• DocumentCode
    3383971
  • Title

    Floating-point division and square root implementation using a Taylor-series expansion algorithm

  • Author

    Kwon, Taek-Jun ; Sondeen, Jeff ; Draper, Jeff

  • Author_Institution
    Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA
  • fYear
    2008
  • fDate
    Aug. 31 2008-Sept. 3 2008
  • Firstpage
    702
  • Lastpage
    705
  • Abstract
    Hardware support for floating-point (FP) arithmetic is an essential feature of modern microprocessor design. Although division and square root are relatively infrequent operations in traditional general-purpose applications, they are indispensable and becoming increasingly important in many modern applications. In this paper, a fused floating-point multiply/divide/square root unit based on Taylor-series expansion algorithm is presented. The implementation results of the proposed fused unit based on standard cell methodology in IBM 90 nm technology exhibits that the incorporation of square root function to an existing multiply/divide unit requires only a modest 23% area increase and the same low latency for divide and square root operation can be achieved (12 cycles). The proposed arithmetic unit also exhibits a reasonably good area-performance balance.
  • Keywords
    VLSI; floating point arithmetic; series (mathematics); Taylor-series expansion algorithm; VLSI; arithmetic unit; floating-point division; square root implementation; standard cell methodology; Algorithm design and analysis; Application software; Concurrent computing; Delay; Embedded computing; Floating-point arithmetic; Frequency; Hardware; Iterative algorithms; Microprocessors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2008. ICECS 2008. 15th IEEE International Conference on
  • Conference_Location
    St. Julien´s
  • Print_ISBN
    978-1-4244-2181-7
  • Electronic_ISBN
    978-1-4244-2182-4
  • Type

    conf

  • DOI
    10.1109/ICECS.2008.4674950
  • Filename
    4674950