• DocumentCode
    2732188
  • Title

    Evaluating ASIC, DSP, and RISC architectures for embedded applications

  • Author

    Campbell, Marc E.

  • Author_Institution
    Northrop Grumman Corp., USA
  • fYear
    1998
  • fDate
    30 Mar-3 Apr 1998
  • Firstpage
    600
  • Lastpage
    603
  • Abstract
    Mathematical analysis and empirical evaluation of the solid state equation PowerCMOS=P=C·V2 ·f·N·%N is presented in this paper which identifies a measurable metric for evaluating relative advantages of ASIC, DSP and RISC architectures for embedded applications. Relationships are examined which can help predict relative future architecture performance as new generations of CMOS solid state technology become available. In particular, performance/watt is shown to be an architecture-technology metric which can be used to: calibrate ASIC, DSP and RISC performance density potential relative to solid state technology generations; measure and evaluate architectural changes; and project an architecture performance density roadmap
  • Keywords
    CMOS logic circuits; application specific integrated circuits; digital signal processing chips; mathematical analysis; parallel architectures; performance evaluation; real-time systems; reduced instruction set computing; ASIC; CMOS solid state technology; DSP; RISC; application specific integrated circuits; architecture-technology metric; digital signal processors; embedded applications; mathematical analysis; parallel architecture performance; solid state equation; Application specific integrated circuits; CMOS technology; Density measurement; Digital signal processing; Equations; Mathematical analysis; Particle measurements; Power measurement; Reduced instruction set computing; Solid state circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing Symposium, 1998. IPPS/SPDP 1998. Proceedings of the First Merged International ... and Symposium on Parallel and Distributed Processing 1998
  • Conference_Location
    Orlando, FL
  • ISSN
    1063-7133
  • Print_ISBN
    0-8186-8404-6
  • Type

    conf

  • DOI
    10.1109/IPPS.1998.669987
  • Filename
    669987