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Contradiction Between Parallelization Efficiency and Stochasticity in Cellular Automata Models of Reaction-Diffusion Phenomena

机译:反应扩散现象的细胞自动机模型中并行化效率与随机性的矛盾

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Simulation of reaction-diffusion phenomena are usually done using cellular automata with asynchronous mode of operation, which is in accordance with the stochastic nature of such processes, though does not provide acceptable parallelization efficiency, when the model is implemented on a supercomputer. The contradiction is resolved by endowing the asynchronous mode with some synchronization under the condition that the result is not distorted. How much of synchronization is admissible is not known. Moreover, it is not known what is the impact of synchronization on the parallelization efficiency. In the paper an attempt is made to answer these questions basing on the analysis of parallel experimental simulations of typical subclasses of reaction diffusion processes on a supercomputer.
机译:反应扩散现象的模拟通常是使用具有异步操作模式的细胞自动机完成的,这与此类过程的随机性是一致的,但是当在超级计算机上实现模型时,虽然不能提供可接受的并行化效率。通过在结果不失真的情况下赋予异步模式一定的同步性来解决矛盾。多少同步是允许的尚不清楚。而且,还不知道同步对并行化效率有什么影响。本文试图基于对超级计算机上反应扩散过程的典型子类的并行实验仿真的分析来回答这些问题。

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