Copyright © 1997 Elsevier B.V. All rights reserved.
Vectorizations of randomized matching for run-length coded strings
Received 11 April 1996;
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Abstract
Matching run-length coded strings (RLCSs) is very important in the field of pattern recognition. This paper considers the design of vectorized matching algorithms that operate directly on RLCSs. We first modify the algorithm of Karp and Rabin (1987) to design a linear-time randomized matching algorithm for RLCSs. Following this algorithm, two new and fast vectorized algorithms are presented. The first one is off-line and the second one is on-line. Some experiments are carried out on a CRAY X-MP EA/ 116se vector supercomputer to demonstrate the good performance of our vectorized algorithms.
Author Keywords: Pattern matching; Randomized algorithms; Vectorized algorithms; Run-length coded strings; Error probability; Vector supercomputer







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