• DocumentCode
    3547769
  • Title

    Various implementations of topographic, sensory, cellular wave computers

  • Author

    Zarándy, Ákos ; Földesy, Péter ; Szolgay, Peter ; Tökés, Szabolcs ; Rekeczky, Csaba ; Roska, Tamás

  • Author_Institution
    Analogical & Neural Comput. Lab., MTA-SZTAKI, Budapest, Hungary
  • fYear
    2005
  • fDate
    23-26 May 2005
  • Firstpage
    5802
  • Abstract
    The cellular wave computer architecture, based on the CNN universal machine principle, has been implemented recently in many different physical forms. The mixed mode CMOS, the emulated digital (cell wise or as aggregated arrays), FPGA, DSP, as well as optical implementations are the main examples. In many cases, the sensory array is integrated as well. The new self contained unit, called Bi-i, winning the product of the year title at the Vision 2003 in Stuttgart as the fastest camera-computer, shows the application interest and impact being capable of sensing-computing with 50000 frames per second. In this paper a clear and concise comparison is presented between the various implementation modes.
  • Keywords
    VLSI; array signal processing; cellular neural nets; computer vision; digital signal processing chips; field programmable gate arrays; neural chips; Bi-i; CNN universal machine; DSP; FPGA; VLSI; camera-computer; cellular wave computer architecture; sensory array; topographic cellular wave computers; Biology computing; Biomedical optical imaging; CMOS technology; Computer architecture; Optical arrays; Optical feedback; Optical sensors; Physics computing; Sensor arrays; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
  • Print_ISBN
    0-7803-8834-8
  • Type

    conf

  • DOI
    10.1109/ISCAS.2005.1465957
  • Filename
    1465957