Towards an accurate model for collective communications

Sathish S. Vadhiyar, Graham E. Fagg, Jack J. Dongarra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The performance of the MPI’s collective communications is critical in most MPI-based applications. A general algorithm for a given collective communication operation may not give good performance on all systems due to the differences in architectures, network parameters and the storage capacity of the underlying MPI implementation. Hence, collective communications have to be tuned for the system on which they will be executed. In order to determine the optimum parameters of collective communications on a given system in a time-efficient manner, the collective communications need to be modeled efficiently. In this paper, we discuss various techniques for modeling collective communications.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2001 - International Conference, 2001, Proceedings
EditorsVassil N. Alexandrov, Jack J. Dongarra, Benjoe A. Juliano, René S. Renner, C.J. Kenneth Tan
PublisherSpringer Verlag
Pages41-50
Number of pages10
ISBN (Print)3540422323, 9783540422327
DOIs
StatePublished - 2001
Externally publishedYes
EventInternational Conference on Computational Science, ICCS 2001 - San Francisco, United States
Duration: May 28 2001May 30 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2073
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Computational Science, ICCS 2001
Country/TerritoryUnited States
CitySan Francisco
Period05/28/0105/30/01

Funding

FundersFunder number
U.S. Department of EnergyDE-FG02-99ER25378

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