• DocumentCode
    2791949
  • Title

    Integrating Performance Tools with Large-Scale Scientific Software

  • Author

    Wu, Meng-Shiou ; Bentz, Jonathan L. ; Peng, Fang ; Sosonkina, Masha ; Gordon, Mark S. ; Kendall, Ricky A.

  • Author_Institution
    Scalable Comput. Lab., Ames Lab., IA
  • fYear
    2007
  • fDate
    26-30 March 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Modern performance tools provide methods for easy integration into an application for performance evaluation. For a large-scale scientific software package that has been under development for decades and with developers around the world, several obstacles must be overcome in order to utilize modern performance tools and explore performance bottlenecks. In this paper, we present our experience in integrating performance tools with one popular computational chemistry package. We discuss the difficulties we encountered and the mechanisms developed to integrate performance tools into this code. With performance tools integrated, we show one of the initial performance evaluation results, and discuss what other challenges we are facing to conduct performance evaluation for large-scale scientific packages.
  • Keywords
    chemistry computing; software packages; computational chemistry package; large-scale scientific software package; performance tool integration; Algorithms; Chemistry; Instruments; Laboratories; Large scale integration; Large-scale systems; Software packages; Software performance; Software tools; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    1-4244-0910-1
  • Electronic_ISBN
    1-4244-0910-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2007.370567
  • Filename
    4228295