A parallel algorithm for finding the longest common subsequence of two strings is presented. Our algorithm is executed on r processors, with r equal to the total number of pairs of positions at which two symbols match. Given two strings of length m and n respectively, m ≤ n, with preprocessing allowed, our algorithm achieves O(logρlog2n) time complexity where ρ is the longest common subsequence. Fast computing of Longest-Common-Subsequence is made possible due to the exploiting of the parallelism.
CITATION STYLE
Lu, M. (1990). Parallel computation of longest-common-subsequence. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 468 LNCS, pp. 385–394). Springer Verlag. https://doi.org/10.1007/3-540-53504-7_96
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