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An FPGA design for the stochastic Greenberg-Hastings cellular automata

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4 Author(s)
Vlassopoulos, N. ; LORIA MAIA Team, INRIA Nancy-Grand Est, Nancy, France ; Fatès, N. ; Berry, H. ; Girau, Bernard

The stochastic Greenberg-Hastings cellular automaton is a model that mimics the propagation of reaction-diffusion waves in active media. Notably, this model undergoes a phase transition when the probability of excitation of a cell varies. We developed a specific FPGA design to study the critical behavior of this model. Using dedicated architectural optimizations, we obtain a significant speed-up with respect to software simulation for lattice sizes of 512×512. We exploited this speed-up to obtain improved estimations of the critical threshold. Our results indicate the existence of an asymptotic value of this threshold when the number of cell states increases.

Published in:

High Performance Computing and Simulation (HPCS), 2010 International Conference on

Date of Conference:

June 28 2010-July 2 2010