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Taking the MPI standard and the open MPI library to exascale

  • David E. Bernholdt
  • , George Bosilca
  • , Aurelien Bouteiller
  • , Ron Brightwell
  • , Jan Ciesko
  • , Matthew G.F. Dosanjh
  • , Giorgis Georgakoudis
  • , Ignacio Laguna
  • , Scott Levy
  • , Thomas Naughton
  • , Stephen L. Olivier
  • , Howard P. Pritchard
  • , Whit Schonbein
  • , Joseph Schuchart
  • , Amir Shehata
  • Oak Ridge National Laboratory
  • University of Tennessee
  • Sandia National Laboratories, New Mexico
  • Lawrence Livermore National Laboratory
  • Los Alamos National Laboratory

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The Open MPI for Exascale (OMPI-X) project was one of two in the Exascale Computing Project (ECP) focused on advancing the MPI ecosystem. The OMPI-X team worked with other MPI Forum members to champion several important features for inclusion in the MPI 4.0, 4.1, and upcoming 5.0 MPI standard versions, in support of the needs of exascale applications and systems. The team also worked with the larger Open MPI community to bring implementations of these new features and other enhancements into Open MPI, one of the leading open-source implementations of the MPI interface. This paper describes the motivation for the work of the OMPI-X project in the context of exascale computing needs, the nature of the resulting new capabilities in the MPI standard, and how they were implemented in the Open MPI library. Features include improved support for “MPI + X” programming models through partitioned communications and support for user-level threading, sessions, fault tolerance through the user-level fault mitigation (ULFM) and Reinit models, and other features. We also discuss enhancements to Open MPI providing improved performance and scalability for existing features, such as collective operations, one-sided operations, support for the Slingshot-11 interconnect of the initial exascale systems, and how the OMPI-X team worked to improve quality assurance for the Open MPI library, particularly on platforms of interest to the Department of Energy community.

Original languageEnglish
Pages (from-to)491-507
Number of pages17
JournalInternational Journal of High Performance Computing Applications
Volume38
Issue number5
DOIs
StatePublished - Sep 2024

Keywords

  • Exascale computing project
  • message passing interface

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