James Lin (林新华)

Vice Director/Assocaite Professor

Office:

Room 503, Network Center,
800 Dongchuan Rd, Shanghai, China 200240

Email:

james AT sjtu.edu.cn

Homepage:

https://hpc.sjtu.edu.cn/~lin

Google Scholar

Short Bio

Dr. James Lin co-founded the High-Performance Computing Center at Shanghai Jiao Tong University in 2012 and has served as the vice director since then. The center is one of the leading university-level supercomputer centers in China, with the fastest supercomputer Siyuan-1 (6PFlops) and the largest HPC team (30+ members) of any university in China.

His current research interests include performance analysis at the microarchitecture level for emerging many-core processors, and large-scale applications on supercomputers. He has published more than 30 papers on these topics. He has served on the steering committee of IEEE CLUSTER (2020-) and the standing committee of CCF TCHPC (2020-). Additionally, he has served as a TPC member and reviewer for many HPC conferences and journals, including SC, IPDPS, and Transaction on Computers (TC). He is a senior member of the ACM and CCF.

In 2002, he earned a BS degree in Computer Science from Zhejiang University, and in 2005, a MS degree in Computer Science from Shanghai Jiao Tong University. In 2018, he was awarded a PhD in mathematics and computing science from Tokyo Institute of Technology, under the supervision of Prof. Satoshi Matsuoka.

Higher Level Education

• Tokyo Institute of Technology, Japan, Mathematical and Computing Science, Ph.D., 2013-2018
  Supervisor: Professor Satoshi Matsuoka
• Shanghai Jiao Tong University, China, Computer Science, M.S., 2002-2005
  Supervisor: Professor Xinda Lu
  
• Zhejiang University, China, Computer Science, B.S., 1998-2002
  

Professional Appointments

• Shanghai Jiao Tong University, China
  • High Performance Computing Center
    Vice Director, 2012-present
    Associate Professor of Engineering, 2015-present
    Assistant Professor, 2012-2014
  • Department of Computer Science
    Assistant Professor, 2008-2011
    Research Associate, 2005-2007
• Tokyo Institute of Technology, Japan
  
  • Global Scientific Information and Computing Center (GSIC)
    Visiting Fellow, 2016-2018
    Visiting Associate, 2013-2015

Honors & Awards

• Outstanding Contribution Award, Green Computing Consortium, 2019
• CCF Senior Member, 2019
• ACM Senior Member, 2018
• SMC-Excellent Young Faculty Award, Shanghai Jiao Tong University, 2016-2018
• RONPAKU Fellowship, Japan Society for the Promotion of Science, 2013-2016
• Outstanding Teaching Award, Shanghai Jiao Tong University, 2013

Supercomputers I've Designed

• Supercomputer π 1.0, 2013-2019, was the largest one in the China's universities.
• Supercomputer π 2.0, 2019-present

Research Projects

• PI, NSFC, Research on Essential Mechanisms and Key Technologies of Processor Performance Variations in Large-scale Computing Systems (NO.62072300), 2021-2024
• Key member, The National Key R&D Program of China, Research on National HPC environment service mechanism and support architecture (NO.2016YFB0201400), 2016-2018
• PI, Intel Parallel Computing Center, 2017-2018
• Co-PI, NSF, Performance Scalability and Portability on Advanced HPC Systems (NO.ACI-1440733), 2016-2017, with Prof. William Tang
• PI, NVIDIA CUDA Center of Excellence (CCoE), 2011-2016
• PI, NVIDIA Academic Partnership, 2009

Major Academic Services

Standing Committee

• TCHPC, China Computer Federation (CCF), 2020-present

Steering Committees

• IEEE International Conference on Cluster Computing (Cluster), 2020-2022
• Intel eXtreme Performance Users Group (IXPUG), 2018-present

Organizing Committees

• Technical Program Archives Vice Chair, IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2019
• Co-Chair, Intel eXtreme Performance Users Group (IXPUG) Asia Workshop, 2019
• Publicity co-chair, ACM International Conference on Computing Frontiers (CF), 2019, 2021
• Publicity co-chair, International Conference on Parallel Architectures and Compilation Techniques (PACT), 2019
• Chair, the ARM HPC Workshop in China, 2018-2019
• Chair, Intel Parallel Computing Center (IPCC) Asia Summit, 2018
• Publicity co-chair, IEEE International Conference on Parallel Processing (ICPP), 2017
• Publicity co-chair, IEEE International Conference on Cluster Computing (Cluster), 2016
• Co-Chair, IEEE TCSC Scalable Computing (SCALE) Challenge, 2015

Program Committees:

• IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2013, 2016
• IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2017
• International Conference on Parallel Processing (ICPP), 2016-2017
• IEEE International Conference on Cluster Computing (Cluster): 2015-2016, 2020
• IEEE International Conference on High Performance Computing and Communications (HPCC), 2017

Selected Publications

• Bozitao Zhong, Xiaoming Su, Minhua Wen, Sicheng Zuo, Liang Hong, James Lin. ParaFold: Paralleling AlphaFold for Large-Scale Predictions. HPC Asia 2022.
• Binrui Li, Chenggan Chen, James Lin. tcFFT: A Fast Half-Precision FFT Library for NVIDIA Tensor Cores. IEEE CLUSTER 2021.
• Yi-Chao Wang, Jie Wang, Jin-Kun Chen, Si-Cheng Zuo, Xiao-Ming Su and James Lin. NeoMPX: Characterizing and Improving Estimation of Multiplexing Hardware Counters for PAPI. IEEE CLUSTER 2020.
• S. Chen, H.-R. Yu, D. Inman, Q. Liao, Q. Wu, and J. Lin, Cube - towards an optimal scaling of cosmological n-body simulations, in 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), IEEE, 2020.
• Y.-C. Wang, J.-K. Chen, B.-R. Li, S.-C. Zuo, W. Tang, B. Wang, Q.-C. Liao, R. Xie, and J. Lin, An empirical study of hpc workloads on huawei kunpeng 916 processor, in 2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS), pp. 360-367, IEEE, 2019.
• J. Lin, Z. Xu, L. Cai, A. Nukada, and S. Matsuoka, Evaluating the sw26010 many-core processor with a micro-benchmark suite for performance optimizations, Parallel Computing, vol. 77, pp. 128- 143, 2018.
• J. Lin, M. Wen, D. Meng, X. Liu, A. Nukada, and S. Matsuoka, Optimizing preconditioned conjugate gradient on taihulight for openfoam, in 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pp. 273-282, IEEE, 2018.
• L. Cai, Y.-C. Wang, W. Tang, B. Wang, S. Ethier, Z. Liu, and J. Lin, Openacc vs the native programming on sunway taihulight: A case study with gtc-p, in 2018 IEEE International Conference on Cluster Computing (CLUSTER), pp. 88-97, IEEE, 2018.
• C. Liu, J. Wei, Y.-C. Wang, M. Wen, S. See, and J. Lin, Optimizing deep learning frameworks incrementally to get linear speedup: A comparison between ipoib and rdma verbs, in 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS), pp. 473-480, IEEE, 2018.
• M. Wen, M. Chen, and J. Lin, Optimizing a particle-in-cell code on intel knights landing, in Proceedings of Workshops of HPC Asia, pp. 71-74, ACM, 2018.
• J. Lin, Z. Xu, A. Nukada, N. Maruyama, and S. Matsuoka, Optimizations of two compute-bound scientific kernels on the sw26010 many-core processor, in 2017 46th International Conference on Parallel Processing (ICPP), pp. 432-441, IEEE, 2017.
• Z. Xu, J. Lin, and S. Matsuoka, Benchmarking sw26010 many-core processor, in 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 743-752, IEEE, 2017.
• D. Meng, M. Wen, J. Wei, and J. Lin, Hybrid implementation and optimization of openfoam on the sw26010 many-core processor, HPC China, 2016.
• Y. Wang, J. Lin, L. Cai, W. Tang, S. Ethier, B. Wang, S. See, and S. Matsuoka, Porting and optimizing gtc-p on taihulight supercomputer with sunway openacc, HPC China, 2016.
• Y. Wei, Y. Wang, L. Cai, W. Tang, B. Wang, S. Ethier, S. See, and J. Lin, Performance and portability studies with openacc accelerated version of gtc-p, in 2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), pp. 13-18, IEEE, 2016.
• S. Li and J. Lin, Accelerating asian option pricing on many-core architectures, Concurrency and Computation: Practice and Experience, vol. 28, no. 3, pp. 848-865, 2016.
• D. Ding, M. Wen, S. Zhou, M. Chen, and J. Lin, Optimization and evaluation of vlpl-s particle- in-cell code on knights landing, HPC China, 2016.