Reproducible measurements of MPI performance characteristics

William Gropp, Ewing Lusk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we describe the difficulties inherent in making accurate, reproducible measurements of message-passing performance. We describe some of the mistakes often made in attempting such measurements and the consequences of such mistakes. We describe mpptest, a suite of performance measurement programs developed at Argonne National Laboratory, that attempts to avoid such mistakes and obtain reproducible measures of MPI performance that can be useful to both MPI implementors and MPI application writers. We include a number of illustrative examples of its use.

Original languageEnglish (US)
Title of host publicationRecent Advances in ParallelVirtual Machine and Message Passing Interface - 6th European PVM/MPI Users’ Group Meeting, 1999, Proceedings
EditorsJack Dongarra, Emilio Luque, Tomas Margalef
PublisherSpringer-Verlag
Pages11-18
Number of pages8
ISBN (Print)3540665498, 9783540665496
DOIs
StatePublished - Jan 1 1999
Externally publishedYes
Event6th European Parallel Virtual Machine and Message Passing Interface Users’ Group Meeting, 1999 - Barcelona, Spain
Duration: Sep 26 1999Sep 29 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1697
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th European Parallel Virtual Machine and Message Passing Interface Users’ Group Meeting, 1999
CountrySpain
CityBarcelona
Period9/26/999/29/99

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Gropp, W., & Lusk, E. (1999). Reproducible measurements of MPI performance characteristics. In J. Dongarra, E. Luque, & T. Margalef (Eds.), Recent Advances in ParallelVirtual Machine and Message Passing Interface - 6th European PVM/MPI Users’ Group Meeting, 1999, Proceedings (pp. 11-18). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1697). Springer-Verlag. https://doi.org/10.1007/3-540-48158-3_2