DERIVING A FAST SYSTOLIC ALGORITHM FOR THE LONGEST COMMON SUBSEQUENCE PROBLEM

Yen-Chun Lin, J. Yeh
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引用次数: 5

Abstract

The longest common subsequence (LCS) problem is to find an LCS of two given sequences and the length of the LCS. In this paper, an efficient systolic algorithm for the LCS problem is derived. For two sequences of length m and n, where m ≥ n, the problem can be solved with only [n/2] processors in m + 2[n/2] − 1 time steps. Compared with other systolic algorithms that solve the LCS problem, our algorithm not only takes fewer time steps but also uses fewer processors. Our algorithm is better suited to implementation on multicomputers than other systolic algorithms.
给出了一种求解最长公共子序列问题的快速收敛算法
最长公共子序列(LCS)问题是求两个给定序列的LCS及其长度。本文给出了求解LCS问题的一种有效的收缩算法。对于长度为m和n的两个序列,当m≥n时,在m + 2[n/2]−1个时间步长中,仅使用[n/2]个处理器即可求解问题。与其他解决LCS问题的收缩算法相比,我们的算法不仅需要更少的时间步长,而且使用更少的处理器。我们的算法比其他的收缩算法更适合在多计算机上实现。
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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