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hybrid multiprocessor technique

An adaptive hybrid multiprocessor technique for bioinformatics sequence alignment

1 min read · Thu, Apr 29 2010

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bioinformatics sequence alignment Circuits hybrid multiprocessor technique

Talal Bonny, et al., "An adaptive hybrid multiprocessor technique for bioinformatics sequence alignment." In 2010 5th cairo international biomedical engineering conference, 2010, 112. Sequence alignment algorithms such as the Smith-Waterman algorithm are among the most important applications in the development of bioinformatics. Sequence alignment algorithms must process large amounts of data which may take a long time. Here, we introduce our Adaptive Hybrid Multiprocessor technique to accelerate the implementation of the Smith-Waterman algorithm. Our technique utilizes both the graphics

Applied Mathematics and Computational Science (AMCS)

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