• DocumentCode
    3775164
  • Title

    Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition

  • Author

    Yunsup Lee;David Sheffield;Andrew Waterman;Michael Anderson;Kurt Keutzer;Krste Asanovic

  • Author_Institution
    University of California, Berkeley, United States
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    As power and energy consumption have become the key design constraint of mobile systems, mobile system-on-chip (SoC) architects have dedicated a progressively larger area budget to custom accelerators: graphics processors, audio/video codecs, and image signal processors abound. Fixed-function accelerators now occupy more than half of the die area of these chips [2], and we foresee this trend only to progress in the near future.
  • Keywords
    "Program processors","Speech recognition","Speech recognition","Energy consumption","Hidden Markov models"
  • Publisher
    ieee
  • Conference_Titel
    Hot Chips 25 Symposium (HCS), 2013 IEEE
  • Type

    conf

  • DOI
    10.1109/HOTCHIPS.2013.7478326
  • Filename
    7478326