Abstract
Simulating spatial dynamics in physics by Cellular Automata (CA) requires very large computation power, and, hence, CA simulation algorithms are to be implemented on multiprocessors. The preconceived opinion, that no much effort is required to obtain highly efficient coarse grained parallel CA algorithm, is not always true. In fact, a great variety of CA modifications coming into practical use need appropriate, sometimes sophisticated, methods of CA algorithms parallel implementation. Proceeding from the above a general approach to CA parallelization, based on domain decomposition correctness conditions, is formulated. Starting from the correctness conditions particular parallelization methods are developed for the main classes of CA simulation models: synchronous CA with multi-cell updating rules, asynchronous probabilistic CA, and CA compositions. Examples and experimental results are given for each case.
Supported by 1)Presidium of Russian Academy of Sciences, Basic Research Program N 14.16 (2006), 2) Siberian Branch of Russian Academy of Sciences, Interdisciplinary Project 29 (2006).
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Bandman, O. (2007). Coarse-Grained Parallelization of Cellular-Automata Simulation Algorithms. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2007. Lecture Notes in Computer Science, vol 4671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73940-1_38
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DOI: https://doi.org/10.1007/978-3-540-73940-1_38
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