Abstract
One of the critical problems of analyzing internet content is string matching, it is a basic problem in computer fields. During many years study, many classical algorithms were offered. But a bottleneck was met in traditional algorithm: the algorithm’s time complexity of string matching and multiple string matching limits is \(O(\frac{n}{m}log_{|\sum|}m)\) and \(O(\frac{n}{m}log_{|\sum|}rm)\), many algorithms approach or reach this limit. The article researches parallel algorithm to break the bottlenecks. The paper optimized traditional algorithm by applying multi-core, SSE, AVX instruction. We analyses Suffix based approach, and offer parallel BMH approach, Experimental results show the parallel approach can reach good speedup.
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Kun, H., Xilong, Q., Hong, Y. (2012). The Parallel BMH Algorithm of String Matching. In: Qu, X., Yang, Y. (eds) Information and Business Intelligence. IBI 2011. Communications in Computer and Information Science, vol 268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29087-9_20
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DOI: https://doi.org/10.1007/978-3-642-29087-9_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29086-2
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