Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters-Reference-Cited by-同舟云学术

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Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters

Published:2016-07 Issue:S9 Volume:17 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Lan Haidong,Chan Yuandong,Xu Kai,Schmidt Bertil,Peng Shaoliang,Liu Weiguo

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-016-1128-0

Reference41 articles.

1. Schmidt B, Schröder H, Schimmler M. Massively parallel solutions for molecular sequence analysis. International Parallel and Distributed Processing Symposium parallel solutions for molecular sequence analysis. IEEE: 2002. p. 0186.

2. Bader DA. Computational biology and high-performance computing. Commun ACM. 2004; 47(11):34–41.

3. Rajko S, Aluru S. Space and time optimal parallel sequence alignments. IEEE Trans Parallel Distrib Syst. 2004; 15(11):1070–81.

4. Liu Y, Schmidt B. SWAPHI: Smith-waterman protein database search on Xeon Phi coprocessors. Application-specific Systems, Architectures and Processors (ASAP), 2014 IEEE 25th International Conference on. IEEE: 2014. p. 184–5.

5. Heinecke A, Vaidyanathan K, Smelyanskiy M, et al. Design and implementation of the linpack benchmark for single and multi-node systems based on intel xeon phi coprocessor. Parallel & Distributed Processing (IPDPS), 2013 IEEE 27th International Symposium on. IEEE: 2013. p. 126–37.

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