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# Copyright (c) 2004-2005 The Trustees of Indiana University and Indiana
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#                         of Tennessee Research Foundation.  All rights
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# Copyright (c) 2004-2005 High Performance Computing Center Stuttgart, 
#                         University of Stuttgart.  All rights reserved.
# Copyright (c) 2004-2005 The Regents of the University of California.
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# Copyright (c) 2007-2012 Cisco Systems, Inc.  All rights reserved.
# Copyright (c) 2013      NVIDIA Corporation.  All rights reserved.
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# Additional copyrights may follow
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# $HEADER$
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# This is the US/English general help file for Open MPI.
#
[mpi_init:startup:internal-failure]
It looks like %s failed for some reason; your parallel process is
likely to abort.  There are many reasons that a parallel process can
fail during %s; some of which are due to configuration or environment
problems.  This failure appears to be an internal failure; here's some
additional information (which may only be relevant to an Open MPI
developer):

  %s
  --> Returned "%s" (%d) instead of "Success" (0)
#
[mpi_init:startup:pml-add-procs-fail]
MPI_INIT has failed because at least one MPI process is unreachable
from another.  This *usually* means that an underlying communication
plugin -- such as a BTL or an MTL -- has either not loaded or not
allowed itself to be used.  Your MPI job will now abort.

You may wish to try to narrow down the problem;

 * Check the output of ompi_info to see which BTL/MTL plugins are
   available.
 * Run your application with MPI_THREAD_SINGLE.
 * Set the MCA parameter btl_base_verbose to 100 (or mtl_base_verbose,
   if using MTL-based communications) to see exactly which
   communication plugins were considered and/or discarded.
#
[mpi-param-check-enabled-but-compiled-out]
WARNING: The MCA parameter mpi_param_check has been set to true, but
parameter checking has been compiled out of Open MPI.  The
mpi_param_check value has therefore been ignored.
[mpi-params:leave-pinned-and-pipeline-selected]
WARNING: Cannot set both the MCA parameters mpi_leave_pinned and
mpi_leave_pinned_pipeline to "true".  Defaulting to mpi_leave_pinned
ONLY.
#
[mpi_finalize:invoked_multiple_times]
The function MPI_FINALIZE was invoked multiple times in a single
process on host %s, PID %d.  

This indicates an erroneous MPI program; MPI_FINALIZE is only allowed
to be invoked exactly once in a process.
#
[proc:heterogeneous-support-unavailable]
The build of Open MPI running on host %s was not 
compiled with heterogeneous support.  A process running on host 
%s appears to have a different architecture,
which will not work.  Please recompile Open MPI with the
configure option --enable-heterogeneous or use a homogeneous
environment.
#
[sparse groups enabled but compiled out]
WARNING: The MCA parameter mpi_use_sparse_group_storage has been set
to true, but sparse group support was not compiled into Open MPI.  The
mpi_use_sparse_group_storage value has therefore been ignored.
#
[heterogeneous-support-unavailable]
This installation of Open MPI was configured without support for
heterogeneous architectures, but at least one node in the allocation
was detected to have a different architecture. The detected node was:

Node: %s

In order to operate in a heterogeneous environment, please reconfigure
Open MPI with --enable-heterogeneous.
#
[mpi_init:warn-fork]
An MPI process has executed an operation involving a call to the
"fork()" system call to create a child process.  Open MPI is currently
operating in a condition that could result in memory corruption or
other system errors; your MPI job may hang, crash, or produce silent
data corruption.  The use of fork() (or system() or other calls that
create child processes) is strongly discouraged.  

The process that invoked fork was:

  Local host:          %s (PID %d)
  MPI_COMM_WORLD rank: %d

If you are *absolutely sure* that your application will successfully
and correctly survive a call to fork(), you may disable this warning
by setting the mpi_warn_on_fork MCA parameter to 0.
#
[ompi mpi abort:cannot guarantee all killed]
An MPI process is aborting at a time when it cannot guarantee that all
of its peer processes in the job will be killed properly.  You should
double check that everything has shut down cleanly.

  Reason:     %s
  Local host: %s
  PID:        %d
#
[no cuda support]
The user requested CUDA support with the --mca mpi_cuda_support 1 flag
but the library was not compiled with any support.