• DocumentCode
    2734008
  • Title

    Massively Parallel Automata in Euclidean Space-Time

  • Author

    Duchier, Denys ; Durand-Lose, Jerome ; Senot, Maxime

  • Author_Institution
    LIFO, Univ. d´´Orleans, Orléans, France
  • fYear
    2010
  • fDate
    27-28 Sept. 2010
  • Firstpage
    104
  • Lastpage
    109
  • Abstract
    In the cellular automata (CA) literature, discrete lines in discrete space-time diagrams are often idealized as Euclidean lines in order to design CA or analyze their dynamic behavior. In this paper, we present a parallel model of computation corresponding to this idealization: dimensionless particles move uniformely at fixed velocities along the real line and are transformed when they collide. Like CA, this model is parallel, uniform in space-time and uses local updating. The main difference is the use of the continuity of space and time, which we proceed to illustrate with a construction to solve Q-SAT, the satisfiability problem for quantified boolean formulae, in bounded space and time, and quadratic collision depth.
  • Keywords
    Boolean algebra; cellular automata; computability; Euclidean lines; Q-SAT; bounded space; bounded time; cellular automata; discrete lines; discrete space time diagram; massive parallel automata; quadratic collision depth; quantified boolean formulae; satisfiability problem; Complexity theory; Computational modeling; Decision trees; Space exploration; Structural beams; Turing machines; Abstract geometrical computation; Cellular automata; Continuous space-time; Massive parallelism; Model of computation; Signal machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems Workshop (SASOW), 2010 Fourth IEEE International Conference on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4244-8684-7
  • Type

    conf

  • DOI
    10.1109/SASOW.2010.23
  • Filename
    5729605