uses the mpiexec command. However, this will only be possible with support from the openssespy library.
I tested it several times, but it didn't work.
I have installed miniconda on the cluster now.
When I tested the sample code, hello.py, it doesn't seem to be supported.
When I test it, I get error. (not support parallel processor)