• DocumentCode
    2159381
  • Title

    Data compiling for systems of affine recurrence equations

  • Author

    Mongenet, Catherine

  • Author_Institution
    Dept. d´´Inf., Univ. Louis Pasteur, Strasbourg, France
  • fYear
    1994
  • fDate
    22-24 Aug 1994
  • Firstpage
    212
  • Lastpage
    223
  • Abstract
    In order to get a parallel solution from a system of affine recurrence equations, a space-time transformation must first be determined. Such a transformation is characterized by a schedule and an allocation. In the context of data parallelism, efficient compilers require among other criteria appropriate data compiling techniques. These techniques should take into account the communication primitives of the target architecture (in particular broadcast primitives if any) and minimize the number of communications. The objective of this paper is to deal with these two questions (efficient use of broadcast capabilities and communication minimization) in order to determine efficient space-time transformations from systems of affine recurrence equations
  • Keywords
    equations; parallel algorithms; parallel programming; program compilers; programming theory; affine recurrence equations; broadcast capabilities; broadcast primitives; communication minimization; compilers; data compiling; data compiling techniques; data parallelism; parallel solution; schedule; space-time transformation; space-time transformations; Broadcasting; Computer architecture; Context modeling; Difference equations; Parallel architectures; Parallel processing; Parallel programming; Power system modeling; Processor scheduling; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application Specific Array Processors, 1994. Proceedings. International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6862
  • Print_ISBN
    0-8186-6517-3
  • Type

    conf

  • DOI
    10.1109/ASAP.1994.331802
  • Filename
    331802