f5ad90c920
Proposed extensions for Open MPI: - If MPI_INITLIZED is invoked and MPI is only partially initialized, wait until MPI is fully initialized before returning. - If MPI_FINALIZED is invoked and MPI is only partially finalized, wait until MPI is fully finalized before returning. - If the ompi_mpix_allow_multi_init MCA param is true, allow MPI_INIT and MPI_INIT_THREAD to be invoked multiple times without error (MPI will be safely initialized only the first time it is invoked).
96 строки
3.8 KiB
Plaintext
96 строки
3.8 KiB
Plaintext
# -*- text -*-
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#
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# Copyright (c) 2004-2005 The Trustees of Indiana University and Indiana
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# University Research and Technology
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# Corporation. All rights reserved.
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# Copyright (c) 2004-2005 The University of Tennessee and The University
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# of Tennessee Research Foundation. All rights
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# reserved.
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# Copyright (c) 2004-2005 High Performance Computing Center Stuttgart,
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# University of Stuttgart. All rights reserved.
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# Copyright (c) 2004-2005 The Regents of the University of California.
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# All rights reserved.
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# Copyright (c) 2007-2015 Cisco Systems, Inc. All rights reserved.
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# Copyright (c) 2013 NVIDIA Corporation. All rights reserved.
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# $COPYRIGHT$
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#
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# Additional copyrights may follow
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#
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# $HEADER$
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#
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# This is the US/English general help file for Open MPI.
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#
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[mpi_init:startup:internal-failure]
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It looks like %s failed for some reason; your parallel process is
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likely to abort. There are many reasons that a parallel process can
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fail during %s; some of which are due to configuration or environment
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problems. This failure appears to be an internal failure; here's some
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additional information (which may only be relevant to an Open MPI
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developer):
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%s
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--> Returned "%s" (%d) instead of "Success" (0)
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#
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[mpi_init:startup:pml-add-procs-fail]
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MPI_INIT has failed because at least one MPI process is unreachable
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from another. This *usually* means that an underlying communication
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plugin -- such as a BTL or an MTL -- has either not loaded or not
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allowed itself to be used. Your MPI job will now abort.
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You may wish to try to narrow down the problem;
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* Check the output of ompi_info to see which BTL/MTL plugins are
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available.
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* Run your application with MPI_THREAD_SINGLE.
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* Set the MCA parameter btl_base_verbose to 100 (or mtl_base_verbose,
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if using MTL-based communications) to see exactly which
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communication plugins were considered and/or discarded.
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#
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[mpi-param-check-enabled-but-compiled-out]
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WARNING: The MCA parameter mpi_param_check has been set to true, but
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parameter checking has been compiled out of Open MPI. The
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mpi_param_check value has therefore been ignored.
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#
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[mpi_init: invoked multiple times]
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Open MPI has detected that this process has attempted to initialize
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MPI (via MPI_INIT or MPI_INIT_THREAD) more than once. This is
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erroneous.
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#
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[mpi_init: already finalized]
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Open MPI has detected that this process has attempted to initialize
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MPI (via MPI_INIT or MPI_INIT_THREAD) after MPI_FINALIZE has been
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called. This is erroneous.
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#
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[mpi_finalize: not initialized]
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The function MPI_FINALIZE was invoked before MPI was initialized in a
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process on host %s, PID %d.
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This indicates an erroneous MPI program; MPI must be initialized
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before it can be finalized.
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#
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[mpi_finalize:invoked_multiple_times]
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The function MPI_FINALIZE was invoked multiple times in a single
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process on host %s, PID %d.
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This indicates an erroneous MPI program; MPI_FINALIZE is only allowed
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to be invoked exactly once in a process.
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#
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[sparse groups enabled but compiled out]
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WARNING: The MCA parameter mpi_use_sparse_group_storage has been set
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to true, but sparse group support was not compiled into Open MPI. The
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mpi_use_sparse_group_storage value has therefore been ignored.
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#
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[heterogeneous-support-unavailable]
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This installation of Open MPI was configured without support for
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heterogeneous architectures, but at least one node in the allocation
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was detected to have a different architecture. The detected node was:
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Node: %s
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In order to operate in a heterogeneous environment, please reconfigure
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Open MPI with --enable-heterogeneous.
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#
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[no cuda support]
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The user requested CUDA support with the --mca mpi_cuda_support 1 flag
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but the library was not compiled with any support.
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