• DocumentCode
    168305
  • Title

    A Scaled-Up Dot Product Processor for Searching

  • Author

    Biswas, Arijit

  • Author_Institution
    Cisco Syst. Inc., San Jose, CA, USA
  • fYear
    2014
  • fDate
    10-12 June 2014
  • Firstpage
    1041
  • Lastpage
    1044
  • Abstract
    Dot product of large vectors is speed critical operation in a search engine. We present a dot product processor which can handle large vectors having 10000 components. Our architecture can finish computation in less than 80 clock cycles on average. This was achieved by a simpler circuitry instead of traditional Bloom Filters.
  • Keywords
    data structures; search engines; Bloom filters; scaled-up dot product processor; search engine; Clocks; Complexity theory; Computer architecture; Hardware; Search engines; Semantics; Vectors; Dot product hardware accelerator; comparison of leaf-labelled trees; fine grained parallelization; information search and retrieval; large vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Consumer and Control (IS3C), 2014 International Symposium on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/IS3C.2014.272
  • Filename
    6846064