• DocumentCode
    2592142
  • Title

    Spread and folded architectures for FFT

  • Author

    Vacher, André ; Guyot, Alain

  • Author_Institution
    CNRS, Univ. Joseph Fourier, Grenoble, France
  • fYear
    1995
  • fDate
    12-14 Mar 1995
  • Firstpage
    456
  • Lastpage
    459
  • Abstract
    Computing a Fourier transform with a parallel architecture of serial operators needs a lot of implementation area to obtain the high performances promised with this method. Allocating processors to each step of the computation or computing only one step at the same time is one of the problems to solve. The degree of integration of up-to-date chips promises a realistic implementation of such solutions. Accuracy, area, computation time are the parameters to study before choosing a method in relation to the number of samples of the working space
  • Keywords
    fast Fourier transforms; parallel architectures; FFT; Fourier transform; folded architectures; parallel architecture; processor allocation; spread architectures; Arithmetic; Computer aided manufacturing; Computer architecture; Concurrent computing; Data flow computing; Laboratories; Parallel architectures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1995., Proceedings of the Twenty-Seventh Southeastern Symposium on
  • Conference_Location
    Starkville, MS
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-6985-3
  • Type

    conf

  • DOI
    10.1109/SSST.1995.390540
  • Filename
    390540