DocumentCode
660659
Title
An Empirical Study on BLAST Parallel Acceleration
Author
Li Ruan ; Quan Zhou ; Yilei Wu ; Donghui Sui ; Limin Xiao
Author_Institution
State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China
fYear
2013
fDate
4-6 Nov. 2013
Firstpage
162
Lastpage
163
Abstract
Sequence alignment is of great importance in bioinformatics research and one of the areas that present a significant computational challenge because of the amount and complexity of big data to be processed. Most of published implementations in bioinformatics are still focused on the analysis and/or assembly of biological sequences. Moreover, there lacks practical performance comparison on MPI based BLAST (Basic Local Alignment Search Tool) acceleration methods. This paper introduces an empirical study on accelerating BLAST using the MPI, and comparing the speedup performance between pblast based on MPI. Results show our method achieve a good speedup.
Keywords
Big Data; application program interfaces; bioinformatics; message passing; parallel processing; BLAST parallel acceleration; Big Data processing; MPI; basic local alignment search tool acceleration methods; bioinformatics research; biological sequences; sequence alignment; Acceleration; Bioinformatics; Cloud computing; Data handling; Databases; Information management;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud and Service Computing (CSC), 2013 International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/CSC.2013.36
Filename
6693198
Link To Document