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Peridot: Towards Automated Runtime Detection of Performance Bottlenecks

In: High Performance Computing in Science and Engineering, Garching 2004

Author

Listed:
  • Karl Fürlinger

    (Technische Universität München, Institut für Informatik, Lehrstuhl für Rechnertechnik und Rechnerorganisation)

  • Michael Gerndt

    (Technische Universität München, Institut für Informatik, Lehrstuhl für Rechnertechnik und Rechnerorganisation)

Abstract

Performance analysis of parallel applications can be a time-consuming and daunting task, as it requires detailed a understanding of the interactions of the system’s components. We present the design and the prototypical implementation of a system for the automation of the performance analysis process developed within the Peridot project. Our system is based on the notion of cooperating agents that detect performance problems automatically at runtime and in a distributed fashion, avoiding several problems of classical performance analysis techniques such as overwhelmingly large trace files.

Suggested Citation

  • Karl Fürlinger & Michael Gerndt, 2005. "Peridot: Towards Automated Runtime Detection of Performance Bottlenecks," Springer Books, in: Arndt Bode & Franz Durst (ed.), High Performance Computing in Science and Engineering, Garching 2004, pages 193-202, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-28555-7_17
    DOI: 10.1007/3-540-28555-5_17
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