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Solving million of differential equations parallelly with cellular automata

机译:与元胞自动机并行求解一百万个微分方程

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Parallel computing has been kept an important subject for two decades. Investigations have been made in two approaches: how to execute program faster on parallel computer and how to describe problem easier with parallel programming. As a parallel computing model different from the usual way, cellular automata has been applied in many fields to simulate natural phenomena, which follow simple interaction rules locally but show complex behaviors globally. Well, there are also lots of systems which are complicated at both global and local levels and can't be described by the simple rules of standard cellular automata. Our work demonstrates that, after making some appropriate extension to certain cellular automata implementation, a cellular automata style parallel numerical computing model can be constructed, with the capability to conquer the mentioned complex systems by parallelly solving millions of difference equations used to describing the systems.
机译:二十年来,并行计算一直是一个重要的课题。已经对两种方法进行了研究:如何在并行计算机上更快地执行程序以及如何通过并行编程更容易地描述问题。作为不同于通常方法的并行计算模型,元胞自动机已在许多领域中用于模拟自然现象,这些自然现象在本地遵循简单的交互规则,但在全球范围内表现出复杂的行为。嗯,还有很多系统在全局和局部级别上都很复杂,无法用标准细胞自动机的简单规则来描述。我们的工作表明,在对某些元胞自动机实现进行适当扩展之后,可以构建元胞自动机样式并行数值计算模型,并能够通过并行求解数百万个用于描述系统的差分方程来征服上述复杂系统。

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