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A Scalable Approach to MPI Application Performance Analysis

  • Conference paper
Recent Advances in Parallel Virtual Machine and Message Passing Interface (EuroPVM/MPI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3666))

Abstract

A scalable approach to performance analysis of MPI applications is presented that includes automated source code instrumentation, low overhead generation of profile and trace data, and database management of performance data. In addition, tools are described that analyze large-scale parallel profile and trace data. Analysis of trace data is done using an automated pattern-matching approach. Examples of using the tools on large-scale MPI applications are presented.

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References

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Author information

Authors and Affiliations

  1. Innovative Computing Laboratory, University of Tennessee, Knoxville, TN, 37996-3450, USA

    Shirley Moore, Felix Wolf & Jack Dongarra

  2. Computer Science Department, University of Oregon, Eugene, OR, 97403-1202, USA

    Sameer Shende & Allen Malony

  3. Forschungszentrum Jülich, ZAM, 52425, Jülich, Germany

    Bernd Mohr

Authors
  1. Shirley Moore
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  2. Felix Wolf
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  3. Jack Dongarra
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  4. Sameer Shende
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  5. Allen Malony
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  6. Bernd Mohr
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Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’ Informazione, Second University of Naples - Italy, Real Casa dell’Annunziata - via Roma, 29, 81031, Aversa, CE, Italy

    Beniamino Di Martino

  2. GUP, Institute of Graphics and Parallel Processing, Johannes Kepler University, Altenbergerstraße 69, A-4040, Linz, Austria

    Dieter Kranzlmüller

  3. Computer Science Department, University of Tennessee, 37996-3450, Knoxville, TN, USA

    Jack Dongarra

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© 2005 Springer-Verlag Berlin Heidelberg

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Moore, S., Wolf, F., Dongarra, J., Shende, S., Malony, A., Mohr, B. (2005). A Scalable Approach to MPI Application Performance Analysis. In: Di Martino, B., Kranzlmüller, D., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2005. Lecture Notes in Computer Science, vol 3666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11557265_41

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  • DOI: https://doi.org/10.1007/11557265_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29009-4

  • Online ISBN: 978-3-540-31943-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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