• DocumentCode
    3206693
  • Title

    Design and implementation of the blue gene/P snoop filter

  • Author

    Salapura, Valentina ; Blumrich, Matthias ; Gara, Alan

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY
  • fYear
    2008
  • fDate
    16-20 Feb. 2008
  • Firstpage
    5
  • Lastpage
    14
  • Abstract
    As multi-core processors evolve, coherence traffic between cores is becoming problematic, both in terms of performance and power. The negative effects of coherence (snoop) traffic can be significantly mitigated through snoop filtering. Shielding each cache with a device that can squash snoop requests for addresses known not to be in cache improves performance significantly for caches that cannot perform normal load and snoop lookups simultaneously. In addition, reducing snoop lookups yields power savings. This paper describes the design of the Blue Gene/P snoop filters, and presents hardware measurements to demonstrate their effectiveness. The Blue Gene/P snoop filters combine stream registers and snoop caches to capture both the locality of snoop addresses and their streaming behavior. Simulations of SPLASH-2 benchmarks illustrate tradeoffs and strengths of these two techniques. Their combination is shown to be most effective, eliminating 94-99% of all snoop requests using very few stream registers and snoop cache lines. This translates into an average performance improvement of almost 20% for the NAS benchmarks running on an actual Blue Gene/P system.
  • Keywords
    computer architecture; filters; mainframes; parallel machines; SPLASH-2 benchmarks; blue gene-P snoop filter; coherence traffic negative effects; multicore processors; snoop lookups; Degradation; Delay; Filtering; Filters; Frequency; Hardware; Multicore processing; Registers; Supercomputers; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computer Architecture, 2008. HPCA 2008. IEEE 14th International Symposium on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1530-0897
  • Print_ISBN
    978-1-4244-2070-4
  • Type

    conf

  • DOI
    10.1109/HPCA.2008.4658623
  • Filename
    4658623