• DocumentCode
    2543996
  • Title

    The Swarm Computer, an analog cellular-swarm hybrid architecture

  • Author

    Dolan, Ryanne ; DeSouza, Guilherme ; Caputo, Dan

  • Author_Institution
    Phys. Depts., Univ. of Missouri, Columbia, MO, USA
  • fYear
    2010
  • fDate
    23-25 Aug. 2010
  • Firstpage
    119
  • Lastpage
    124
  • Abstract
    The “killer apps” of cellular and swarm computing are image processing and optimization, respectively; however, applying these platforms to general-purpose computing remains impractical. Designing systems within the restrictive framework of cellular automata is extremely difficult, though often very efficient and scalable. On the other hand, swarm networks are very powerful but difficult to implement in hardware. Here we introduce a hybrid model, the Swarm Computer, which is both practical to program and efficient to implement. Applications in astrophysics and image processing are considered.
  • Keywords
    astronomy computing; cellular automata; image processing; particle swarm optimisation; analog cellular-swarm hybrid architecture; astrophysics; cellular automata; image processing; optimization; swarm computer; Automata; Cellular neural networks; Complexity theory; Computational modeling; Computers; Image processing; Runtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems (HIS), 2010 10th International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4244-7363-2
  • Type

    conf

  • DOI
    10.1109/HIS.2010.5600079
  • Filename
    5600079