• DocumentCode
    2223481
  • Title

    Adaptive loop transformations for scientific programs

  • Author

    Gupta, Rajiv ; Bodik, Rastislav

  • Author_Institution
    Dept. of Comput. Sci., Pittsburgh Univ., PA, USA
  • fYear
    1995
  • fDate
    25-28 Oct 1995
  • Firstpage
    368
  • Lastpage
    375
  • Abstract
    To facilitate the efficient execution of scientific programs, parallelizing compilers apply a wide range of loop transformations. In some situations it may not be possible to determine the applicability and usefulness of the transformations at compile time. We develop adaptive versions of various loop transformations which lend themselves to efficient application at run time. instead of explicitly applying a transformation at compile time, we generate adaptive code which is able to behave like the transformed code, if so desired, at run time. Therefore an adaptive program can be viewed as expressing multiple ways of executing a program. The selection of the particular execution is based upon run time information. Adaptive programs offer a more practical and powerful alternative to multiversion programs
  • Keywords
    natural sciences; natural sciences computing; parallel programming; parallelising compilers; resource allocation; scheduling; adaptive code; adaptive loop transformations; adaptive program; adaptive programs; adaptive versions; compiler directed scheduling; data locality; efficient execution; load balancing; multiversion programs; parallelizing compilers; run time information; scientific programs; Adaptive coding; Cloning; Computer science; Costs; Load management; Parallel processing; Performance analysis; Runtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1995. Proceedings. Seventh IEEE Symposium on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1063-6374
  • Print_ISBN
    0-81867195-5
  • Type

    conf

  • DOI
    10.1109/SPDP.1995.530707
  • Filename
    530707