• DocumentCode
    2035746
  • Title

    Fast Enumeration of Solutions for Data Dependence Analysis and Data Locality Optimization

  • Author

    Eisenbeis, C. ; Temam, O. ; Wijshoff, H.

  • Author_Institution
    INRIA, France
  • Volume
    3
  • fYear
    1993
  • fDate
    16-20 Aug. 1993
  • Firstpage
    299
  • Lastpage
    306
  • Abstract
    Most of the sophisticated optimization tools dealing with data dependence analysis, parallelization and data locality exploitation cannot provide satisfactory solutions to a number of problems because they are, in general, unable to precisely handle some complex systems of linear equations coming from dependence equations between array subscripts. For such cases, these algorithms either provide rough estimates or resort to unefficient and therefore costly enumeration strategies. In this paper, we present an efficient technique, named Fast Determination, for dealing with the enumeration problem which degrades the behavior of sophisticated algorithms. Incorporating Fast Determination would enhance the performance and accuracy of existing algorithms, and widen their scope of application.
  • Keywords
    Algorithm design and analysis; Computer science; Data analysis; Degradation; Equations; Integer linear programming; Linear algebra; Parallel processing; Testing; Tin; data dependence analysis; data locality; enumeration.; integer linear programming; linear Diophantine equations; parallelization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 1993. ICPP 1993. International Conference on
  • Conference_Location
    Syracuse, NY, USA
  • ISSN
    0190-3918
  • Print_ISBN
    0-8493-8983-6
  • Type

    conf

  • DOI
    10.1109/ICPP.1993.88
  • Filename
    4134287