Looking at condor_config.local.dedicated.submit, in the statement,
"If your dedicated resources are configured to only run jobs, you should probably set this attribute to '0'",
does "only run jobs" mean "only run dedicated jobs" to correlate with Policy 1 in condor_config.local.dedicated.resource?
It does, but that's a small optimization. To run parallel/dedicated jobs, I'd leave UNUSED_CLAIM_TIMEOUT
at the default value of 600 unless you have a good reason to
change it, though.
Looking at condor_config.local.dedicated.resource, I wonder:
what settings are needed to run MPI apps within HTCondor on Windows?
Generally speaking, the most "High Throughput" way to run MPI jobs is to run a lot of
independent MPI jobs that each run on one node in your pool, perhaps on many cores on one node.
This can be done in the vanilla universe. If you absolutely must run MPI jobs across multiple
nodes, then you will need to run the parallel universe.
To run MPI jobs on the parallel universe, you'll need scripts to bootstrap the MPI world. To
be honest, I don't know of anyone who has done this on WIndows in quite some time, and
I don't know how up to date the examples we provide are with any modern version of
MPI for Windows.
-greg
Thanks,
Sam
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