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Reseach Article

Article:A Survey of Bioinformatics Applications on Parallel Architectures

by Binay Kumar Pandey, Sanjay Kumar Pandey, Digvijay Pandey
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 4
Year of Publication: 2011
Authors: Binay Kumar Pandey, Sanjay Kumar Pandey, Digvijay Pandey
10.5120/2877-3744

Binay Kumar Pandey, Sanjay Kumar Pandey, Digvijay Pandey . Article:A Survey of Bioinformatics Applications on Parallel Architectures. International Journal of Computer Applications. 23, 4 ( June 2011), 21-25. DOI=10.5120/2877-3744

@article{ 10.5120/2877-3744,
author = { Binay Kumar Pandey, Sanjay Kumar Pandey, Digvijay Pandey },
title = { Article:A Survey of Bioinformatics Applications on Parallel Architectures },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 4 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 21-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number4/2877-3744/ },
doi = { 10.5120/2877-3744 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:18.677925+05:30
%A Binay Kumar Pandey
%A Sanjay Kumar Pandey
%A Digvijay Pandey
%T Article:A Survey of Bioinformatics Applications on Parallel Architectures
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 4
%P 21-25
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Based on bioinformatics algorithm, there are a wide range of implementations. With the urge for program speed, many applications take the heuristic approach to compensate running time. One of the most critical shortcomings of this technique is the loss of optimality, i.e. the desired results may not always be found. To overcome this problem, many different hardware architectures have been experimented for bioinformatics algorithm such as cell broadband engine, cluster and compute unified device architecture where, the main technique for obtaining high performance is to parallelize the task to be run simultaneously by multiple vector execution units with single instruction multiple data and by multiple processors with multiple instruction multiple data. In this paper we presents a survey of data intensive bioinformatics applications on variety of parallel Architecture that are available for accelerating the processing of large biological data set.

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Index Terms

Computer Science
Information Sciences

Keywords

Cell broadband engine Clusters CUDA Suffix tree Weighted suffix tree (key words)