Implementing standard and nonstandard parallel cellular automata in CARPET

D. Talia
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引用次数: 2

Abstract

Cellular automata is a nature inspired parallel processing model. It has been proposed several years ago by J. Von Neumann to simulate complex dynamical processes. In the past two decades several models of cellular automata that differ from the original one proposed by Von Neumann have been defined for modeling real-world systems and phenomena. This paper describes the design and implementation of standard and nonstandard parallel cellular automata in the CARPET language. CARPET is a cellular automata based language that has been implemented on MIMD parallel computers. The language is specifically designed for programming cellular computations supporting concise and efficient coding of parallel cellular algorithms. The paper analyzes the main features of the language and describes as they can be exploited to implement different cellular automata on parallel computers, starting from the standard model to its modifications and generalizations. Inhomogeneous, partitioned, asynchronous, and probabilistic cellular automata programmed in CARPET are presented.
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在CARPET中实现标准和非标准并行元胞自动机
元胞自动机是一种受自然启发的并行处理模型。几年前冯·诺依曼提出了它来模拟复杂的动力学过程。在过去的二十年中,不同于冯·诺伊曼最初提出的元胞自动机模型已经被定义为模拟现实世界的系统和现象。本文描述了在CARPET语言中标准和非标准并行元胞自动机的设计与实现。CARPET是一种基于元胞自动机的语言,已在MIMD并行计算机上实现。该语言是专门为细胞计算编程而设计的,支持简洁高效的并行细胞算法编码。本文分析了该语言的主要特征,并描述了如何利用它们在并行计算机上实现不同的元胞自动机,从标准模型到其修改和推广。提出了非齐次元胞自动机、分区元胞自动机、异步元胞自动机和概率元胞自动机。
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