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A Scalable Approach to MPI Application Performance Analysis

  • Shirley Moore
  • Felix Wolf
  • Jack Dongarra
  • Sameer Shende
  • Allen Malony
  • Bernd Mohr
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Application Programmer Interface Trace Data Performance Instrumentation Collective Operation Event Trace 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Bhatia, N., Wolf, F.: EARL - API Documentation. Technical Report ICL-UT-04-03, University of Tennessee, Innovative Computing Laboratory (October 2004)Google Scholar
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    Song, F., Wolf, F., Bhatia, N., Dongarra, J., Moore, S.: An Algebra for Cross-Experiment Performance Analys is. In: Proc. of the International Conference on Parallel Processing ( ICPP), Montreal, Canada (August 2004)Google Scholar
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    Wolf, F., Mohr, B., Dongarra, J., Moore, S.: Efficient Pattern Search in Large Traces through Successive Refinement. In: Proc. of the European Conference on Parallel Computing (Euro-Par), Pisa, Italy (August - September 2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Shirley Moore
    • 1
  • Felix Wolf
    • 1
  • Jack Dongarra
    • 1
  • Sameer Shende
    • 2
  • Allen Malony
    • 2
  • Bernd Mohr
    • 3
  1. 1.Innovative Computing LaboratoryUniversity of TennesseeKnoxvilleUSA
  2. 2.Computer Science DepartmentUniversity of OregonEugeneUSA
  3. 3.Forschungszentrum Jülich, ZAMJülichGermany

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