• DocumentCode
    1828051
  • Title

    A VLSI inner-product processor for real-time DSP applications

  • Author

    Starzyk, Janusz A. ; Chen, Chiung-Hsing

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
  • fYear
    1994
  • fDate
    20-22 Mar 1994
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    A VLSI design of a 12×12-bit parallel inner-product processor (IPP) for two´s complement multiplication is presented. The designed architecture and its driving algorithm makes an efficient use of all the array cells in order to reduce the computation time. Therefore, the time-area complexity of the designed IPP is proportional to N×m2×TFA for large N and is m times smaller than for a sequential computation on a single multiplier. An inner product of two N-dimensional vectors with m-bit words requires area proportional to m(m/2), and the delay time of (N+2m+log2N)×TFA, where TFA denotes the delay of a full adder. The design has been fabricated in 2-μm CMOS double-metal technology. An example application of the designed IPP for solution of a triangular system is presented
  • Keywords
    CMOS integrated circuits; VLSI; digital arithmetic; digital signal processing chips; parallel architectures; 12 bit; 2 micron; CMOS double-metal technology; VLSI; algorithm; architecture; array cells; computation time; delay time; full adder; parallel inner-product processor; real-time DSP applications; time-area complexity; triangular system; two´s complement multiplication; vectors; Adders; Application software; CMOS technology; Clocks; Computer architecture; Delay effects; Digital signal processing; Hardware; Signal processing algorithms; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1994., Proceedings of the 26th Southeastern Symposium on
  • Conference_Location
    Athens, OH
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-5320-5
  • Type

    conf

  • DOI
    10.1109/SSST.1994.287880
  • Filename
    287880