A Simple Optimum-Time FSSP Algorithm for Multi-Dimensional Cellular Automata

AUTOMATA & JAC Pub Date : 2012-08-13 DOI:10.4204/EPTCS.90.13
H. Umeo, Kinuo Nishide, Keisuke Kubo
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引用次数: 7

Abstract

The firing squad synchronization problem (FSSP) on cellular automata has been studied extensively for more than forty years, and a rich variety of synchronization algorithms have been proposed for not only one-dimensional arrays but two-dimensional arrays. In the present paper, we propose a simple recursive-halving based optimum-time synchronization algorithm that can synchronize any rectangle arrays of size m n with a general at one corner in m+ n+ max(m; n) 3 steps. The algorithm is a natural expansion of the well-known FSSP algorithms proposed by Balzer [1967], Gerken [1987], and Waksman [1966] and it can be easily expanded to three-dimensional arrays, even to multi-dimensional arrays with a general at any position of the array. The algorithm proposed is isotropic concerning the side-lengths of multi-dimensional arrays and its algorithmic correctness is transparent and easily verified.
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多维元胞自动机的简单最优时间FSSP算法
元胞自动机上的行刑队同步问题(FSSP)已经得到了四十多年的广泛研究,不仅针对一维阵列,也针对二维阵列提出了丰富多样的同步算法。在本文中,我们提出了一个简单的基于递归减半的最优时间同步算法,该算法可以同步任何大小为m n的矩形数组与m+ n+ max(m;N) 3步。该算法是对Balzer[1967]、Gerken[1987]和Waksman[1966]提出的著名的FSSP算法的自然扩展,它可以很容易地扩展到三维数组,甚至可以扩展到多维数组,在数组的任何位置都有一个将军。该算法对多维阵列的边长具有各向同性,算法的正确性透明且易于验证。
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