MPI

Windows MPI

On Windows, OpenEye applications use the Microsoft implementation of MPI (MS-MPI). If it is not installed, you may see an error message:

The code execution cannot proceed because msmpi.dll was not found. Reinstalling the program may fix this problem.

To fix this issue, MS-MPI can be installed from the setup file provided in the bundle at C:\Program Files\OpenEye-applications<version>\mpi\MSMpiSetup.exe.

MPI on Windows requires a valid network connection. If no connection exists MPI will not run. A network connection can be created by installing a Microsoft loopback adapter. Please contact support@eyesopen.com for more details.

Note

Multi-node MPI is not currently available in Windows as it is not supported in MS-MPI

MS-MPI License

MIT License

Copyright (c) Microsoft Corporation. All rights reserved.

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Open MPI

On Linux and MacOS, OpenEye applications use the Open MPI implementation of MPI, found at Open MPI: Open Source High Performance Computing. The applications package includes a full Open MPI install, so no additional software is needed.

There are two requirements to run under Open MPI.

  • Every machine in the cluster must have the same version of the application installed.

  • The path to the application’s bin directory must be in the PATH environment variable on all machines, and be positioned before any other locations that may contain MPI executables (orted, mpirun, etc.).

Using Open MPI

To run under Open MPI on a single machine:

> [application executable] -mpi_np [number of processes] [other application options]

To run Open MPI on multiple machines, begin by generating a text file that will include the MPI hosts you plan to use and the number of processes on each (for this example, we’ll call this file hosts). The file should contain a line for each machine with the name of the machine, a space, then slots=N, where N is the number of processors for your run. For this example, the file looks like this:

c1 slots=4
c2 slots=4
c3 slots=4
c4 slots=4
c5 slots=4

The following command-line will then start a job with one master and 19 slaves.

> [application executable] -mpi_hostfile hosts [other application options]

The master will be on c1, where the job is being started. All the input/output for the run is controlled from the master machine, and all results and logging information are combined.

Open MPI License

Most files in this release are marked with the copyrights of the
organizations who have edited them.  The copyrights below are in no
particular order and generally reflect members of the Open MPI core
team who have contributed code to this release.  The copyrights for
code used under license from other parties are included in the
corresponding files.

Copyright (c) 2004-2010 The Trustees of Indiana University and Indiana
                        University Research and Technology
                        Corporation.  All rights reserved.
Copyright (c) 2004-2017 The University of Tennessee and The University
                        of Tennessee Research Foundation.  All rights
                        reserved.
Copyright (c) 2004-2010 High Performance Computing Center Stuttgart,
                        University of Stuttgart.  All rights reserved.
Copyright (c) 2004-2008 The Regents of the University of California.
                        All rights reserved.
Copyright (c) 2006-2017 Los Alamos National Security, LLC.  All rights
                        reserved.
Copyright (c) 2006-2017 Cisco Systems, Inc.  All rights reserved.
Copyright (c) 2006-2010 Voltaire, Inc. All rights reserved.
Copyright (c) 2006-2017 Sandia National Laboratories. All rights reserved.
Copyright (c) 2006-2010 Sun Microsystems, Inc.  All rights reserved.
                        Use is subject to license terms.
Copyright (c) 2006-2017 The University of Houston. All rights reserved.
Copyright (c) 2006-2009 Myricom, Inc.  All rights reserved.
Copyright (c) 2007-2017 UT-Battelle, LLC. All rights reserved.
Copyright (c) 2007-2017 IBM Corporation.  All rights reserved.
Copyright (c) 1998-2005 Forschungszentrum Juelich, Juelich Supercomputing
                        Centre, Federal Republic of Germany
Copyright (c) 2005-2008 ZIH, TU Dresden, Federal Republic of Germany
Copyright (c) 2007      Evergrid, Inc. All rights reserved.
Copyright (c) 2008      Chelsio, Inc.  All rights reserved.
Copyright (c) 2008-2009 Institut National de Recherche en
                        Informatique.  All rights reserved.
Copyright (c) 2007      Lawrence Livermore National Security, LLC.
                        All rights reserved.
Copyright (c) 2007-2017 Mellanox Technologies.  All rights reserved.
Copyright (c) 2006-2010 QLogic Corporation.  All rights reserved.
Copyright (c) 2008-2017 Oak Ridge National Labs.  All rights reserved.
Copyright (c) 2006-2012 Oracle and/or its affiliates.  All rights reserved.
Copyright (c) 2009-2015 Bull SAS.  All rights reserved.
Copyright (c) 2010      ARM ltd.  All rights reserved.
Copyright (c) 2016      ARM, Inc.  All rights reserved.
Copyright (c) 2010-2011 Alex Brick .  All rights reserved.
Copyright (c) 2012      The University of Wisconsin-La Crosse. All rights
                        reserved.
Copyright (c) 2013-2016 Intel, Inc. All rights reserved.
Copyright (c) 2011-2017 NVIDIA Corporation.  All rights reserved.
Copyright (c) 2016      Broadcom Limited.  All rights reserved.
Copyright (c) 2011-2017 Fujitsu Limited.  All rights reserved.
Copyright (c) 2014-2015 Hewlett-Packard Development Company, LP.  All
                        rights reserved.
Copyright (c) 2013-2017 Research Organization for Information Science (RIST).
                        All rights reserved.
Copyright (c) 2017-2018 Amazon.com, Inc. or its affiliates.  All Rights
                        reserved.
Copyright (c) 2018      DataDirect Networks. All rights reserved.
Copyright (c) 2018-2019 Triad National Security, LLC. All rights reserved.

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