"外面不安的世界骚动的心情,不能熄灭曾经你拥有的炙热的心."
Dr. Ang Li is a senior computer scientist in the Physical and Computational Sciences Directorate (PCSD) of Pacific Northwest National Laboratory (PNNL) and affiliated Associated Professor with the ECE department of University of Washington (UW). He received his bachelor degree from the CS department of Zhejiang University, China, in 2010, and two PhD degrees from the Electrical and Computer Engineering (ECE) department of National University of Singapore (NUS), Singapore, and the Electrical Engineering (EE) department of Eindhoven University of Technology (TU/e), The Netherlands, in 2016. He jointed PNNL since Nov, 2016 and affiliated with UW since Oct, 2023. His research has been focusing on software-hardware co-design for scalable heterogeneous HPC, particularly GPUs, since 2009. His research covers full-stack design from circuit level up to architecture, system, library, and applications. He has published in major HPC conferences and journals including SC, ICS, PPoPP, IPDPS, HPDC, ASPLOS, MICRO, HPCA, ICPP, CGO, IISWC, EuroPar, TPDS, TC, ICPE, etc. His lead-author work was nominated for best paper award in SC-15, SC-17, IISWC-18 and SC-20. He received the European HiPEAC paper award, and PNNL's PCSD Outstanding Performance award. He served as organizing committee or review committee member for major HPC conferences including PPoPP, SC, ASPLOS, PACT, ISCA, IPDPS, etc. He used to work in industry as a HPC application developer, where he led the evaluation, development, and optimization of several industrial HPC applications. He also worked as a research intern in the INRIA-Lab in Paris-Sud University, France and Chinese University of Hong Kong.
His research interest includes:
- Software-Hardware Co-design for HPC accelerators, particularly GPUs, and domain-specific accelerators
- Performance Modeling and Evaluation for HPC Architecture and Applications
- Scalable Quantum Circuit Simulation, Transformation and Verification
- Binarized Neural Network
Service (PC/ERC)
- 2024: HPCA, SC, CC, IPDPS, ISCA, ICS, QCE, MICRO
- 2023: IPDPS, ISCA, MLSys, CC, SC, ICPP, QCE, SBAC-PAD
- 2022: ASPLOS, PPoPP, ISCA, MICRO, SC, ISC, SBAC-PAD, HiPC, CC, ICRC
- 2021: SC, PPoPP, ISCA, MICRO, IPDPS, Cluster, LCTES, TPDS-SS, SBAC-PAD, HiPC, HPCC
- 2020: PPoPP, ISCA, SPAD-BAC, HPCC, TPDS-SS, SC-MLHPC
- 2019: PPoPP, PACT, NPC, RTSS-AE
- 2018: PPoPP-AE, NPC, ASPLOS-SRC
- Journal Review: TPDS, TC, TOPC, CSUR, DB, JPDC, JSA, CAL, TACO, TNNLS, JCSC, TCAS-I/II, MICPRO, FGCS, TODAES, COSE, CVIU, Nature-NPJQI, SPE, TECS, IEEE Micro, Nature-ScientificReport, TQC, TQE, SNCS, Quantum
Mentoring (PhD & Postdoc):
- 2023: Yue Shi (UW), Meng Wang (UBC), Mengqing Zheng (Lehigh), Zirui Mao (PNNL), Habeebat Elwalily (Middlesex County College), Chenxu Liu (PNNL), Xinyi Li (Utah), Fei Hua (Rutgers)
- 2022: Xinyi Li (Utah), Muqing Zheng (Lehigh), Anbang Wu (UCSB), Fei Hua (Rutgers), Zheng Wang (UCSB), Anqi Guo (Boston U), Chunshu Wu (Boston U), Kendric Hood (Kent State), Hongwu Peng (UConn), Yuke Wang (UCSB), Mao Lin (UC Merced), Bo Fang (PNNL)
- 2021: Muqing Zheng (Lehigh), Luke Zhang (Rice), Anqi Guo (Boston U), Fei Hua (Rutgers), Xinyi Li (Utah), Tong Geng (PNNL), Cheng Tan (PNNL), Chenhao Xie (PNNL)
- 2020: Komail Dharsee (Rochester U), Lele Ma (W&M), Jou-An Chen (NCSU)
- 2019: Linghao Song (Duke), Tong Geng (Boston U), Erika Leal (UTA)
- 2018: Tong Geng (Boston U), Pengfei Zou (Clemson)
Publications
2024:
- [ICS-24] "SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications", Pouya Haghi, Cheng Tan, Anqi Guo, Chunshu Wu, Dongfang Liu, Ang Li, Anthony Skjellum, Tong Geng and Martin Herbordt, International Conference on Supercomputing, Kyoto, Japan. June 4-7, 2024.
- [ISCA-24] "DS-GL: Advancing Graph Learning via Harnessing the Power of Nature within Dynamic Systems", Ruibing Song, Chunshu Wu, Chuan Liu, Ang Li, Michael Huang and Tong Geng, International Symposium on Computer Architecture, Buenos Aires, Argentina. Jun 29-Jul 3, 2024 (Accepted)
- [EPJA] "Deep Quantum Circuit Simulations of Low-energy Nuclear States", Ang Li, Alessandro Baroni, Ionel Stetcu, and Travis S. Humble. The European Physical Journal A. DOI:10.1140/epja/s10050-024-01286-7. (Accepted) [arXiv]
- [arXiv] "AQM: A Refresh of the Abstract Qubit Model for Quantum Codesign", Chenxu Liu, Samuel Stein, Muqing Zheng, James Ang, and Ang Li, 2024. [arXiv]
- [arXiv] "Accurate and Data-Efficient Micro-XRD Phase Identification using Multi-Task Learning: Application to Hydrothermal Fluids", Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li and Xin Zhang, 2024. [arXiv]
- [TC] "FPGA-Accelerated Range-Limited Molecular Dynamics", Chunshu Wu, Chen Yang, Sahan Bandara, Tong Geng, Anqi Guo, Pouya Haghi, Ang Li and Martin Herbordt, IEEE Transactions on Computers, 2024. 10.1109/TC.2024.3375613
- [ICPE-24] "Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs", Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin Barker and Ang Li, 15th ACM/SPEC International Conference on Performance Engineering, South Kensington, London, UK. May 7-11, 2024. DOI:10.1145/3629527.3651428 [arXiv]
- [PES-24] "Early Exploration of a Flexible Framework for Efficient Quantum Linear Solvers in Power Systems", Muqing Zheng, Yousu Chen, Xiu Yang, and Ang Li, IEEE Power and Energy Society General Meeting, Seattle, WA, USA. July 21-25, 2024. [arXiv]
- [CCGrid-24] "A Testing-Guided Approach to Characterize NVIDIA and AMD Matrix Accelerator Numerics ", Xinyi Li, Ang Li, Bo Fang, Ignacio Laguna, Ganesh Gopalakrishnan, 24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, Philadelphia, PA, USA. May 6-9, 2024.
- [PSCC-24] "Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control", Qiuhua Huang, Renke Huang, Tianzhixi Yin, Sohom Datta, Xueqing Sun, Jason Hou, Jie Tan, Wenhao Yu, Yuan Liu, Xinya Li, Bruce Palmer, Ang Li, Xinda Ke, Marianna Vaiman, Song Wang, Yousu Chen, the 23rd Power Systems Computation Conference, Paris-Saclay, France. June 4-7, 2024.
- [JCIM] "Acceleration of Graph Neural Network-based Predication Models in Chemistry via Co-design Optimization on Intelligence Processing Units", Hatem Helal, Jesun Firoz, Jenna Bilbrey, Henry Sprueill, Kristina Herman, Mario Krell, Tom Murray, Manuel Roldan, Mike Kraus, Ang Li, Payel Das,Sotiris Xantheas, Sutanay Choudhury, Journal of Chemical Information and Modeling. DOI:10.1021/acs.jcim.3c01312 [arXiv][link]
- [TQE] "A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity", Ryan L'Abbate, Anthony D'Onofrio JR., Samuel Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao, IEEE Transactions on Quantum Engineering. DOI:10.1109/TQE.2024.3367234 [link]
- [EABE] "A GPU Accelerated Mixed-precision Smoothed Particle Hydrodynamics Framework with Cell-based Relative Coordinates", Zirui Mao, Xinyi Li, Shenyang Hu, Ganesh Gopalakrishnan, Ang Li, Engineering Analysis with Boundary Elements, Elsevier. DOI:10.1016/j.enganabound.2024.01.020
- [ICLR-24] "NP-GL: Extending Power of Nature from Binary to Real-World Graph Learning", Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael Huang, Tong Geng, 12th International Conference on Learning Representations, Vienna, Austria. May 7-12, 2024.
- [ICASSP-24] "Quapprox: A Framework for Benchmarking the Approximability of Variational Quantum Circuit", Jinyang Li, Ang Li and Weiwen Jiang, 2024 IEEE International Conference on Accoustics, Speech and Signal Processing, Seoul, South Korea. April 14-19, 2024.
- [ASPLOS-24] "Red-QAOA: Efficient Variational Optimization through Circuit Reduction", Meng Wang, Bo Fang, Ang Li and Prashant Nair, ACM International Conference on Architectural Support for Programming Languages and Operating Systems, San Diego, CA, USA. April 27- May 1, 2024. DOI:10.1145/3620665.3640363
- [ASPLOS-24] "RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing", Zheng Wang, Yuke Wang, Jiaqi Deng, Ang Li and Yufei Ding, ACM International Conference on Architectural Support for Programming Languages and Operating Systems, San Diego, CA, USA. April 27- May 1, 2024. DOI:10.1145/3620665.3640406
2023:
- [arXiv] "Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions", Many Authors. [arXiv]
- [arXiv] "Unleashed from Constrained Optimization: Quantum Computing for Quantum Chemistry Employing Generator Coordinate Method", Muqing Zheng, Bo Peng, Ang Li, Xiu Yang, and Karol Kowalski. [arXiv]
- [arXiv] "Co-Designed Superconducting Architecture for Lattice Surgery of Surface Codes with Quantum Inferface Routing Card", Charles Guinn, Samuel Stein, Esin Tureci, Guus Avis, Chenxu Liu, Stefan Krastanov, Andrew A. Houck, Ang Li. [arXiv]
- [arXiv] "Multi-mode Cavity Centric Archtiectures for Quantum Simulation", Samuel Stein, Fei Hua, Chenxu Liu, Charles Guinn, James Ang, Eddy Zhang, Srivatsan Chakram, Yufei Ding and Ang Li [arXiv]
- [arXiv] "Quantum Memory: A Missing Piece in Quantum Computing Units", Chenxu Liu, Meng Wang, Samuel Stein, Yufei Ding and Ang Li [arXiv]
- [arXiv] "QASMTrans: A QASM based Quantum Transpiler Framework for NISQ Devices", Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel Stein, Yufei Ding, Eddy Z. Zhang, Travis S. Humble, Ang Li [arXiv]
- [arXiv] "MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications", Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant Nair, Kevin Barker, and Ang Li [arXiv]
- [arXiv] "Optimal Synthesis of Stabilizer Codes via MaxSAT", Keyi Yin, Hezi Zhang, Yunong Shi, Travis Humble, Ang Li and Yufei Ding [arXiv]
- [MICRO-23] "Microarchitectures for Heterogeneous Superconducting Quantum Computers", Samuel Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Fred T. Chong, Andrew A. Houck, Issac L. Chuang, Michael Austin DeMarco, 56th IEEE/ACM International Symposium on Microarchitecture, Toronto, Canada. Oct 28-Nov 1, 2023. DOI:10.1145/3613424.3614300 [arXiv][Link]
- [MICRO-23] "QuComm: Optimizing Collective Communication for Distributed Quantum Computing", Anbang Wu, Yufei Ding and Ang Li, 56th IEEE/ACM International Symposium on Microarchitecture, Toronto, Canada. Oct 28-Nov 1, 2023. DOI: 10.1145/3613424.3614253 [arXiv][Link]