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An Integrated Performance Visualizer for MPI/OpenMP Programs

Jay HoeflingerContact Information, Bob KuhnContact Information, Wolfgang NagelContact Information, Paul PetersenContact Information, Hrabri Rajic1Contact Information, Sanjiv ShahContact Information, Jeff VetterContact Information, Michael VossContact Information and Renee WooContact Information

(5)  KAI Software Intel Americas, Inc., Champaign, Illinois, 61820, USA
(6)  Center for High Performance Computing Dresden University of Technology, Germany
(7)  Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore, California, 94551, USA
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.

Contact Information Jay Hoeflinger
Email: fjay.p.hoeflinger@intel.com

Contact Information Bob Kuhn
Email: bob.kuhn@intel.com

Contact Information Wolfgang Nagel
Email: nagel@zhr.tu-dresden.de

Contact Information Paul Petersen
Email: paul.m.petersen@intel.com

Contact Information Hrabri Rajic1
Email: hrabri.rajic@intel.com

Contact Information Sanjiv Shah
Email: sanjiv.shah@intel.com

Contact Information Jeff Vetter
Email: vetter@llnl.gov

Contact Information Michael Voss
Email: michael.voss@intel.com

Contact Information Renee Woo
Email: renee.woog@intel.com
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Referenced by
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  1. Li, Kuan-Ching (2008) Performance-based parallel application toolkit for high-performance clusters. The Journal of Supercomputing
    [CrossRef]
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