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

机译:反应扩散现象蜂窝自动机模型平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使用具有异步操作模式的蜂窝自动机进行,这是根据这种过程的随机性质,但是当模型在超级计算机上实现时不提供可接受的并行化效率。通过在结果不扭曲的条件下赋予异步模式,通过赋予异步模式来解决矛盾。可以录取多大的同步是未知的。此外,还不知道同步对平行化效率的影响是什么。在本文中,试图回答这些问题,基于对超级计算机上反应扩散过程的典型亚类的平行实验模拟的分析。

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