Guided Performance Analysis Combining Profile and Trace Tools

  • Judit Giménez
  • Jesús Labarta
  • F. Xavier Pegenaute
  • Hui-Fang Wen
  • David Klepacki
  • I-Hsin Chung
  • Guojing Cong
  • Felix Voigtländer
  • Bernd Mohr
Conference paper

DOI: 10.1007/978-3-642-21878-1_63

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6586)
Cite this paper as:
Giménez J. et al. (2011) Guided Performance Analysis Combining Profile and Trace Tools. In: Guarracino M.R. et al. (eds) Euro-Par 2010 Parallel Processing Workshops. Euro-Par 2010. Lecture Notes in Computer Science, vol 6586. Springer, Berlin, Heidelberg

Abstract

Performance analysis is very important to understand the applications’ behavior and to identify bottlenecks. Performance analysis tools should facilitate the exploration of the data collected and help to identify where the analyst has to look. While this functionality can promote the tools usage on small and medium size environments, it becomes mandatory for large-scale and many-core systems where the amount of data is dramatically increased. This paper proposes a new methodology based on the integration of profilers and timeline tools to improve and facilitate the performance analysis process.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Judit Giménez
    • 1
  • Jesús Labarta
    • 1
  • F. Xavier Pegenaute
    • 1
  • Hui-Fang Wen
    • 2
  • David Klepacki
    • 2
  • I-Hsin Chung
    • 2
  • Guojing Cong
    • 2
  • Felix Voigtländer
    • 3
  • Bernd Mohr
    • 4
  1. 1.BSC-UPCSpain
  2. 2.IBM T.J.WatsonUSA
  3. 3.RWTH Aachen UniversityGermany
  4. 4.Jülich Supercomputing CentreGermany

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