A distributed CPU-GPU framework for pairwise alignments on large-scale sequence datasets

Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors

Volumn , Issue , 2013, Pages 329-338

  Li, Da ^a   Sajjapongse, Kittisak ^a   Truong, Huan ^a   Conant, Gavin ^a   Becchi, Michela ^a  

^a UNIVERSITY OF MISSOURI   (United States)

Author keywords

cluster; GPU; heterogeneous system; sequence alignment

Indexed keywords

CLUSTER; GPU; GRAPHICS PROCESSING UNITS; HETEROGENEOUS SYSTEMS; NEEDLEMAN-WUNSCH ALGORITHM; OPEN SOURCE IMPLEMENTATION; PAIRWISE SEQUENCE ALIGNMENT; SEQUENCE ALIGNMENTS;

ALGORITHMS; BIOINFORMATICS; COMPUTER ARCHITECTURE; COMPUTER GRAPHICS; DATA TRANSFER; PROGRAM PROCESSORS;

ALIGNMENT;

EID: 84883348361     PISSN: 10636862     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASAP.2013.6567598     Document Type: Conference Paper

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