Parallel Bioinformatics Algorithms for CUDA-Enabled GPUs

Bioinformatics has evolved into a compute-intensive and data-intensive research area driven by advances in both computer hardware and software algorithms. Therefore, many important biological problems are facing challenges both in runtime and memory consumption because of the exponential growth of b...

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Veröffentlicht in:	Bioinformatics S. 131 - 152
Format:	Buchkapitel
Sprache:	Englisch
Veröffentlicht:	United Kingdom CRC Press 2011 Taylor & Francis Group
Schlagworte:	BIOLOGY, LIFE SCIENCES Communications engineering / telecommunications Computer architecture & logic design Sequence Alignments Motif Width Message Queue Task Queue Cell Block Data Global Memory Access D3 D4 D5 D6 D7 Thread Block Query Sequence Multiple Sequence Alignment Distance Matrix Subject Sequence Motif Discovery Global Memory NJ Tree Substring Si Jth Iteration Pairwise Alignments Da Ta Sequence Sk Leaf Node Fl Ag Vector GHz Dual Core Processor
ISBN:	1439814880, 9781439814888
Online-Zugang:	Volltext
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