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HPC Profiling with the Sun Studio™ Performance Tools

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Tools for High Performance Computing 2009

Abstract

In this paper, we describe how to use the Sun Studio Performance Tools to understand the nature and causes of application performance problems. We first explore CPU and memory performance problems for single-threaded applications, giving some simple examples. Then, we discuss multi-threaded performance issues, such as locking and false-sharing of cache lines, in each case showing how the tools can help. We go on to describe OpenMP applications and the support for them in the performance tools. Then we discuss MPI applications, and the techniques used to profile them. Finally, we present our conclusions.

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References

  1. Sun Studio Downloads, http://developers.sun.com/sunstudio/downloads/index.jsp.

  2. S.L.Graham, P.B. Kessler, and M.K.McKusick, An Execution Profiler for Modular Programs, Software Practice and Experience, 13, 671-685, August, 1983.

    Article  MATH  Google Scholar 

  3. Marco Zagha, Brond Larson, Steve Turner, and Marty Itzkowitz, Performance Analysis using the MIPS R10000 Performance Counters, Proceedings of SuperComputing ’96, Pittsburgh, PA, November, 1996.

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  4. Mikael Pettersson, Linux Performance-Monitoring Counters Driver, http://user.it.uu.se/~mikpe/linux/perfctr/ Computing Science Division, Uppsala University, Sweden.

  5. Stéphane Eranian, “Perfmon2: a standard performance monitoring interface for Linux”, http://perfmon2.sourceforge.net/perfmon2-20080124.pdf, January 2008.

  6. Ingo Molnar, Thomas Gleixner, “[ANNOUNCEMENT] Performance Counters for Linux”, http://lkml.org/lkml/2008/12/4/401, December 2008.

  7. Marty Itzkowitz, Brian J. N. Wiley, Christopher Aoki, and Nicolai Kosche, Memory Profiling using Hardware Counter, Proceedings of SuperComputing ’03, Phoenix, AZ, November, 2003.

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  8. Marty Itzkowitz, Memory Subsystem Profiling with the Sun Studio Performance Analyzer, http://cscads.rice.edu/workshops/summer09/slides/performance-tools/DProfile.cscads.pdf.

  9. Yuan Lin and Oleg Mazurov. Providing Observability for OpenMP 3.0 Applications, Proceedings of the 5th International Workshop on OpenMP. Dresden (2009).

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  10. The VampirTrace Project, http://www.tu-dresden.de/zih/vampirtrace, Technische Universität Dresden, Center for Information Services and High Performance Computing (ZIH), Dresden, Germany.

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Author information

Authors and Affiliations

  1. Sun Microsystems, 16 Network Circle, Menlo Park, CA, 94025, USA

    Marty Itzkowitz

Authors
  1. Marty Itzkowitz
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  2. Yukon Maruyama
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Corresponding author

Correspondence to Marty Itzkowitz .

Editor information

Editors and Affiliations

  1. Zentrum für Informationsdienste und, Hochleistungsrechnen (ZIH), TU Dresden, Dresden, 01062, Germany

    Matthias S. Müller

  2. Höchstleistungsrechenzentrum (HLRS), Universität Stuttgart, Nobelstr. 19, Stuttgart, 70569, Germany

    Michael M. Resch

  3. Höchstleistungsrechenzentrum (HLRS), Universität Stuttgart, Nobelstr. 19, Stuttgart, 70569, Germany

    Alexander Schulz

  4. Zentrum für Informationsdienste und, Hochleistungsrechnen (ZIH), TU Dresden, Dresden, 01062, Germany

    Wolfgang E. Nagel

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© 2010 Springer-Verlag Berlin Heidelberg

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Itzkowitz, M., Maruyama, Y. (2010). HPC Profiling with the Sun Studio™ Performance Tools. In: Müller, M., Resch, M., Schulz, A., Nagel, W. (eds) Tools for High Performance Computing 2009. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11261-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-11261-4_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11260-7

  • Online ISBN: 978-3-642-11261-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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