| 集群式计算机系统在生物信息学中的应用 |
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| 引用本文： | 周澄,郁松年. 集群式计算机系统在生物信息学中的应用[J]. 上海大学学报(英文版), 2003, 7(4): 370-374. DOI: 10.1007/s11741-003-0012-0 |
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| 作者姓名： | 周澄 郁松年 |
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| 作者单位： | School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China,School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China |
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| 基金项目： | theScienceFoundationofShanghaiMunic ipalCommissionofScienceandTechnology (GrantNo .0 0JC14 0 5 2 ) |
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| 摘 要： | 1 Introduction SMP (symmetricmulti processing)andMPP (mas sivelyparallelprocessing)arethetwotypesofstruc tureofparallelcomputing . Symmetricmulti processingsystemshavemultipleCPUsattachedtothesamebusandsharingRAM .Massivelyparallelprocessingisthecooperated pro cessingofaprogrambymultipleprocessorsthatworkondifferentpartsoftheprogram ,witheachprocessorusingitsownoperatingsystemandmemory .ThechoicebetweenSMPandMPPdependsonthenatureoftheproblembeingsolved .Iftheproblemcanbeeasilypartit…
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| 关 键 词： | 计算机技术 生物信息学 大规模并行处理 MPP 对称多处理器 SMP |
| 收稿时间： | 2003-01-10 |
Using cluster computers in bioinformatics research |
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| Zhou Ckeng,Yu Song-Nian. Using cluster computers in bioinformatics research[J]. Journal of Shanghai University(English Edition), 2003, 7(4): 370-374. DOI: 10.1007/s11741-003-0012-0 |
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| Authors: | Zhou Ckeng Yu Song-Nian |
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| Affiliation: | School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China |
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| Abstract: | In the last ten years, high-performance and massively parallel computing technology comes into a high speed developing phase and is used in all fields. The cluster computer systems are also being widely used for their low cost and high performance. In bioinformatics research, solving a problem with computer usually takes hours even days. To speed up research, high-performance cluster computers are considered to be a good platform. Moving into the new MPP (massively parallel processing) system, the original algorithm should be parallelized in a proper way. In this paper, a new parallelizing method of useful sequence alignment algorithm (Smith-Waterman) is designed based on its optimizing algorithm already exists. The result is gratifying. |
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| Keywords: | MPP (massively parallel processing) algorithm parallelization clustering bioinformatics sequence alignments algorithm. |
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