Abstract
As cluster computing has grown, so has its use for large scientific flavor of how to find performance problems using it.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
This work was performed under the auspices of the U.S. Dept. of Energy by University of California LLNL under contract W-7405-Eng-48.
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Hoeflinger, J. et al. (2001). An Integrated Performance Visualizer for MPI/OpenMP Programs. In: Eigenmann, R., Voss, M.J. (eds) OpenMP Shared Memory Parallel Programming. WOMPAT 2001. Lecture Notes in Computer Science, vol 2104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44587-0_5
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DOI: https://doi.org/10.1007/3-540-44587-0_5
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