• DocumentCode
    2665944
  • Title

    Dynamic Strands: Collapsing Speculative Dependence Chains for Reducing Pipeline Communication

  • Author

    Sassone, Peter G. ; Wills, D. Scott

  • Author_Institution
    Georgia Institute of Technology
  • fYear
    2004
  • fDate
    04-08 Dec. 2004
  • Firstpage
    7
  • Lastpage
    17
  • Abstract
    In the modern era of wire-dominated architectures, specific effort must be made to reduce needless communication within out-of-order pipelines while still maintaining binary compatibility. To ease pressure on highly-connected elements such as the issue logic and bypass network, we propose the dynamic detection and speculative execution of instruction strands-linear chains of dependent instructions without intermediate fan-out. The hardware required for detecting these chains is simple and resides off the critical path of the pipeline, and the execution targets are the normal ALUs with a self-bypass mode. By collapsing these strings of dependencies into atomic macro-instructions, the efficiency of the issue queue and reorder buffer can be increased. Our results show that over 25% of all dynamic ALU instructions can be grouped, decreasing both the average reorder buffer occupancy and issue queue occupancy by over a third. Additionally, these strands have several properties which make them amenable to simple performance optimizations. Our experiments show average IPC increases of 17% on a four-wide machine and 20% on an eight-wide machine in Spec2000int and Mediabench applications. Finally, strands ease the IPC penalties of multicycle issue and bypass by reducing dependency pressures, providing opportunity for clock frequency gains as well.
  • Keywords
    Clocks; Computer aided instruction; Computer architecture; Delay; Frequency; Hardware; Instruction sets; Logic; Pipelines; Reduced instruction set computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microarchitecture, 2004. MICRO-37 2004. 37th International Symposium on
  • ISSN
    1072-4451
  • Print_ISBN
    0-7695-2126-6
  • Type

    conf

  • DOI
    10.1109/MICRO.2004.16
  • Filename
    1550978