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Information Sciences
Volume 177, Issue 1, 1 January 2007, Pages 231-238
Zdzis?aw Pawlak life and work (1926–2006)
 
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doi:10.1016/j.ins.2006.07.024    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier Inc. All rights reserved.

Parallel comparison of run-length-encoded strings on a linear systolic array

Alessandro BoglioloCorresponding Author Contact Information, a, E-mail The Corresponding Author and Valerio Freschia, E-mail The Corresponding Author

aSTI – University of Urbino, Piazza della Repubblica, 13, Urbino 61029, Italy

Received 20 July 2005; 
revised 13 July 2006; 
accepted 15 July 2006. 
Available online 10 August 2006.

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Abstract

The length of the longest common subsequence (LCS) between two strings of M and N characters can be computed by an O(M × N) dynamic programming algorithm, that can be executed in O(M + N) steps by a linear systolic array. It has been recently shown that the LCS between run-length-encoded (RLE) strings of m and n runs can be computed by an O(nM + Nm − nm) algorithm that could be executed in O(m + n) steps by a parallel hardware. However, the algorithm cannot be directly mapped on a linear systolic array because of its irregular structure.

In this paper, we propose a modified algorithm that exhibits a more regular structure at the cost of a marginal reduction of the efficiency of RLE. We outline the algorithm and we discuss its mapping on a linear systolic array.

Keywords: Algorithms; Longest common subsequence; Run-length encoding; Systolic array; String comparison

Article Outline

1. Introduction
2. Basic LCS algorithm
3. RLE–LCS algorithm
4. RLLE–LCS algorithm
5. Systolic array implementation
6. Discussion and conclusions
References







Information Sciences
Volume 177, Issue 1, 1 January 2007, Pages 231-238
Zdzis?aw Pawlak life and work (1926–2006)
 
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