• DocumentCode
    2176076
  • Title

    A Performance Tuning Strategy for Complex Parallel Application

  • Author

    Guevara, A. ; Cesar, E. ; Sorribes, J. ; Margalef, T. ; Luque, E. ; Moreno, A.

  • Author_Institution
    Comput. Archit. & Oper. Syst., Univ. Autonoma de Barcelona, Bellaterra, Spain
  • fYear
    2010
  • fDate
    17-19 Feb. 2010
  • Firstpage
    103
  • Lastpage
    110
  • Abstract
    Defining performance models associated with the application structure has been proven a useful strategy for implementing dynamic tuning tools. However, for extending this strategy to more complex applications (those composed by different structures) it must integrate a policy for the distribution of the resources among the different application components. Consequently, we propose to take advantage of the knowledge of these models and combine them with a resource management policy for obtaining a global model. In this sense, this work constitutes the ongoing effort in the development of performance models for dynamic tuning.
  • Keywords
    parallel processing; tuning; complex parallel application; dynamic tuning; performance tuning strategy; resource distribution; resource management policy; Application software; Computer architecture; Monitoring; Operating systems; Parallel processing; Parallel programming; Performance analysis; Pipelines; Proposals; Resource management; Master/Worker; Pipeline; composite models; dynamic tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-Based Processing (PDP), 2010 18th Euromicro International Conference on
  • Conference_Location
    Pisa
  • ISSN
    1066-6192
  • Print_ISBN
    978-1-4244-5672-7
  • Electronic_ISBN
    1066-6192
  • Type

    conf

  • DOI
    10.1109/PDP.2010.34
  • Filename
    5452503