• DocumentCode
    3035370
  • Title

    Parallelism in the computation of the FFT and the WFTA

  • Author

    Nawab, Hamid ; McClellan, James H.

  • Author_Institution
    Massachusetts Institute of Technology, Cambridge, Massachusetts
  • Volume
    4
  • fYear
    1979
  • fDate
    28946
  • Firstpage
    514
  • Lastpage
    517
  • Abstract
    Arithmetic concurrencies, such as those found in special-purpose fast Fourier transform (FFT) hard-ware, are surveyed and categorized. Similar structures are then derived for the Winograd Fourier transform algorithm (WFTA). Relative time-efficiency plots are obtained for the 1024-point radix-4 FFT and the 1008-point WFTA as a function of the number of real arithmetic operations executable in parallel. This comparison shows that the relative time efficiency of the two algorithms in sequential computations generally carries over to cases where arithmetic parallelism is exploited.
  • Keywords
    Arithmetic; Concurrent computing; Costs; Fast Fourier transforms; Fourier transforms; Gold; Hardware; Laboratories; Parallel processing; Particle measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1979.1170655
  • Filename
    1170655