Parallel cellular programming for developing massively parallel emergent systems

Proceedings International Parallel and Distributed Processing Symposium Pub Date : 2003-04-22 DOI:10.1109/IPDPS.2003.1213478

D. Talia

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引用次数: 1

Abstract

In an emergent system higher level properties cannot be deduced to its simpler constitutes or its origins. The global behavior of an emergent system emerges from the single elements evolution and interaction. Emergent phenomena and systems need to be programmed by using paradigms that allow for expressing the behavior and interaction of a very large number of single simple elements. The cellular automata model is a nature inspired parallel computational model that can be used for modeling and simulation of emergent phenomena and systems. Because of their inherent parallelism, cellular automata can be used to model large scale emergent systems on parallel computers. The use of parallel cellular languages and environments can provide useful tools for the development of massively parallel emergent systems. This paper describes the cellular automata approach for developing large scale scalable emergent systems and discusses practical parallel cellular automata tools for programming emergence. Examples of emergent systems programmed in CARPET are discussed and their performance is evaluated on a Linux cluster.

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用于开发大规模并行应急系统的并行细胞编程

在一个紧急系统中，更高层次的性质不能推导出其更简单的构成或起源。一个紧急系统的整体行为是从单个元素的演化和相互作用中产生的。紧急现象和系统需要通过使用范式来编程，这些范式允许表达大量单个简单元素的行为和交互。元胞自动机模型是一种受自然启发的并行计算模型，可用于紧急现象和系统的建模和仿真。由于其固有的并行性，元胞自动机可以用于在并行计算机上对大规模紧急系统进行建模。并行细胞语言和环境的使用可以为大规模并行紧急系统的开发提供有用的工具。本文描述了用于开发大规模可扩展紧急系统的元胞自动机方法，并讨论了用于编程紧急系统的实用并行元胞自动机工具。讨论了用CARPET编程的应急系统实例，并在Linux集群上对其性能进行了评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings International Parallel and Distributed Processing Symposium

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