Abstract
In this paper we present how Cellular Automata model can be implemented for processing on Graphics Processing Unit (GPU). Recently, graphics processors have gained a lot of interest as an efficient architecture for general-purpose computation. Cellular Automata algorithms that are inherently parallel give the opportunity to achieve very high efficiency when they are implemented on GPUs. We demonstrate how existing model of water flow can be ported to GPU environment with OpenCL programming framework. Sample simulation results and performance evaluations are included. © 2012 Springer-Verlag.
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Topa, P., & Młocek, P. (2012). GPGPU implementation of cellular automata model of water flow. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7203 LNCS, pp. 630–639). https://doi.org/10.1007/978-3-642-31464-3_64
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