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个人信息Personal Information
教授 博士生导师 硕士生导师
性别：男
出生日期：1975-09-16
毕业院校：新加坡南洋理工大学
学历：研究生(博士)毕业
学位：博士生
在职信息：在职
所在单位：软件学院
入职时间：2012-05-11
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- [21] 刘卫国. SW_Gromacs: Acceletate Gromacs on Sunway Taihulight. 2019.
- [22] 刘卫国 and 孟祥旭. Refactoring and Optimizing WRF Model on Sunway TaihuLight. 2019.
- [23] 刘卫国. XLCS: A New Bit-Parallel Longest Common Subsequence Algorithm on Xeon Phi Clusters. 2019.
- [24] 刘卫国. DGCF: A Distributed Greedy Clustering Framework for Large-scale Genomic Sequences. 2019.
- [25] 刘卫国. SPECTR: Scalable Parallel Short Read Error Correction on Multi-core and Many-core Architectures. 2018.
- [26] 刘卫国. MyPhi: Efficient Levenshtein Distance Computation on Xeon Phi based Architectures. Current Bioinformatics, 2018.
- [27] 刘卫国. End-to-end I/O Monitoring on a Leading Supercomputer. 2019.
- [28] 刘卫国. Fast and efficient short read mapping based on a succinct hash index. BMC Bioinformatics, 2018.
- [29] 刘卫国. BGSA: A Bit-Parallel Global Sequence Alignment Toolkit for Multi-core and Many-core Architectures. Bioinformatics, 2018.
- [30] 刘卫国. Redesigning LAMMPS for Peta-scale and Hundred-billion-atom Simulation on Sunway TaihuLight. 2018.
- [31] 孟祥旭 , 刘卫国 and 张庆科. 基于随机维度划分与学习的粒子群优化算法. 浙江大学学报(工学版), 2018.
- [32] 刘卫国 and 产院东. PUNAS: A Parallel Ungapped-Alignment-Featured Seed Verification Algorithm for Next-Generation Sequencing Read Alignment. 2017 31ST IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS), 52, 2017.
- [33] 刘卫国 , 孟祥旭 and 张庆科. Vector coevolving particle swarm optimization algorithm. Information Sciences, 394, 273, 2017.
- [34] 彭滢 , 刘卫国 and 张帅. Mapping of option pricing algorithms onto heterogeneous many-core architectures. JOURNAL OF SUPERCOMPUTING, 73, 37, 2017.
- [35] 刘卫国 and 兰海东. SWhybrid: A Hybrid-Parallel Framework for Large-Scale Protein Sequence Database Search. 2017 31ST IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS), 42, 2017.
- [36] 刘卫国 and 殷泽坤. Computing Platforms for Big Biological Data Analytics: Perspectives and Challenges. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 15, 403, 2017.
- [37] 刘卫国 and 段晓辉. S-Aligner: Ultrascalable read mapping on Sunway Taihu Light. 2017 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER), 36, 2017.
- [38] 刘卫国. CUDA-MEME: Accelerating Motif Discovery in Biological Sequences Using CUDA-enabled Graphics Processing Units. Pattern Recognition Letters, 2009.
- [39] 刘卫国. A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-enabled Graphics Hardware. Journal of computational biology, 2010.
- [40] 刘卫国. Accelerating Large-Scale Biological Database Search on Xeon Phi-based Neo-Heterogeneous Architectures. 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015.