• DocumentCode
    2286865
  • Title

    CMOS design of cellular APAPs and FPAPAPs: an overview

  • Author

    Rdriguez-Vazquez, A.

  • Author_Institution
    Instituto de Microelectron. de Sevilla-CNM-CSIC, Sevilla
  • fYear
    2002
  • fDate
    22-24 Jul 2002
  • Firstpage
    507
  • Lastpage
    511
  • Abstract
    CNN-based analog visual microprocessors have similarities with the so-called Single Instruction Multiple Data systems, although they work directly on analog signal representations obtained through embedded optical sensors and hence do not need a frontend sensory plane or analog-to-digital converters. The architecture of these visual microprocessors is illustrated in the paper through two prototype chips, namely: ACE4K and ACE16K. In both cases, as in other related chips the architecture includes a core array of interconnected elementary processing units, surrounded by a global circuitry.
  • Keywords
    CMOS analogue integrated circuits; cellular neural nets; microprocessor chips; neural chips; ACE16K; ACE4K; CMOS design; Single Instruction Multiple Data; analog signal representations; analog visual microprocessors; cellular neural network; embedded optical sensors; interconnected elementary processing units; neural chips; Analog-digital conversion; CMOS technology; Data systems; Energy consumption; Integrated circuit interconnections; Microprocessor chips; Optical sensors; Prototypes; Silicon; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
  • Print_ISBN
    981-238-121-X
  • Type

    conf

  • DOI
    10.1109/CNNA.2002.1035088
  • Filename
    1035088