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Implementing string-to-string correction and longest common subsequence problems on the Sequent Symmetry multiprocessor

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3 Author(s)
Das, S.K. ; Dept. of Comput. Sci., North Texas Univ., Denton, TX, USA ; Datta, A.K. ; Pothuru, S.

This paper implements and analyzes the performance of parallel algorithms for the string-to-string correction and the longest common subsequence (LCS) problems, on the shared-memory Sequent Symmetry multiprocessor machine. The speedup of the first algorithm is 12.686 with 15 processors for a sequence of length 800, while the speedup of the LCS algorithm is 3.227 employing 8 processors for a sequence of length 128

Published in:

High Performance Computing, 1996. Proceedings. 3rd International Conference on

Date of Conference:

19-22 Dec 1996