• DocumentCode
    1681650
  • Title

    A framework for automated performance bottleneck detection

  • Author

    Chung, I-Hsin ; Cong, Guojing ; Klepacki, David ; Sbaraglia, Simone ; Seelam, Seetharami ; Wen, Hui-Fang

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown, NY
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, we present the architecture design and implementation of a framework for automated performance bottleneck detection. The framework analyzes the time-spent distribution in the application and discovers the performance bottlenecks by using given bottleneck definitions. The user can query the application execution performance to identify performance problems. The design of the framework is flexible and extensible so it can be tailored based on the actual application execution environment and performance tuning requirement. To demonstrate the usefulness of the framework, we apply the framework on a practical DARPA application and show how it helps to identify performance bottlenecks. The framework helps to automate the performance tuning process and improve the user´s productivity.
  • Keywords
    program diagnostics; software architecture; DARPA; architecture design; automated performance bottleneck detection; performance tuning requirement; time-spent distribution; Application software; Astrophysics; Biology computing; Computational biology; Computer architecture; Data analysis; High performance computing; Instruments; Performance analysis; Productivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on
  • Conference_Location
    Miami, FL
  • ISSN
    1530-2075
  • Print_ISBN
    978-1-4244-1693-6
  • Electronic_ISBN
    1530-2075
  • Type

    conf

  • DOI
    10.1109/IPDPS.2008.4536182
  • Filename
    4536182