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Dynamic performance callstack sampling: Merging TAU and DAQV

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Applied Parallel Computing Large Scale Scientific and Industrial Problems (PARA 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1541))

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Abstract

Observing the performance of an application at runtime requires economy in what performance data is measured and accessed, and flexibility in changing the focus of performance interest. This paper describes the performance callstack as an efficient performance view of a running program which can be retrieved and controlled by external analysis tools. The performance measurement support is provided by the TAU profiling library whereas tool-program interaction support is available through the DAQV framework. How these systems are merged to provide dynamic performance callstack sampling is discussed.

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References

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Authors and Affiliations

  1. Computational Science Institute, Department of Computer and Information Science, University of Oregon, 97403, Eugene, OR

    Sameer Shende, Allen D. Malony & Steven T. Hackstadt

Authors
  1. Sameer Shende
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  2. Allen D. Malony
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  3. Steven T. Hackstadt
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Editor information

Bo Kågström Jack Dongarra Erik Elmroth Jerzy Waśniewski

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© 1998 Springer-Verlag Berlin Heidelberg

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Shende, S., Malony, A.D., Hackstadt, S.T. (1998). Dynamic performance callstack sampling: Merging TAU and DAQV. In: Kågström, B., Dongarra, J., Elmroth, E., Waśniewski, J. (eds) Applied Parallel Computing Large Scale Scientific and Industrial Problems. PARA 1998. Lecture Notes in Computer Science, vol 1541. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095376

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  • DOI: https://doi.org/10.1007/BFb0095376

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65414-8

  • Online ISBN: 978-3-540-49261-0

  • eBook Packages: Springer Book Archive

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