发表论文
1. Xiaohui Duan, Jin Wang, Ping Gao, Ming Ma, Lin Gan, Xin Liu, Haohuan Fu, Wei Xue, Dexun Chen, Guangwen Yang, Weiguo Liu: Enabling Real World Scale Structural Superlubricity All-Atom Simulation on the Next-Generation Sunway Supercomputer, 10.1145/3581784.3613210, the International Conference for High Performance Computing, Networking, Storage and Analysis 2023 (SC 23), November 12–17, 2023.
2. Wubing Wan, Lin Gan, Wenqiang Wang, Zekun Yin, Haodong Tian, Zhenguo Zhang, Yinuo Wang, Mengyuan Hua, Xiaohui Liu, Shengye Xiang, Zhongqiu He, Zijia Wang, Ping Gao, Xiaohui Duan, Weiguo Liu, Wei Xue, Haohuan Fu, Guangwen Yang, Xiaofei Chen, Zeyu Song, Yaojian Chen, Xin Liu, and Wei Zhang: 69.7-PFlops Extreme Scale Earthquake Simulation with Crossing Multi-faults and Topography on Sunway, 10.1145/3581784.3613209, the International Conference for High Performance Computing, Networking, Storage and Analysis 2023 (SC 23), November 12–17, 2023.
3. Ping Gao, Xiaohui Duan, Bertil Schmidt, Wubing Wan, Jiaxu Guo, Wusheng Zhang, Lin Gan, Haohua Fu, Wei Xue, Weiguo Liu, Guangwen Yang: Redesign and Accelerate the AIREBO Bond-Order Potential on the New Sunway Supercomputer, 10.1109/TPDS.2023.3321927, IEEE Transactions on Parallel and Distributed Systems, 2023.
4. Borui Xu, Zeyi Wen, Lifeng Yan, Zhan Zhao, Zekun Yin, Weiguo Liu, Bingsheng, He: Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs, International Conference on Data Mining (ICDM 2023).
5. Lifeng Yan, Zekun Yin, Hao Zhang, Zhan Zhao, Mingkai Wang, André Müller, Felix Kallenborn, Alexander Wichmann, Yanjie Wei, Beifang Niu, Bertil Schmidt, Weiguo Liu: RabbitQCPlus 2.0: More efficient and versatile quality control for sequencing data, 10.1016/j.ymeth.2023.06.007, Methods, 2023.
6. Xiaoming Xu, Zekun Yin, Hao Zhang, Borui Xu, Yanjie Wei, Beifang Niu, Bertil Schmidt, Weiguo Liu: RabbitTClust: enabling fast clustering analysis of millions of bacteria genomes with MinHash sketches, 10.1186/s13059-023-02961-6, Genome Biology, 2023.
7. Xiaohui Duan, Qi Shao, Junben Weng, Bertil Schmidt, Lin Gan, Guohui Li, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang: Bio-ESMD: A Data Centric Implementation for Large-Scale Biological System Simulation on Sunway TaihuLight Supercomputer, 10.1109/TPDS.2022.3220559, IEEE Transactions on Parallel and Distributed Systems, 2023.
8. Hao Zhang, Zekun Yin, Yanjie Wei, Bertil Schmidt, Weiguo Liu: DeepFilter: A Deep Learning Based Variant Filter for VarDict, 10.26599/TST.2022.9010032, Tsinghua Science and Technology, 2023.
9. Kai Xu, Jinxiao Zhang, Xiaohui Duan, Xiaobo Wan, Niu Huang, Bertil Schmidt, Weiguo Liu, Guangwen Yang: Redesigning and Optimizing UCSF DOCK3.7 on Sunway TaihuLight, IEEE Transactions on Parallel and Distributed Systems, 2022.
10. Borui Xu, Tong Zhang, Weiguo Liu: A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction, to appear in the 15th International Conference on Knowledge Science, Engineering and Management (KESM 2022).
11. Bin Yang, Wei Xue, Tianyu Zhang, Xiaosong Ma, Xiyang Wang, Weiguo Liu, End-to-end I/O Monitoring on Leading Supercomputers. accepted by ACM Transactions on Storage (TOS), 2022.
12. Bin Yang, Yanliang Zou, Weiguo Liu and Xue wei. An End-to-end and Adaptive I/O Optimization Tool for Modern HPC Storage Systems. IEEE International Parallel and Distributed Processing Symposium (IPDPS 2022).
13. Hao Zhang, Qixin Chang, Zekun Yin, Xiaoming Xu, Yanjie Wei, Bertil Schmidt, Weiguo Liu, RabbitV: fast detection of viruses and microorganisms in sequencing data on multi-core architectures, Bioinformatics, https://doi.org/10.1093/bioinformatics/btac187, 2022.
14. Kai Xu, Xianhui Duan, Andre Mueller, Robin Kobus, Bertil Schmidt, Weiguo Liu. FMapper: Scalable read mapper based on succinct hash index on SunWay TaihuLight. Journal of Parallel and Distributed Computing, Volume 161, March 2022, Pages 72-82.
15. Ping Gao, Xiaohui Duan, Weiguo Liu, Wusheng Zhang, Wei Xue, Haohuan Fu, Lin Gan, Dexun Chen, Xiangxu Meng, Guangwen Yang: LMFF: Efficient and Scalable Layered Materials Force Field on Heterogeneous Many-Core Processors. SC 2021: https://doi.org/10.1145/3458817.3476137
16. Ping Gao, Xiaohui Duan, Bertil Schmidt, Wusheng Zhang, Lin Gan, Haohuan Fu, Wei Xue, Weiguo Liu, Guangwen Yang. Optimization of Reactive Force Field Simulation: Refactor, Parallelization, and Vectorization for Interactions. TPDS Feb. 2022, pp. 359-373, vol. 33
17. Z. Yin, X. Xu, Z. Zhang, Y. Wei, B. Schmidt, W. Liu, RabbitMash: Accelerating hash-based genome analysis on modern multi-core architectures, Bioinformatics, btaa754, Digital Object Identifier: 10.1093/bioinformatics/btaa754
18. Z. Yin, H. Zhang, M. Liu, W. Zhang, H. Song, H. Lan, Y. Wei, B. Niu, B. Schmidt, W. Liu, RabbitQC: High-speed scalable quality control for sequencing data, Bioinformatics, btaa719, Digital Object Identifier: 10.1093/bioinformatics/btaa719
19. P. Gao, X. Duan, T. Zhang, M. Zhang, B. Schmidt, X. Zhang, H. Sun, W. Zhang, L. Gan, W. Xue, H. Fu, W. Liu, G. Yang: Millimeter-scale and Billion-atom Reactive ForceField Simulation on Sunway Taihulight, IEEE Transactions on Parallel and Distributed Systems, page(s): 0 Print ISSN: 1045-9219 Online ISSN: 1045-9219 Digital Object Identifier: 10.1109/TPDS.2020.3008499
20. X. Duan, P. Gao, M. Zhang, T. Zhang, H. Meng, X. Li, B. Schmidt, L. Gan, H. Fu, W. Xue, W. Liu, G. Yang, etc.: Cell-list based Molecular Dynamics on Many-core Processors: A Case Study on Sunway TaihuLight Supercomputer, the International Conference for High Performance Computing, Networking, Storage and Analysis 2020 (SC 20), November 15–20, 2020, Atlanta, GA, USA.
21. K. Xu, X. Duan, X. Meng, X. Li, B. Schmidt, W. Liu: SWMapper: Scalable Read Mapper on SunWay TaihuLight, 49th International Conference on Parallel Processing (ICPP 2020) August 17-20, 2020, Edmonton, Alberta, Canada
22. H. Lan, J. Meng, C. Hundt, B. Schmidt, M. Deng, X. Wang, W. Liu, Y. Qiao, S. Feng: FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures, IEEE Transactions on Parallel and Distributed Systems, Page(s): 580 – 594, Volume 31, Issue 3, 2019.
23. T. Zhang, Y. Li, X. Duan, P. Gao, M. Zhang, W. Liu, Z. Liu, L. Gan, H. Fu, W. Xue, G. Yang, etc.: SW_Gromacs: Acceletate Gromacs on Sunway Taihulight, SC 2019.
24. K. Xu, Z. Song, Y. Chan, S. Wang, X. Meng, W. Liu, W. Xue: Refactoring and Optimizing WRF Model on Sunway TaihuLight, ICPP 2019.
25. Z. Yin, T. Zhang, H. Liu, Y. Wei, B. Schmidt, W. Liu: Efficient Parallel Sort on AVX-512-based Multi-core and Many-core Architectures, HPCC 2019.
26. Z. Yin, H. Zhang, P. Shao, X. Wang, B. Schmidt, W. Liu: XLCS: A New Bit-Parallel Longest Common Subsequence Algorithm on Xeon Phi Clusters, HPCC 2019.
27. Bin Yang; Xu Ji, Xiaosong Ma, Xiyang Wang, Tianyu Zhang, Xiupeng Zhu, Nosayba El-Sayed, Haidong Lan, Yibo Yang, Jidong Zhai, Weiguo Liu and Wei Xue: End-to-end I/O Monitoring on a Leading Supercomputer, NSDI 2019.
28. Xu Ji, Bin Yang, Tianyu Zhang, Xiaosong Ma, Xiupeng Zhu, Xiyang Wang, Nosayba EI-Sayed, Jidong Zhai, Weiguo Liu and Wei Xue;: Automatic, Application-Aware I/O Forwarding Resource Allocation for High-end System, FAST 2019.
29. J. Zhang, H. Lan, Y. Chan, Y. Shang, B. Schmidt, W. Liu: BGSA: A Bit-Parallel Global Sequence Alignment Toolkit for Multi-core and Many-core Architectures, accepted by Bioinformatics, 2019. (impact factor: 5.481)
30. X. Duan, P. Gao, T. Zhang, M. Zhang, W. Liu, W. Zhang, W. Xue, H. Fu, L. Gan, D. Chen, X. Meng, G. Yang: Redesigning LAMMPS for Peta-scale and Hundred-billion-atom Simulation on Sunway TaihuLight, SC 2018, Dallas, Texas, USA, 2018.
31. K. Xu, R. Kobus, Y. Chan, P. Gao, X. Meng, Y. Wei, B. Schmidt, W. Liu: SPECTR: Scalable Parallel Short Read Error Correction on Multi-core and Many-core Architectures, ICPP 2018, Eugene, Oregon, USA, 2018.
32. H. Zhang, Y. Chan, K. Fan, B. Schmidt and W. Liu: Fast and efficient short read mapping based on a succinct hash index, BMC Bioinformatics, 19:92, 2018. (impact factor: 2.448)
33. Y. Chan, K. Xu, H. Lan, B. Schmidt, S. Peng, and W. Liu: MyPhi: Efficient Levenshtein Distance Computation on Xeon Phi based Architectures, Current Bioinformatics, 2018. (impact factor: 0.6)
34. 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)
35. Haohuan Fu, Conghui He, Bingwei Chen, Zekun Yin, Zhenguo Zhang, Wenqiang Zhang, Tingjian Zhang, Wei Xue, Weiguo Liu, Wanwang Yin, Guangwen Yang, Xiaofei Chen: 18.9-Pflops Nonlinear Earthquake Simulation on Sunway TaihuLight: Enabling Depiction of 18-Hz and 8-Meter Scenarios, the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2017), Denver, USA, November, 2017. (ACM Gordon Bell Prize)
36. 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.
37. Zekun Yin, Haidong Lan, Guangming Tan, Mian Lu, Athanasios V. Vasilakos, Weiguo Liu: Computing Platforms for Big Biological Data Analytics: Perspectives and Challenges, accepted by Computational and Structural Biotechnology Journal, 2017. (CiteScore: 3.16)
38. Peng S, Yang S, Su W, Zhang X, Zhang T, Liu W, Zhao XM: A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer, accepted by IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017. (impact factor:1.609)
39. 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)
40. 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)
41. 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.
42. 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.
43. 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).
44. 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).
45. 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).
46. 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).
47. 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.
48. 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.
49. S. Zhang and W. Liu: Parallel Monte Carlo Option Pricing Algorithms on Hybrid Heterogeneous Many-Core Architectures, CCF HPC China 2014.
50. 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.
51. X. Duan, K. Zhao, and W. Liu: 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.
52. 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.
53. 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.
54. 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.
55. 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
56. 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)
57. 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.
58. 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.
59. 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)
60. 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.
61. 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)
62. 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).
63. 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.
64. 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)
65. 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)
66. 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.
67. 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.
68. 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)
69. 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)
70. 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.
71. 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.
72. 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.
73. 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.
74. 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.
75. 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)
76. 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)
77. 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.
78. 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.
79. W. Liu, B. Schmidt, Mapping of Hierarchical Parallel Genetic Algorithms for Protein Folding onto Computational Grids, IEEE Tencon 2005, Melbourne, Australia, 2005.
80. 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.
81. 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.
82. W. Liu, B. Schmidt, A Generic Parallel Pattern-based System for Bioinformatics, Euro-Par 2004, Pisa, Italy, LNCS, Springer, 2004.
83. W. Liu, B. Schmidt, Parallel Design Pattern for Computational Biology and Scientific Computing, IEEE International Conference on Cluster Computing (Cluster 2003), Hong Kong, 2003.
