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Weiguo Liu received his Bachelor and Master degree from the Xi'an JiaoTong University, China and the Ph.D. degree from the Nanyang Technological University, Singapore.

Research


Weiguo Liu's research interests include heterogeneous high performance computing; big data processing; intelligent computing; machine learning.

Courses


GPU Computing
Parallel Computing on Multi-Core Platforms

Projects


国家重点研发计划高性能计算专项:大规模并行计算的工具库和领域相关基础软件包, 2017.7-2020.12
中德国际合作科研项目(PPP)2016.1-2018.12

Publications


1. Haohuan Fu, Junfeng Liao, Nan Ding, Xiaohui Duan, Lin Gan, Yishuang Liang, Xinliang Wang, Jinzhe Yang, Yan Zheng, Weiguo Liu, Lanning Wang, Guangwen Yang: Redesigning CAM-SE for Petascale Climate Modeling Performance on Sunway TaihuLight, the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2017), Denver, USA, November, 2017. (ACM Gordon Bell Prize Finalist)
2. Haohuan Fu, Conghui He, Bingwei Chen, Zekun Yin, Zhenguo Zhang, Wenqiang Zhang, Tingjian Zhang, Wei Xue, Weiguo Liu, Wanwang Yin, Guangwen Yang, Xiaofei Chen: 15-Pflops Nonlinear Earthquake Simulation on Sunway TaihuLight: Enabling Depiction of Realistic 10 Hz Scenarios, the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2017), Denver, USA, November, 2017. (ACM Gordon Bell Prize Finalist)
3. Xiaohui Duan, Kai Xu, Yuandong Chan, Christian Hundt, Bertil Schmidt, Pavan Balaji and Weiguo Liu: S-Aligner: Ultrascalable read mapping on Sunway Taihu Light, the 19th IEEE International Conference on Cluster Computing (IEEE Cluster 2017), Hawaii, USA, September, 2017.
4. Zekun Yin, Haidong Lan, Weiguo Liu, et al: Computing Platforms for Big Biological Data Analytics: Perspectives and Challenges, accepted by Computational and Structural Biotechnology Journal, 2017. (CiteScore: 3.16)
5. S. Peng, W. Liu, X. Zhao, et al: A CPU/MIC Collaborated Parallel Framework for GROMACS, accepted by IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017. (impact factor:1.609)
6. Qingke Zhang, Weiguo Liu, Xiangxu Meng, Bo Yang, and Athanasios V. Vasilakos: Vector Coevolving Particle Swarm Optimization Algorithm, accepted by Information Sciences, 2017. (impact factor:3.364)
7. Shuai Zhang, Zhao Wang, Ying Peng, Bertil Schmidt, and Weiguo Liu: Mapping of Option Pricing Algorithms onto Heterogeneous Many-Core Architectures, accepted by The Journal of Supercomputing, 2017. (impact factor: 1.088)
8. Yuandong Chan, Kai Xu, Haidong Lan, Weiguo Liu, Yongchao Liu and Bertil Schmidt: A Parallel Ungapped-Alignment-Featured Seed Verification Algorithm for Next-Generation Sequencing Read Alignment, the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS 2017), Orlando, USA, May, 2017.
9. Haidong Lan, Weiguo Liu, Yongchao Liu and Bertil Schmidt: SWhybrid: A Hybrid-Parallel Framework for Large-Scale Protein Sequence Database Search, the 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS 2017), Orlando, USA, May, 2017.
10. Y. Yang, X. Wang, B. Yang, W. Liu, and W. Xue: IO Trace Tool for HPC applications over Sunway TaihuLight Supercomputer, CCF HPC China 2016 (Best Paper).
11. Y. Chan, K. Xu, J. Zhang, X. Wang, and W. Liu: SLPal – Fast Bit Parallel Algorithm for Accelerating Long DNA Sequence Comparison on Xeon Phi, CCF HPC China 2016 (优秀应用论文).
12. H. Lan, Y. Chan, K. Xu, B. Schmidt, S. Peng, and W. Liu: Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters, BMC Bioinformatics, 17(9):11-23, 2016. (Imapct factor: 2.576).
13. Y. Chan, K. Xu, J. Zhang, X. Yu and W. Liu: XMapper - A Parallel Full Comprehensive DNA Read Mapping Algorithm Based on Intel Xeon and Xeon Phi Heterogeneous Architecture, CCF HPC China 2015 (优秀应用论文).
14. H. Lan, W. Liu, B. Schmidt, and B. Wang: Accelerating Large-Scale Biological Database Search on Xeon Phi-based Neo-Heterogeneous Architectures, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2015), Washington D.C., USA, November 2015.
15. Q. Zheng, H. Lan, and W. Liu: XPFS: A New Parallel PROSITE Profile Search Algorithm on Xeon Phi, IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2014), Belfast, UK, November 2014.
16. S. Zhang and W. Liu: Parallel Monte Carlo Option Pricing Algorithms on Hybrid Heterogeneous Many-Core Architectures, CCF HPC China 2014.
17. L. Wang, Y. Chan, X. Duan, H. Lan, X. Meng, and W. Liu: XSW: Accelerating Biological Database Search on Xeon Phi, the 28th IEEE International Parallel & Distributed Processing Symposium (IPDPSW 2014), Phoenix, USA, May, 2014.
18. X. Duan, K. Zhao, and W. Liu etc.: HiPGA: A High Performance Genome Assembler for Short Read Sequence Data, the 28th IEEE International Parallel & Distributed Processing Symposium (IPDPSW 2014), Phoenix, USA, May, 2014.
19. K. Zhao, W. Liu, G. Voss, and W. Müller-Wittig: Accelerating de Bruijn Graph-based Genome Assembly for High-Throughput Short Read Data, the 19th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2013), Korea, December, 2013.
20. Y. Guo, W. Liu, B. Gong, G. Voss, and W. Müller-Wittig: GCMR: A GPU Cluster-based MapReduce Framework for Large-scale Data Processing, The 15th IEEE International Conference on High Performance Computing and Communications (HPCC 2013), Zhangjiajie, China, November 13-15, 2013.
21. K. Zhao, W. Liu, G. Voss, and W. Müller-Wittig: A Dynamic Hashing approach to build de Bruijn graph for genome assembly, IEEE TENCON 2013, Xi’an, China, October 22-25, 2013.
22. H. Shi, B. Schmidt, W. Liu, and W. Müller-Wittig: Parallel Mutual Information Estimation for Inferring Gene Regulatory Networks on GPUs, BMC Research Notes, DOI:10.1186/1756-0500-4-189
23. W. Liu, B. Schmidt, and W. Mueller-Wittig: CUDA-BLASTP: Accelerating BLASTP on CUDA-enabled Graphics Hardware, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2011 November. (Imapct factor: 2.246)
24. W. Liu, B. Schmidt, Y. Liu, G. Voss, and W. Müller-Wittig: Mapping of BLASTP Algorithm onto GPU Clusters, the 17th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2011), Tainan, December 7-9, 2011.
25. H. Shi, W. Liu, B. Schmidt: CUDA-EC: CUDA Error Correction Method for High-Throughput Short-Read Sequencing Data, in Bioinformatics: High Performance Parallel Computer Architectures, Taylor & Francis/CRC Press, 2010.
26. H. Shi, B. Schmidt, W. Liu, and W. Müller-Wittig: A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-enabled Graphics Hardware, Journal of Computational Biology, vol. 17, no. 4, pp. 603-615, 2010. (Impact Factor: 1.694)
27. H. Shi, B. Schmidt, W. Liu, and W. Müller-Wittig: Quality-Score Guided Error Correction for Short-Read Sequencing Data using CUDA, The International Conference on Computational Science 2010 (ICCS 2010), Amsterdam, Netherlands, Procedia Vol. 1, No. 1, pp. 1123-1132, 2010.
28. Y. Liu, B. Schmidt, W. Liu, and D. Maskell: CUDA-MEME: Accelerating Motif Discovery in Biological Sequences Using CUDA-enabled Graphics Processing Units, Pattern Recognition Letters, in press, doi: 10.1016/j.patrec.2009.10.009. (Impact Factor: 1.772)
29. H. Shi, B. Schmidt, W. Liu, and W. Müller-Wittig: Accelerating Error Correction in High-Throughput Short-Read DNA Sequencing Data with CUDA, in Proc. 23th IEEE International Parallel & Distributed Processing Symposium (IPDPSW 2009).
30. B. Schmidt, C. Chen, W. Liu, W. Mitchell: PheGee@Home: A Grid-based Tool for Comparative Genomics, in Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine and Healthcare, IGI Global, 2008.
31. W. Liu, B. Schmidt, G. Voss, and W. Müller-Wittig: Accelerating Molecular Dynamics Simulations using Graphics Processing Units with CUDA, Computer Physics Communications, vol. 179, pp. 634-641, 2008. (Impact Factor: 1.958)
32. A. Singh, C. Chen, W. Liu, W. Mitchell, and B. Schmidt: A Hybrid Computational Grid Architecture for Comparative Genomics, IEEE Transactions on Information Technology in Biomedicine, vol. 12, no. 2, pp. 218-225, 2008. (Impact Factor: 1.694)
33. C. Chen, B. Schmidt, W. Liu, and W. Müller-Wittig, Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences, Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB’08), LNBI, Australia, 2008.
34. B. Schmidt, CX. Chen, W. Liu: Hierarchical Grid Computing for High Performance Bioinformatics, in Grid Computing for Bioinformatics and Computational Biology, John Wiley & Sons, 2007.
35. W. Liu, B. Schmidt, and W. Müller-Wittig: Performance Analysis of General-Purpose Computation on Commodity Graphics Hardware: A Case Study Using Bioinformatics, The Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, vol. 48, no. 3, pp. 209-221, 2007. (Impact Factor: 0.732)
36. W. Liu, B. Schmidt, G. Voss, and W. Müller-Wittig: Streaming Algorithms for Biological Sequence Alignment on GPUs, IEEE Transactions on Parallel and Distributed Systems, vol. 18, no. 9, pp. 1270-1281, 2007. (Impact Factor: 1.733)
37. W. Liu, B. Schmidt, G. Voss, and W. Müller-Wittig: Molecular Dynamics Simulations on Commodity GPUs with CUDA, 14th Annual IEEE International Conference on High Performance Computing (HiPC 2007), LNCS 4873, pp. 185-196, Goa, India, December 18-21, 2007.
38. M. Low, W. Liu, and B. Schmidt: A Parallel BSP Algorithm for Irregular Dynamics Programming, 7th International Symposium on Advanced Parallel Processing Technologies (APPT 2007), LNCS 4847, pp. 151-160, Guangzhou, China, 2007.
39. W. Liu, B. Schmidt, and W. Müller-Wittig: Performance Predictions for General-Purpose Computation on GPUs, International Conference on Parallel Processing (ICPP 2007), Xi’an, China, September 10-14, 2007.
40. J. Feng, S. Chakraborty, B. Schmidt, W. Liu, and U.D. Bordoloi: Fast Schedulability Analysis Using Commodity Graphics Hardware, 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2007), Daegu, Korea, 2007.
41. C. Chen, A. Singh, W. Liu, W. Müller-Wittig, W. Mitchell, and B. Schmidt, Phenotype Genotype Exploration on A Desktop GPU Grid, 3rd International Workshop on Grid Computing & Applications (GCA 2007), Singapore, 2007.
42. W. Liu, B. Schmidt, Parallel Pattern-based Systems for Computational Biology: A Case Study, IEEE Transactions on Parallel and Distributed Systems, vol. 17, no. 8, pp. 750-763, August 2006. (Impact Factor: 1.733)
43. W. Liu, B., Schmidt, Mapping of Hierarchical Parallel Genetic Algorithms for Protein Folding onto Computational Grids, IEICE Transactions on Information and Systems, E89-D(2):589-596, February 2006. (Impact Factor: 0.396)
44. W. Liu, B. Schmidt, G. Voss, and W. Müller-Wittig: GPU-ClustalW: Using Graphics Hardware to Accelerate Multiple Sequence Alignment, 13th Annual IEEE International Conference on High Performance Computing (HiPC 2006), Bangalore, India, LNCS 4297, pp. 363-374, 2006.
45. W. Liu, B. Schmidt, G. Voss, and W. Müller-Wittig: Bio-Sequence Database Scanning on a GPU, in Proc. 20th IEEE International Parallel & Distributed Processing Symposium (IPDPSW 2006), Rhode Island, Greece, 2006.
46. W. Liu, B. Schmidt, Mapping of Hierarchical Parallel Genetic Algorithms for Protein Folding onto Computational Grids, IEEE Tencon 2005, Melbourne, Australia, 2005.
47. W. Liu, B. Schmidt, A Case Study on Pattern-based Systems for High Performance Computational Biology, in Proc. 19th IEEE International Parallel & Distributed Processing Symposium (IPDPSW 2005), Denver, CO, 2005.
48. W. Liu, B. Schmidt: A Tunable Coarse-Grained Parallel Algorithm for Irregular Dynamic Programming Applications, 11th Annual IEEE International Conference on High Performance Computing (HiPC 2004), Bangalore, India, Springer, LNCS, 2004.
49. W. Liu, B. Schmidt, A Generic Parallel Pattern-based System for Bioinformatics, Euro-Par 2004, Pisa, Italy, LNCS, Springer, 2004.
50. W. Liu, B. Schmidt, Parallel Design Pattern for Computational Biology and Scientific Computing, IEEE International Conference on Cluster Computing (Cluster 2003), Hong Kong, 2003.

Telephone


Email: weiguo.liu@sdu.edu.cn

HPCL Homepage: http://www.sdu-hpcl.org/