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 language | English |
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Title of host publication | OpenMP Shared Memory Parallel Programming - International Workshop on OpenMP Applications and Tools,WOMPAT 2001, Proceedings |
Editors | Rudolf Eigenmann, Michael J. Voss |
Publisher | Springer Verlag |
Pages | 40-52 |
Number of pages | 13 |
ISBN (Print) | 9783540445876 |
DOIs | |
State | Published - 2001 |
Externally published | Yes |
Event | International Workshop on OpenMP Applications and Tools, WOMPAT 2001 - West Lafayette, United States Duration: Jul 30 2001 → Jul 31 2001 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 2104 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Workshop on OpenMP Applications and Tools, WOMPAT 2001 |
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Country/Territory | United States |
City | West Lafayette |
Period | 07/30/01 → 07/31/01 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2001.