Comments (5)
I've had the best experience on clusters submitting a single job with a given node/cpu allocation, and then starting the engines with mpiexec ipengine
in the job file.
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So something along the lines of this?
#PBS -N ipython
#PBS -j oe
#PBS -l walltime=00:10:00
#PBS -l nodes=2:ppn=16
module load openmpi/1.6.4/intel
ipcontroller --log-to-file
mpiexec -np 31 ipengine --log-to-file
from ipyparallel.
Just about, though I often put the Controller in a different job or on a head node, so I don't pass -np
to mpiexec. That script as-is won't quite work to start the controller and engines both, because you'll need a condition for the controller, but otherwise 👍:
if [[ $rank = 0 ]]; then # whatever the PBS rank env variable is
ipcontroller;
else
mpiexec ...
from ipyparallel.
Thanks very much for your help, I have it all up and running now!
from ipyparallel.
@josh-gree thanks! I need to do some writeups for clusters, because often ipcluster
is not the easiest tool for the job.
from ipyparallel.
Related Issues (20)
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