A survey of MPI usage in the US exascale computing project

Bernholdt, David E.; Boehm, Swen; Bosilca, George; Venkata, Manjunath Gorentla; Grant, Ryan E.; Naughton, Thomas; Pritchard, Howard P.; Schulz, Martin; Vallee, Geoffroy R.

doi:10.1002/cpe.4851

Title: A survey of MPI usage in the US exascale computing project

Abstract

The Exascale Computing Project (ECP) is currently the primary effort in the United States focused on developing “exascale” levels of computing capabilities, including hardware, software, and applications. In order to obtain a more thorough understanding of how the software projects under the ECP are using, and planning to use the Message Passing Interface (MPI), and help guide the work of our own project within the ECP, we created a survey. Of the 97 ECP projects active at the time the survey was distributed, we received 77 responses, 56 of which reported that their projects were using MPI. This paper reports the results of that survey for the benefit of the broader community of MPI developers.

Authors:

^[1]; Boehm, Swen ^[1];

^[2]; Venkata, Manjunath Gorentla ^[1]; Grant, Ryan E. ^[3]; Naughton, Thomas ^[1]; Pritchard, Howard P. ^[4]; Schulz, Martin ^[5]; Vallee, Geoffroy R. ^[1]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Univ. of Tennessee, Knoxville, TN (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Technical Univ. of Munich, Munich (Germany)

Publication Date:: Thu Sep 27 00:00:00 EDT 2018

Research Org.:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA)

OSTI Identifier:: 1477440

Alternate Identifier(s):: OSTI ID: 1474751; OSTI ID: 1560504

Report Number(s):: SAND-2018-6513J
Journal ID: ISSN 1532-0626; 664505

Grant/Contract Number:: AC04-94AL85000; AC05-00OR22725; NA0003525; FC02-06ER25750; AC52-07NA27344

Resource Type:: Accepted Manuscript

Journal Name:: Concurrency and Computation. Practice and Experience

Additional Journal Information:: Journal Volume: 32; Journal Issue: 3; Journal ID: ISSN 1532-0626

Publisher:: Wiley

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING; exascale; MPI

Citation Formats


                    Bernholdt, David E., Boehm, Swen, Bosilca, George, Venkata, Manjunath Gorentla, Grant, Ryan E., Naughton, Thomas, Pritchard, Howard P., Schulz, Martin, and Vallee, Geoffroy R. A survey of MPI usage in the US exascale computing project.  United States: N. p., 2018. 
Web.  doi:10.1002/cpe.4851.

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                    Bernholdt, David E., Boehm, Swen, Bosilca, George, Venkata, Manjunath Gorentla, Grant, Ryan E., Naughton, Thomas, Pritchard, Howard P., Schulz, Martin, & Vallee, Geoffroy R. A survey of MPI usage in the US exascale computing project.  United States.  https://doi.org/10.1002/cpe.4851

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                    Bernholdt, David E., Boehm, Swen, Bosilca, George, Venkata, Manjunath Gorentla, Grant, Ryan E., Naughton, Thomas, Pritchard, Howard P., Schulz, Martin, and Vallee, Geoffroy R. Thu .  
"A survey of MPI usage in the US exascale computing project".  United States.  https://doi.org/10.1002/cpe.4851.  https://www.osti.gov/servlets/purl/1477440.

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@article{osti_1477440,

  title        = {A survey of MPI usage in the US exascale computing project},

  author       = {Bernholdt, David E. and Boehm, Swen and Bosilca, George and Venkata, Manjunath Gorentla and Grant, Ryan E. and Naughton, Thomas and Pritchard, Howard P. and Schulz, Martin and Vallee, Geoffroy R.},

  abstractNote = {The Exascale Computing Project (ECP) is currently the primary effort in the United States focused on developing “exascale” levels of computing capabilities, including hardware, software, and applications. In order to obtain a more thorough understanding of how the software projects under the ECP are using, and planning to use the Message Passing Interface (MPI), and help guide the work of our own project within the ECP, we created a survey. Of the 97 ECP projects active at the time the survey was distributed, we received 77 responses, 56 of which reported that their projects were using MPI. This paper reports the results of that survey for the benefit of the broader community of MPI developers.},

  doi          = {10.1002/cpe.4851},

  journal      = {Concurrency and Computation. Practice and Experience},

  number       = 3,

  volume       = 32,

  place        = {United States},

  year         = {Thu Sep 27 00:00:00 EDT 2018},

  month        = {Thu Sep 27 00:00:00 EDT 2018}

}

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https://doi.org/10.1002/cpe.4851

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Works referenced in this record:

Enabling communication concurrency through flexible MPI endpoints
journal, September 2014

Dinan, James; Grant, Ryan E.; Balaji, Pavan
The International Journal of High Performance Computing Applications, Vol. 28, Issue 4
DOI: 10.1177/1094342014548772

GPU-Centric Communication on NVIDIA GPU Clusters with InfiniBand: A Case Study with OpenSHMEM
conference, December 2017

Potluri, Sreeram; Goswami, Anshuman; Rossetti, Davide
2017 IEEE 24th International Conference on High Performance Computing (HiPC)
DOI: 10.1109/HiPC.2017.00037