orte clean.txt

NAME
     orte-clean - cleans up any stale processes and files leftover
     from Open MPI jobs

SYNOPSIS
     orte-clean [--host <hostnames> | --hostfile hosts.txt]

     orte-clean will attempt to clean up any processes and files
     leftover from Open MPI jobs that were run in the past.  This
     includes OMPI infrastructure/helper commands, any processes that
     were spawned as part of the job, and any temporary files.
     orte-clean will only act upon processes and files that belong to
     the user running the orte-clean command.

     orte-clean follows the same node selection rules as mpirun.  When
     running in a resource manager job, orte-clean will automatically
     clean all nodes allocated to that resource manager job.  When not
     running in a resource managed environment, orte-clean will
     default to running on the localhost.  The use of the --host for
     --hostfile allows the user to further specify the list of nodes
     to run on.

     Example 1: No resource manager being used

     To clean up the local node only
     example% orte-clean

     To clean up on a specific set of nodes specified on command line.
     example% orte-clean --host node1,node2,node3

     To clean up on a specific set of nodes from a file.
     example% orte-clean --hostfile nodes_file


     Example 2: Within a resource managed environment like N1GE,
     SLURM, or Torque.  The following example is from N1GE.

     First, we see that we have two nodes with two CPUs each.
     example% qsh -pe orte 4
     example% mpirun -np 4 hostname
     node1
     node1
     node2
     node2

     Clean up all the nodes in the cluster.
     example% orte-clean

     Clean up a subset of the nodes in the cluster.
     example% orte-clean -host node1

POSSIBLE FUTURE OPTIONS
      
     [--universe foobar] This argument will allow the user to specify
     a specific universe that needs to be cleaned.

     [-v | --verbose] This argument will run the command in verbose
     mode and print out the universes that are getting cleaned up.