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A Flexible Data Model to Support Multi-domain Performance Analysis

In: Tools for High Performance Computing 2014

Author

Listed:
  • Martin Schulz

    (Lawrence Livermore National Laboratory)

  • Abhinav Bhatele

    (Lawrence Livermore National Laboratory)

  • David Böhme

    (Lawrence Livermore National Laboratory)

  • Peer-Timo Bremer

    (Lawrence Livermore National Laboratory)

  • Todd Gamblin

    (Lawrence Livermore National Laboratory)

  • Alfredo Gimenez

    (Lawrence Livermore National Laboratory
    University of California at Davis)

  • Kate Isaacs

    (Lawrence Livermore National Laboratory
    University of California at Davis)

Abstract

Performance data can be complex and potentially high dimensional. Further, it can be collected in multiple, independent domains. For example, one can measure code segments, hardware components, data structures, or an application’s communication structure. Performance analysis and visualization tools require access to this data in an easy way and must be able to specify relationships and mappings between these domains in order to provide users with intuitive, actionable performance analysis results. In this paper, we describe a data model that can represent such complex performance data, and we discuss how this model helps us to specify mappings between domains. We then apply this model to several use cases both for data acquisition and how it can be mapped into the model, and for performance analysis and how it can be used to gain insight into an application’s performance.

Suggested Citation

  • Martin Schulz & Abhinav Bhatele & David Böhme & Peer-Timo Bremer & Todd Gamblin & Alfredo Gimenez & Kate Isaacs, 2015. "A Flexible Data Model to Support Multi-domain Performance Analysis," Springer Books, in: Christoph Niethammer & José Gracia & Andreas Knüpfer & Michael M. Resch & Wolfgang E. Nagel (ed.), Tools for High Performance Computing 2014, edition 127, pages 211-229, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-16012-2_10
    DOI: 10.1007/978-3-319-16012-2_10
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