• DocumentCode
    3089760
  • Title

    Can trace-driven simulators accurately predict superscalar performance?

  • Author

    Black, Bryan ; Huang, Andrew S. ; Lipasti, Mikko H. ; Shen, John Paul

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1996
  • fDate
    7-9 Oct 1996
  • Firstpage
    478
  • Lastpage
    485
  • Abstract
    There are four crucial issues associated with performance simulators: simulator retargetability, simulator validation, simulation speed and simulation accuracy. The paper documents our experiences in developing performance simulators and our recent findings in using these simulators. We are concerned with all four of the crucial issues. Our first generation tool, VMW, focused on achieving retargetability. Our second generation tool, MW, significantly improved simulation speed. Recently we validated a PowerPC 604 simulator model, generated using MW against an actual PowerPC 604 hardware system. We also present results on simulating extremely long traces on our PowerPC 620 model and highlight potential inaccuracies that can result from trace sampling. As processor complexity continues to increase at a rapid rate and microarchitectures continue to become more speculative, it is not clear whether the trace driven paradigm of performance simulation can continue to effectively predict actual machine performance
  • Keywords
    parallel architectures; parallel machines; performance evaluation; virtual machines; MW; PowerPC 604 hardware system; PowerPC 604 simulator model; VMW; extremely long traces; first generation tool; machine performance; microarchitectures; performance simulation; performance simulators; processor complexity; retargetability; second generation tool; simulation accuracy; simulation speed; simulator retargetability; simulator validation; superscalar performance prediction; trace driven paradigm; trace driven simulators; trace sampling; Computational modeling; Computer simulation; Hardware; Microarchitecture; Power generation; Power system modeling; Predictive models; Sampling methods; Timing; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design: VLSI in Computers and Processors, 1996. ICCD '96. Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Austin, TX
  • ISSN
    1063-6404
  • Print_ISBN
    0-8186-7554-3
  • Type

    conf

  • DOI
    10.1109/ICCD.1996.563596
  • Filename
    563596