• DocumentCode
    1112359
  • Title

    Fully static multiprocessor array realizability criteria for real-time recurrent DSP applications

  • Author

    Wang, Duen-Jeng ; Hu, Yu Hen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
  • Volume
    42
  • Issue
    5
  • fYear
    1994
  • fDate
    5/1/1994 12:00:00 AM
  • Firstpage
    1288
  • Lastpage
    1292
  • Abstract
    The paper considers real time implementation of recurrent digital signal processing algorithms on an application-specific multiprocessor system. The objective is to devise a periodic, fully static task assignment for a DSP algorithm under the constraint of data sampling period by assuming interprocessor communication delay is negligible. Toward this goal, the authors propose a novel algorithm unfolding technique called the generalized perfect rate graph (GPRG). They prove that a recurrent algorithm will admit a fully static multiprocessor implementation for a given initiation interval if and only if the corresponding iterative computational dependence graph of this algorithm is a GPRG. Compared with previous results, GPRG often leads to a smaller unfolding factor αGPRG
  • Keywords
    computational geometry; graph theory; iterative methods; multiprocessor interconnection networks; real-time systems; recursive functions; signal processing; GPRG; algorithm unfolding technique; application-specific multiprocessor system; data sampling period; fully static multiprocessor array realizability criteria; generalized perfect rate graph; initiation interval; interprocessor communication delay; iterative computational dependence graph; periodic fully static task assignment; real-time recurrent DSP applications; recurrent digital signal processing algorithms; unfolding factor; Clocks; Delay; Digital signal processing; Frequency estimation; Iterative algorithms; Real time systems; Signal processing; Signal processing algorithms; Signal sampling; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.295178
  • Filename
    295178