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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Beschreibung
Zusammenfassung: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 biological databases. Problem examples include sequence alignments and motif discovery.
ISBN:1439814880
9781439814888
DOI:10.1201/EBK1439814888-9