An improved multi-pattern string matching algorithm and GPU parallelization

doi:10.7523/j.issn.2095-6134.2013.05.021

Journal of University of Chinese Academy of Sciences ›› 2013, Vol. 30 ›› Issue (5): 706-712.DOI: 10.7523/j.issn.2095-6134.2013.05.021

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An improved multi-pattern string matching algorithm and GPU parallelization

QIAN Quan^1,2, ZHU Wei^1,2, CHE Hong-Yi^1,2, ZHANG Rui^1,2

1. School of Computer Engineering & Science, Shanghai University, Shanghai 200072, China;
2. State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China

Received:2012-10-11 Revised:2013-02-06 Online:2013-09-15
Contact: 钱权,E-mail:qqian@shu.edu.cn

Abstract

Abstract: Multi-pattern matching algorithm has been widely used in text searching, intrusion detection, and some other areas. We focus on two matching algorithms, AC and regular expression. By comparing their DFA automata building process, we integrate the two processes to a new novel AC algorithm. The new AC maintains the advantages of the traditional AC when matching fails, the pointer of the target pattern does not turn back, and the AC automata pointer just moves back by a few steps. Meanwhile, we also discuss the AC parallelization based on GPU and CUDA, and compare the running performance when using GPU global memory or the texture one.

Key words: multi-pattern string matching, regulation expression matching, GPU, CUDA

CLC Number:

TP301

QIAN Quan, ZHU Wei, CHE Hong-Yi, ZHANG Rui. An improved multi-pattern string matching algorithm and GPU parallelization[J]. Journal of University of Chinese Academy of Sciences, 2013, 30(5): 706-712.

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An improved multi-pattern string matching algorithm and GPU parallelization

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