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GPU based Suffix Array Pattern Matching Approach for Big Data

by Vinay Katoch, Sanjay Silakari, Uday Chourasia
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 170 - Number 1
Year of Publication: 2017
Authors: Vinay Katoch, Sanjay Silakari, Uday Chourasia
10.5120/ijca2017914668

Vinay Katoch, Sanjay Silakari, Uday Chourasia . GPU based Suffix Array Pattern Matching Approach for Big Data. International Journal of Computer Applications. 170, 1 ( Jul 2017), 35-39. DOI=10.5120/ijca2017914668

@article{ 10.5120/ijca2017914668,
author = { Vinay Katoch, Sanjay Silakari, Uday Chourasia },
title = { GPU based Suffix Array Pattern Matching Approach for Big Data },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 170 },
number = { 1 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume170/number1/28037-2017914668/ },
doi = { 10.5120/ijca2017914668 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:17:20.745089+05:30
%A Vinay Katoch
%A Sanjay Silakari
%A Uday Chourasia
%T GPU based Suffix Array Pattern Matching Approach for Big Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 170
%N 1
%P 35-39
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Big data has been an emerging problem these days. To solve this problem Hadoop has evolved as a most widely used tool and adopted by various popular MNCs like Facebook and Yahoo. To search large number of pattern in big data is a challenging task. Map/Reduce is used to write codes to perform pattern matching on big data. In this work OpenCL is combined with Apache Hadoop to write fast Map/Reduce for pattern matching in data using suffix arrays.

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Index Terms

Computer Science
Information Sciences

Keywords

OpenCL GPU Hadoop MapReduce.

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