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- Edson Cáceres, Frank Dehne, Afonso Ferreira, Paola Flocchini, Ingo Rieping, Alessandro Roncato +2 others
- ICALP
- 1997

In this paper we present a coarse-grained parallel algorithm for solving the string edit distance problem for a string A and all substrings of a string C. Our method is based on a novel CGM/BSP parallel dynamic programming technique for computing all highest scoring paths in a weighted grid graph. The algorithm requires \log p rounds/supersteps and… (More)

Given two strings and of lengths Ñ and Ò, respectively , the all-substrings longest common subsequence (ALCS) problem obtains the lengths of the subsequences common to and any substring of. The sequential algorithm takes Ç´ÑÒµ time and Ç´Òµ space. We present a parallel algorithm for ALCS on a coarse-grained multi-computer (BSP/CGM) model with Ô Ô Ô Ñ… (More)

In this paper we present a parallel wavefront algorithm for computing an alignment between two strings A and C, with |A| = m and |C| = n. On a distributed memory parallel computer of p processors each with O((m + n)/p) memory, the proposed algorithm requires O(p) communication rounds and O(mn/p) local computing time. The novelty of this algorithm is based… (More)

Given two strings A and B of lengths n a and n b , respectively, the All-substrings Longest Common Subsequence (ALCS) problem obtains, for any substring B of B, the length of the longest string that is a subsequence of both A and B. The sequential algorithm takes O(n a n b) time and O(n b) space. We present a parallel algorithm for the ALCS on the Coarse… (More)