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- W193543171 abstract "Finding the Longest Common Subsequence (LCS) is a traditional and well studied problem in bioinformatics and text editing. In this paper, a customized parallel algorithm based on the Partitioned Global Address Space (PGAS) programming model to compute the LCS is presented. The algorithm is based on two related parameters balancing the communication and the synchronization needs in order to find the best data and workload distributions. The basic design of the algorithm and its complexity analysis are discussed together with experimental results. These results show the impact of those parameters on PGAS algorithm performance." @default.
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- W193543171 date "2008-01-01" @default.
- W193543171 modified "2023-09-25" @default.
- W193543171 title "A PGAS-Based Algorithm for the Longest Common Subsequence Problem" @default.
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- W193543171 doi "https://doi.org/10.1007/978-3-540-85451-7_70" @default.
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