Open MPI is a Message Passing Interface (MPI)

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project combining technologies and resources from several other projects (FT-MPI, LA-MPI, LAM/MPI, and PACX-MPI). It is used by many TOP500 supercomputers including

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, which was the world's fastest supercomputer from June 2008 to November 2009, and

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, the fastest supercomputer from June 2011 to June 2012.

Overview

Open MPI represents the merger between three well-known MPI implementations: * FT-MPI from the

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* LA-MPI from

Los Alamos National Laboratory Los Alamos National Laboratory (often shortened as Los Alamos and LANL) is one of the sixteen research and development laboratories of the United States Department of Energy (DOE), located a short distance northwest of Santa Fe, New Mexico, ...

* LAM/MPI from

Indiana University Indiana University (IU) is a system of public universities in the U.S. state of Indiana. Campuses Indiana University has two core campuses, five regional campuses, and two regional centers under the administration of IUPUI. *Indiana Universi ...

with contributions from the PACX-MPI team at the University of Stuttgart. These four institutions comprise the founding members of the Open MPI development team. The Open MPI developers selected these MPI implementations as excelling in one or more areas. Open MPI aims to use the best ideas and technologies from the individual projects and create one world-class open-source MPI implementation that excels in all areas. The Open MPI project specifies several top-level goals: * to create a free,

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, peer-reviewed, production-quality complete MPI-3.0 implementation * to provide extremely high, competitive performance (low latency or high

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) * to involve the high-performance computing community directly with external development and feedback (vendors, 3rd party researchers, users, etc.) * to provide a stable platform for 3rd-party research and commercial development * to help prevent the " forking problem" common to other MPI projects * to support a wide variety of high-performance computing platforms and environments

Code modules

The Open MPI code has 3 major code modules: * OMPI - MPI code * ORTE - the Open Run-Time Environment * OPAL - the Open Portable Access Layer

Commercial implementations

* Sun HPC Cluster Tools - beginning with version 7, Sun switched to Open MPI * Bullx MPI—In 2010

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announced the release of bullx MPI, based on Open MPI

Consortium

Open MPI development is performed within a consortium of many industrial and academic partners. The consortium also covers several other software projects such as the hwloc (Hardware Locality) library which takes care of discovering and modeling the topology of parallel platforms.

References

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External links