Bioinformatics : high performance parallel computer architectures / edited by Bertil Schmidt.
Material type:
TextSeries: Embedded multi-core systemsPublication details: Boca Raton : CRC Press, c2011.Description: xiv, 356 p. : ill. ; 25 cmContent type: - text
- unmediated
- volume
- 9781439814888
- 1439814880
- 572.80285 B 22
- QH324.2 .B5487 2011
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Books
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Main library A9 | Computers & Information Technology ( Information systems ) | 572.80285 B (Browse shelf(Opens below)) | 1 | Available | 00009612 |
Includes bibliographical references and index.
Algorithms for bioinformatics / Bertil Schmidt -- Introduction to GPGPUs and massively threaded programming / Robert M. Farber -- FPGA : architecture and programming / Douglas Maskell -- Parallel algorithms for alignments on the cell BE / Abhinav Sarje and Srinivas Aluru -- Orchestrating the phylogenetic likelihood function on emerging parallel architectures / Alexandros Stamatakis -- Parallel bioinformatics algorithms for CUDA-enabled GPUs / Yongchao Liu, Bertil Schmidt, and Douglas Maskell -- CUDA error correction method for high-throughput short-read sequencing data / Haixiang Shi, Weiguo Liu, and Bertil Schmidt -- FPGA acceleration of seeded similarity searching / Arpith C. Jacob ... [et al.] -- Seed-based parallel protein sequence comparison combining multithreading, GPU, and FPGA technologies / Dominique Lavenier and Van-Hoa Nguyen -- Database searching with profile-hidden Markov models on reconfigurable and many-core architectures / John Paul Walters, Vipin Chaudhary, and Bertil Schmidt -- COPACOBANA : a massively parallel FPGA-based computer architecutre / Manfred Schimmler ... [et al.] -- Accelerating string set matching for bioinformatics using FPGA hardware / Yoginder S. Dandass -- Reconfigurable neural system and its application to dimeric protein binding site identification / Feng Lin and Maria Stepanova -- Parallel FPGA search engine for protein identification / Daniel Coca, Istvan Bogdan, and Robert J. Beynon.
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