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International Journal of Reconfigurable Computing
Volume 2012, Article ID 752910, 15 pages
http://dx.doi.org/10.1155/2012/752910
Review Article

High Performance Biological Pairwise Sequence Alignment: FPGA versus GPU versus Cell BE versus GPP

1Institute of Integrated Systems, School of Engineering, The University of Edinburgh, Kings Buildings, Mayfield Road, Edinburgh EH9 3JL, UK
2Electrical and Computer Engineering Department, The University of Arizona, Tucson, AZ 85721-0104, USA

Received 15 December 2011; Revised 13 February 2012; Accepted 17 February 2012

Academic Editor: Kentaro Sano

Copyright © 2012 Khaled Benkrid et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Khaled Benkrid, Ali Akoglu, Cheng Ling, Yang Song, Ying Liu, and Xiang Tian, “High Performance Biological Pairwise Sequence Alignment: FPGA versus GPU versus Cell BE versus GPP,” International Journal of Reconfigurable Computing, vol. 2012, Article ID 752910, 15 pages, 2012. https://doi.org/10.1155/2012/752910.