Abstract | ||
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The longest common subsequence (LCS) problem is fundamental in computer science and its many applications. Parallel algorithms for this problems have been studied previously, in particular in the bulk-synchronous parallelism (BSP) model, which treats local computation, communication and synchronisation as independent scarce resources of a computing system. We consider primarily BSP algorithms running in either constant or polylogarithmic synchronisation. Based on our previous results on the algebraic structure and efficient algorithms for semi-local LCS, we present BSP algorithms for parallel semi-local LCS, improving on the existing upper bounds on communication and synchronisation; in particular we present the first constant-sync work-optimal LCS algorithm.
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Year | DOI | Venue |
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2020 | 10.1145/3350755.3400225 | SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures
Virtual Event
USA
July, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-6935-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
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Alexander Tiskin | 1 | 220 | 15.50 |