• DocumentCode
    2415418
  • Title

    Analysis of 2D operators on topographic and non-topographic processor architectures

  • Author

    Zarándy, Ákos ; Rekeczky, Csaba ; Földesy, Péter

  • Author_Institution
    MTA-SZTAKI Budapest, Budapest
  • fYear
    2008
  • fDate
    14-16 July 2008
  • Firstpage
    57
  • Lastpage
    62
  • Abstract
    2D operators were categorized based on their implementation methods on different low-power topographic and non-topographic single-chip processor architectures. The implementation methods of the 2D operators in the individual categories are shown, and their processor utilization efficiency is analyzed. The execution times of the basic operators on the different architectures are calculated, the power efficiency figures and the frame-rate versus resolution chart are derived.
  • Keywords
    cellular neural nets; parallel architectures; 2D operators; nontopographic processor architectures; processor utilization efficiency; topographic processor architectures; Cellular neural networks; Charge coupled devices; Computer architecture; Libraries; Parallel architectures; Shape; Skeleton; Testing; Xenon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2008. CNNA 2008. 11th International Workshop on
  • Conference_Location
    Santiago de Compostela
  • Print_ISBN
    978-1-4244-2089-6
  • Electronic_ISBN
    978-1-4244-2090-2
  • Type

    conf

  • DOI
    10.1109/CNNA.2008.4588650
  • Filename
    4588650