
Bioinformatics
High Performance Parallel Computer Architectures
Herausgeber: Schmidt, Bertil
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A compilation of recent approaches from prominent researchers, this referencediscusses how to take advantage of bioinformatics applications and algorithmson a variety of modern parallel architectures.
Written by internationally renowned experts, this book introduces emerging parallel architectures, their corresponding programming paradigms, and their bioinformatics applications. Providing two introductory chapters to supply necessary background on sequential bioinformatics algorithms and parallel architectures-such as multi-cores, Cell B.E., GPUs, FPGAs-it then presents parallelization strategies and performance evaluations for numerous state-of-the-art bioinformatics algorithms and tools. Topics include pairwise sequence alignment, multiple sequence alignment, BLAST, motif finding, and pattern matching. The book also covers sequence assembly, hidden Markov models, molecular dynamics, and evolutionary tree reconstruction.