• DocumentCode
    2190913
  • Title

    Why value prediction is limited?

  • Author

    Markovski, J. ; Gusev, M.

  • Author_Institution
    Fac. of Natural Sci. & Math., Ss. Cyril & Methodius Univ., Skopje
  • fYear
    2004
  • fDate
    7-10 June 2004
  • Firstpage
    663
  • Abstract
    True data dependences are considered as fundamental limits of extractable instruction level parallelism (ILP). Principles of value locality and value predictability offer a solution to overcome these problems by supporting various value prediction techniques. However, despite the numerous reports on the benefits of value prediction there is still no commercial processor that employs this technique. In this paper we overview the main reasons and discuss why value prediction is not implemented in contemporary processors. After this analysis we discuss its further possible application
  • Keywords
    data flow computing; instruction sets; multiprocessing systems; parallel architectures; parallel programming; ILP; contemporary processors; extractable instruction level parallelism; true data dependences; value locality; value prediction techniques; Cache memory; Data mining; Delay; Hardware; Information technology; Mathematics; Microprocessors; Pipelines; Predictive models; Registers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces, 2004. 26th International Conference on
  • Conference_Location
    Cavtat
  • Print_ISBN
    953-96769-9-1
  • Type

    conf

  • Filename
    1372497