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IEEE 4th International Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW~'10): Spatial Computing Workshop (SCW '10), Budapest : Hungary (2010)
Massively Parallel Automata in Euclidean Space-Time
Denys Duchier 1, Jérôme Durand-Lose 1, Maxime Senot 1
(2010)

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.
1:  Laboratoire d'Informatique Fondamentale d'Orléans (LIFO)
Université d'Orléans : EA4022 – Ecole Nationale Supérieure d'Ingénieurs de Bourges
GAMoC & CA (LIFO)
Computer Science/Computational Complexity

Computer Science/Logic in Computer Science
Abstract geometrical computation – Signal machine – Continuous space-time – Cellular automata – Massive parallelism – Model of computation.
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