• DocumentCode
    3080424
  • Title

    A novel tag access scheme for low power L2 cache

  • Author

    Park, Hyunsun ; Yoo, Sungjoo ; Lee, Sunggu

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Pohang Univ. of Sci. & Technol. (Postech), Pohang, South Korea
  • fYear
    2011
  • fDate
    14-18 March 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Tag comparisons occupy a significant portion of cache power consumption in the highly associative cache such as L2 cache. In our work, we propose a novel tag access scheme which applies a partial tag-enhanced Bloom filter to reduce tag comparisons by detecting per-way cache misses. The proposed scheme also classifies cache data into hot and cold data and the tags of hot data are compared earlier than those of cold data exploiting the fact that most of cache hits go to hot data. In addition, the power consumption of each tag comparison can be further reduced by dividing the tag comparison into two micro-steps where a partial tag comparison is performed first and, only if the partial tag comparison gives a partial hit, then the remaining tag bits are compared. We applied the proposed scheme to an L2 cache with 10 programs from SPEC2000 and SPEC2006. Experimental results show average 23.69% and 8.58% reduction in cache energy consumption compared with the conventional serial tag-data access and the other existing methods, respectively.
  • Keywords
    cache storage; content-addressable storage; low-power electronics; SPEC2000; SPEC2006; cache data classification; cache power consumption; cold data; highly associative cache; hot data; low power L2 cache; partial tag-enhanced Bloom filter; per-way cache miss detection; serial tag-data access; tag access scheme; tag comparison; Accuracy; Clocks; Energy consumption; Estimation; Power demand; Radiation detectors; Random access memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation & Test in Europe Conference & Exhibition (DATE), 2011
  • Conference_Location
    Grenoble
  • ISSN
    1530-1591
  • Print_ISBN
    978-1-61284-208-0
  • Type

    conf

  • DOI
    10.1109/DATE.2011.5763108
  • Filename
    5763108