DocumentCode :
2000692
Title :
Improved bit-parallel string matching algorithm overcoming computer word size limitation
Author :
Sharma, Anuj Kumar ; Singh, Alok ; Agarwal, Suneeta ; Pandey, Kusum Lata ; Prasad, Rajesh
Author_Institution :
Dept. of CSE, MNNIT, Allahabad, India
fYear :
2012
fDate :
15-17 March 2012
Firstpage :
478
Lastpage :
481
Abstract :
Algorithms that uses bit-wise operations are known as bit-parallel algorithms. Technique of bit-parallelism has been very useful in string matching area since the introduction of the Shift-Or algorithm. In this algorithm, the input pattern length (m) is required to be less than the computer word size (W) to benefit from the full power of bit-parallelism. In the past, BLIM (Bit-parallel length independent matching) has been used to solve this word length problem efficiently. In this study, we propose a method that improves the efficiency of the BLIM algorithm further. This algorithm uses multiple characters to compute the value by which each text window is to be shifted during matching. Experimental results indicate that the proposed algorithm is faster than BLIM algorithm while retaining its main advantage.
Keywords :
parallel algorithms; string matching; bit-parallel algorithms; bit-parallel length independent matching; bit-parallel string matching algorithm; bit-wise operations; computer word size limitation; shift-or algorithm; text window; Algorithm design and analysis; Classification algorithms; Computers; Iron; Pattern matching; Software algorithms; Vectors; BLIM; bit-parallelism; information retrieval; shift-or; string matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Advances in Information Technology (RAIT), 2012 1st International Conference on
Conference_Location :
Dhanbad
Print_ISBN :
978-1-4577-0694-3
Type :
conf
DOI :
10.1109/RAIT.2012.6194625
Filename :
6194625
Link To Document :
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