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: | |
| ISBN: | 1439814880, 9781439814888 |
| Online-Zugang: | Volltext |
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| Abstract | 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. |
|---|---|
| AbstractList | 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. |
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| Keywords | 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 |
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| PublicationSubtitle | High Performance Parallel Computer Architectures |
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research area driven by advances in both computer hardware and software
algorithms.... |
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| SubjectTerms | BIOLOGY, LIFE SCIENCES Communications engineering / telecommunications Computer architecture & logic design |
| Title | Parallel Bioinformatics Algorithms for CUDA-Enabled GPUs |
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