"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 Associated Professor with the ECE department of University of Washington (UW) with dual appointment. 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 dual-appointed with UW ECE 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)
- 2025: HPCA, IPDPS, ISCA, ICLR, PLDI, ICS
- 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):
- 2024: Anastashia Jebraeilli (GSU), Sean Garner (UW), Nidhi Munikote (USC), Matthew Burns (Rochester), Yue Shi (UW), Meng Wang (UBC), Muqing Zheng (PNNL), Chenxu Liu (PNNL), Xinyi Li (PNNL), Zirui Mao (PNNL), Peiyi Li (NCSU)
- 2023: Yue Shi (UW), Meng Wang (UBC), Muqing 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
2025:
- [ASPLOS] "QECC-Synth: A Layout Synthesizer for Quantum Error Correction Codes on Sparse Architecture", Keyi Yin, Hezi Zhang, Xiang Fang, Yunong Shi, Travis Humble, Ang Li, and Yufei Ding. Rotterdam, Netherlands, Mar 30-Apr 3, 2025 (Accepted)
- [PPoPP] "ATTNChecker: Highly-Optimized Fault Tolerant Attention for Large Language Model Training", Yuhang Liang, Bo Fang, Xinyi Li, Jie Ren, Ang Li and Jieyang Chen. Las Vegas, NV, Mar 1-5, 2025 (Accepted)
- [PPoPP] "Accelerating GNNs on GPU Sparse Tensor Cores through N:M Sparsity-Oriented Graph Reordering", Jou-An Chen, Hsin-Hsuan Sung, Ang Li, and Xipeng Shen. Las Vegas, NV, Mar 1-5, 2025 (Accepted)
2024:
- [arXiv] "Architectures for Heterogeneous Quantum Error Correction Codes", Samuel Stein, Shifan Xu, Andrew Cross, Theodore yoder, Ali Javadi-Abhari, Chenxu Liu, Kun Liu, Victor Zhou, Charles Guinn, Yufei Ding, Yongshan Ding and Ang Li [arXiv]
- [NPJQI] "Unleashed from Constrained Optimization: Quantum Computing for Quantum Chemistry Employing Generator Coordinate Method", Muqing Zheng, Bo Peng, Ang Li, Xiu Yang, and Karol Kowalski. npj Quantum Information, Nature (Accepted) [arXiv]
- [arXiv] "GALIC: Hybrid Multi-Qubitwise Pauli Grouping for Quantum Computing Measurement", Matthew Burns, Chenxu Liu, Samuel Stein, Bo Peng, Karol Kowalski and Ang Li [arXiv]
- [arXiv] "A GPU Accelerated Mixed-Precision Finite Difference Informed Random Walker (FDiRW) Solver for Strongly Inhomogeneous Diffusion Problems", Zirui Mao, Shenyang Hu and Ang Li [arXiv]
- [arXiv] "Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models", Chuan Liu, Chunshu Wu, Mingkai Che, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Dongfang Liu, Ying Nian Wu, and Tong Geng [arXiv]
- [arXiv] "On Scaling Up 3D Gaussian Splatting Training", Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie [arXiv]
- [arXiv] "Inertial Confinement Fusion Forecasting via LLMs", Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng and Dongfang Liu [arXiv]
- [AISY] "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. Advanced Intelligent Systems. Wiley. DOI:10.1002/aisy.202400204. [arXiv][Link]
- [MICRO] "FlexiSCD: Flexible Surface Code Deformer for Dynamic Defects", Keyi Yin, Xiang Fang, Travis Humble, Ang Li, Yunong Shi, and Yufei Ding. IEEE/ACM International Symposium on Microarchitecture. Austin, TX, Nov 2-6, 2024. [arXiv]
- [MICRO] "Bridging the Gap between LLMs and LNS with Dynamic Data Format and Architecture Codesign", Pouya Haghi, Chunshu Wu, Zahra Azad, Yanfei Li, Andrew Gui, Yunchen Hao, Ang Li and Tong Geng. IEEE/ACM International Symposium on Microarchitecture. Austin, TX, Nov 2-6, 2024.
- [QCE] "Benchmarking Optimizers for Qumode State Preparation with Variational Algorithms", Shuwen Kan, Miguel Palma, Zefan Du, Samuel Stein, Chenxu Liu, Juntao Chen, Ang Li and Ying Mao. IEEE International Conference on Quantum Computing and Engineering. Montreal, Canada. Sep 15-20, 2024. [arXiv]
- [QCE] "Scalable Circuit Cutting and Scheduling in a Resource-constrained and Distributed Quantum System", Shuwen Kan, Zefan Du, Miguel Palma, Samuel Stein, Chenxu Liu, Wenqi Wei, Juntao Chen, Ang Li and Ying Mao. IEEE International Conference on Quantum Computing and Engineering. Montreal, Canada. Sep 15-20, 2024. [arXiv]
- [TQC] "ARQUIN: Architectures for Multinode Superconducting Quantum Computers", James Ang, Gabriella Carini, Yanzhu Chen, Issac Chuang, Michael Austin DeMarco, Sophia E. Economou, Alec Eickbusch, Andrei Faraon, Kai-Mei Fu, Steven M. Girvin, Michael Hatridge, Andrew Houck, Paul Hilaire, Kevin Krsulich, Ang Li, Chenxu Liu, Yuan Liu, Margaret Martonosi, David C. McKay, James Misewich, Mark Ritter, Robert J. Schoelkopf, Samuel A. Stein, Sara Sussman, Hong X. Tang, Wei Tang, Teague Tomesh, Norm M. Tubman, Chen Wang, Nathan Wiebe, Yong-Xin Yao, Dillon C. Yost, and Yiyu Zhou, ACM Transactions on Quantum Computing. DOI:10.1145/3674151 [arXiv][Link]
- [Cluster] "Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience", Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant Nair, Kevin Barker, and Ang Li. IEEE International Conference on Cluster Computing, IEEE. Kobe, Japan. Sep 24-27, 2024. [arXiv]
- [FGCS] "Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions", Many Authors. Future Generation Computer Systems, Elsevier. DOI:10.1016/j.future.2024.04.060 [Link][arXiv]
- [ATC] "OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model", Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding, 2024 USENIX Annual Technical Conference [Link].
- [IEEE Access] "How much can we gain from Tensor Kernel Fusion on GPUs", Wei Sun, Ang Li, Sander Stuijk and Henk Corporaal, IEEE Access. DOI:10.1109/ACCESS.2024.3411473. [Link]
- [arXiv] "Design of an Entanglement Purification Protocol Selection Module", Yue Shi, Chenxu Liu, Samuel Stein, Meng Wang, Muqing Zheng, and Ang Li [arXiv].
- [arXiv] "TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC", Ang Li, Chenxu Liu, Samuel Stein, In-Saeng Suh, Muqing Zheng, Meng Wang, Yue Shi, Bo Fang, Martin Roetteler, and Travis Humble. [arXiv].
- [arXiv] "An Early Investigation of the HHL Quantum Linear Solver for Scientific Applications", Muqing Zheng, Chenxu Liu, Samuel Stein, Xiangyu Li, Johannes Mulmenstadt, Yousu Chen, and Ang Li. [arXiv]
- [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. DOI:10.1145/3650200.3656616
- [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. DOI:10.1109/ISCA59077.2024.00014
- [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.[arXiv][Link]
- [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]
- [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. DOI:10.1109/CCGrid59990.2024.00014
- [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. DOI:10.1109/ICASSP48485.2024.10447919
- [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] "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]
- [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]