Derivation of a parallel string matching algorithm

We derive an efficient parallel algorithm to find all occurrences of a pattern string in a subject string in O(log n) time, where n is the length of the subject string. The number of processors employed is of the order of the product of the two string lengths. The theory of powerlists [J. Kornerup,...

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Bibliographic Details
Published in:Information processing letters Vol. 85; no. 5; pp. 255 - 260
Main Author: Misra, Jayadev
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 16.03.2003
Elsevier Science
Elsevier Sequoia S.A
Subjects:
Algorithms
Applied sciences
Computer science; control theory; systems
Data processing. List processing. Character string processing
Data structures
Exact sciences and technology
Memory organisation. Data processing
Parallel algorithms
Powerlist
Software
String
Studies
Data structures
String
Parallel algorithms
Powerlist
Order
Parallel algorithm
Processor
Theory
String matching
System programming
Product
Time
System
1997
1994
Programming language
Number
Length
Development
Data structure
Pattern matching
ISSN:0020-0190, 1872-6119
Online Access:Get full text
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Summary:We derive an efficient parallel algorithm to find all occurrences of a pattern string in a subject string in O(log n) time, where n is the length of the subject string. The number of processors employed is of the order of the product of the two string lengths. The theory of powerlists [J. Kornerup, PhD Thesis, 1997; J. Misra, ACM Trans. Programming Languages Systems 16 (6) (1994) 1737–1740] is central to the development of the algorithm and its algebraic manipulations.
Bibliography:SourceType-Scholarly Journals-1
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ISSN:0020-0190
1872-6119
DOI:10.1016/S0020-0190(02)00416-7