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

Journal Article · Thu Sep 27 00:00:00 EDT 2018 · Concurrency and Computation. Practice and Experience

DOI:https://doi.org/10.1002/cpe.4851· OSTI ID:1477440

^[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)

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.

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

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

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

OSTI ID:: 1477440

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

Report Number(s):: SAND-2018-6513J; 664505

Journal Information:: Concurrency and Computation. Practice and Experience, Vol. 32, Issue 3; ISSN 1532-0626

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 36 works

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References (7)

Enabling communication concurrency through flexible MPI endpoints Dinan, James; Grant, Ryan E.; Balaji, Pavan The International Journal of High Performance Computing Applications, Vol. 28, Issue 4 https://doi.org/10.1177/1094342014548772	journal	September 2014
GPU-Centric Communication on NVIDIA GPU Clusters with InfiniBand: A Case Study with OpenSHMEM Potluri, Sreeram; Goswami, Anshuman; Rossetti, Davide 2017 IEEE 24th International Conference on High Performance Computing (HiPC) https://doi.org/10.1109/HiPC.2017.00037	conference	December 2017
A Survey of MPI Usage in the U.S. Exascale Computing Project Bernholdt, David E.; Boehm, Swen; Bosilca, George https://doi.org/10.2172/1462877	report	June 2018
Post-failure recovery of MPI communication capability: Design and rationale Bland, Wesley; Bouteiller, Aurelien; Herault, Thomas The International Journal of High Performance Computing Applications, Vol. 27, Issue 3 https://doi.org/10.1177/1094342013488238	journal	June 2013
Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation Gabriel, Edgar; Fagg, Graham E.; Bosilca, George Recent Advances in Parallel Virtual Machine and Message Passing Interface https://doi.org/10.1007/978-3-540-30218-6_19	book	January 2004
MPI Sessions: Leveraging Runtime Infrastructure to Increase Scalability of Applications at Exascale Holmes, Daniel; Mohror, Kathryn; Grant, Ryan E. Proceedings of the 23rd European MPI Users' Group Meeting on - EuroMPI 2016 https://doi.org/10.1145/2966884.2966915	conference	January 2016
Why is MPI so slow?: analyzing the fundamental limits in implementing MPI-3.1 Raffenetti, Ken; Blocksome, Michael; Si, Min Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '17 https://doi.org/10.1145/3126908.3126963	conference	January 2017

Cited By (2)

Application health monitoring for extreme‐scale resiliency using cooperative fault management Agarwal, Pratul K.; Naughton, Thomas; Park, Byung H. Concurrency and Computation: Practice and Experience, Vol. 32, Issue 2 https://doi.org/10.1002/cpe.5449	journal	July 2019
Foreword to the Special Issue of the Workshop on Exascale MPI (ExaMPI 2017) Skjellum, Anthony; Bangalore, Purushotham V.; Grant, Ryan E. Concurrency and Computation: Practice and Experience, Vol. 32, Issue 3 https://doi.org/10.1002/cpe.5459	journal	July 2019

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