• DocumentCode
    1621464
  • Title

    Going the distance for TLB prefetching: an application-driven study

  • Author

    Kandiraju, Gokul B. ; Sivasubramaniam, Anand

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    195
  • Lastpage
    206
  • Abstract
    The importance of the translation lookaside buffer (TLB) on system performance is well known. There is a large body of literature on prefetching for caches, and it is not clear how they can be adapted (or if the issues are different) for TLBs, how well suited they are for TLB prefetching, and how they compare with the recency prefetching mechanism. This paper presents the first detailed comparison of different prefetching mechanisms (previously proposed for caches) - arbitrary stride prefetching and Markov prefetching -for TLB entries, and evaluates their pros and cons. In addition, this paper proposes a novel prefetching mechanism, called distance prefetching, that attempts to capture patterns in the reference behavior in a smaller space than earlier proposals. Using detailed simulations of a wide variety of applications (56 in all) from different benchmark suites and all the, SPEC CPU2000 applications, this paper demonstrates the benefits of distance prefetching
  • Keywords
    memory architecture; storage management; Markov prefetching; access times; arbitrary stride prefetching; distance prefetching; memory hierarchy; simulation; translation lookaside buffer; Application software; Computer science; Costs; Engineering profession; Hardware; Kernel; Operating systems; Prefetching; Proposals; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Architecture, 2002. Proceedings. 29th Annual International Symposium on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1063-6897
  • Print_ISBN
    0-7695-1605-X
  • Type

    conf

  • DOI
    10.1109/ISCA.2002.1003578
  • Filename
    1003578