An integrated performance visualizer for MPI/OpenMP programs

Jay Hoeflinger, Bob Kuhn, Wolfgang Nagel, Paul Petersen, Hrabri Rajic, Sanjiv Shah, Jeff Vetter, Michael Voss, Renee Woo

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

8 Scopus citations

Abstract

As cluster computing has grown, so has its use for large scientific calculations. Recently, many researchers have experimented with using MPI between nodes of a clustered machine and OpenMP within a node, to manage the use of parallel processing. Unfortunately, very few tools are available for doing an integrated analysis of an MPI/OpenMP program. KAI Software, Pallas GmbH and the US Department of Energy have partnered together to build such a tool, VGV. VGV is designed for doing scalable performance analysis - that is, to make the performance analysis process qualitatively the same for small cluster machines as it is for the largest ASCI systems. This paper describes VGV and gives a flavor of how to find performance problems using it.

Original languageEnglish
Title of host publicationOpenMP Shared Memory Parallel Programming - International Workshop on OpenMP Applications and Tools,WOMPAT 2001, Proceedings
EditorsRudolf Eigenmann, Michael J. Voss
PublisherSpringer Verlag
Pages40-52
Number of pages13
ISBN (Print)9783540445876
DOIs
StatePublished - 2001
Externally publishedYes
EventInternational Workshop on OpenMP Applications and Tools, WOMPAT 2001 - West Lafayette, United States
Duration: Jul 30 2001Jul 31 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2104
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Workshop on OpenMP Applications and Tools, WOMPAT 2001
Country/TerritoryUnited States
CityWest Lafayette
Period07/30/0107/31/01

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2001.

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