• DocumentCode
    2772146
  • Title

    Adaptive Power Optimization of On-chip SNUCA Cache on Tiled Chip Multicore Architecture Using Remap Policy

  • Author

    Dani, Aparna Mandke ; Amrutur, Bharadwaj ; Srikant, Y.N.

  • Author_Institution
    Indian Inst. of Sci., Bangalore, India
  • fYear
    2011
  • fDate
    26-27 Oct. 2011
  • Firstpage
    12
  • Lastpage
    17
  • Abstract
    Advances in technology have increased the number of cores and size of caches present on chip multicore platforms(CMPs). As a result, leakage power consumption of on-chip caches has already become a major power consuming component of the memory subsystem. We propose to reduce leakage power consumption in static nonuniform cache architecture(SNUCA) on a tiled CMP by dynamically varying the number of cache slices used and switching off unused cache slices. A cache slice in a tile includes all cache banks present in that tile. Switched-off cache slices are remapped considering the communication costs to reduce cache usage with minimal impact on execution time. This saves leakage power consumption in switched-off L2 cache slices. On an average, there map policy achieves 41% and 49% higher EDP savings compared to static and dynamic NUCA (DNUCA) cache policies on a scalable tiled CMP, respectively.
  • Keywords
    cache storage; microprocessor chips; multiprocessing systems; power aware computing; power consumption; Remap policy; adaptive power optimization; cache bank; cache slice; leakage power consumption; memory subsystem; on-chip SNUCA cache; static nonuniform cache architecture; tiled chip multicore architecture; Clocks; Instruction sets; Monitoring; Power demand; Switches; System-on-a-chip; Tiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Architecture and Multi-Core Applications (WAMCA), 2011 Second Workshop on
  • Conference_Location
    Vitoria, Espirito Santo
  • Print_ISBN
    978-1-4673-0221-0
  • Type

    conf

  • DOI
    10.1109/WAMCA.2011.14
  • Filename
    6112994