基于数据流的并行字符串匹配算法

J. H. Park, K. M. George
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引用次数: 23

摘要

本文提出了并行字符串匹配的有效数据流方案。两个子问题被称为精确匹配和k-不匹配问题被涵盖。提出了三种基于多输入(和输出)流的并行算法。这些并行算法的时间复杂度为O((n/d)+/spl alpha/), O/spl les//spl alpha//spl les/m,其中n和m表示引用和模式字符串的长度(n/spl Gt/m), d表示使用的流的数量(并行度)。我们可以通过使用输入(和输出)流的可变数(d)来控制并行度。这些表演比文学作品中的表演要好。这些算法提供了三种不同的方法来设计用于字符串匹配的专用收缩阵列硬件。在线性收缩阵列结构下,串行设计需要m个pe,并行设计需要d*m个pe。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel string matching algorithms based on dataflow
This paper presents efficient dataflow schemes for parallel string matching. Two subproblems known as the exact matching and the k-mismatches problems are covered. Three parallel algorithms based on multiple input (and output) streams are presented. Time complexities of these parallel algorithms are O((n/d)+/spl alpha/), O/spl les//spl alpha//spl les/m, where n and m represent lengths of reference and pattern strings (n/spl Gt/m) and d represents the number of streams used (the degree of parallelism). We can control the degree of parallelism by using variable number (d) of input (and output) streams. These performances are better than those found in the literature. These algorithms present three different methods to design special purpose systolic array hardware for string matching. With linear systolic array architecture, m PEs are needed for serial design and d*m PEs are needed for parallel design.
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