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
Link To Document :
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