• DocumentCode
    3345881
  • Title

    Energy efficient cluster co-processors [3G wireless applications]

  • Author

    Ibrahim, Ali ; Parker, Mike ; Davis, Al

  • Author_Institution
    Sch. of Comput., Utah Univ., Salt Lake City, UT, USA
  • Volume
    5
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    New 3G wireless algorithms require more performance than can be currently provided by embedded processors. ASICs provide the necessary performance but are costly to design and sacrifice generality. This paper introduces a clustered VLIW coprocessor approach that organizes the execution and storage resources differently than a traditional general-purpose processor or DSP. The execution units of the coprocessor are clustered and embedded in a rich set of communication resources. Fine grain control of these resources is imposed by a wide-word horizontal micro-code program. The advantages of this approach are quantified on a suite of six algorithms that are taken from both traditional DSP applications and from the new 3G cellular telephony domain. The result is surprising. The execution clusters retain much of the generality of a conventional processor while simultaneously improving performance by one to two orders of magnitude and by reducing energy-delay by three to four orders of magnitude when compared to a conventional embedded processor such as the Intel XScale.
  • Keywords
    3G mobile communication; computer architecture; coprocessors; multiprocessing systems; 3G cellular telephony; 3G wireless algorithms; clustered VLIW coprocessor; embedded communication resources; energy efficient cluster co-processors; energy-delay reduction; execution clusters; fine grain resource control; wide-word horizontal micro-code program; Application specific integrated circuits; Clustering algorithms; Communication system control; Coprocessors; Digital signal processing; Energy efficiency; Pipelines; Signal processing; Signal processing algorithms; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1327033
  • Filename
    1327033