Dr. Dong Li is an associate professor at University of California, Merced. He is the director of Parallel Architecture, System, and Algorithm Lab (PASA) and a co-director of High Performance Computing Systems and Architecture Group at UC Merced. Previously (2011-2014), he was a research scientist at the Oak Ridge National Laboratory (ORNL). Before that, he earned a PhD in computer science from Virginia Tech. He is an associate editor for IEEE Transactions on Parallel and Distributed Systems (TPDS). Dong's research focuses on high performance computing (HPC), and maintains a strong relevance to computer systems (especially systems for large-scale AI/ML).

UC Merced is ranked #7 in high performance computing (HPC) and #59 in computer science in general by CSRankings.

Recent Research Impacts

Awards

  • Oracle Research Award, 2022
  • ASPLOS Distinguished Artifact Award, 2021
  • Facebook Faculty Research Award, 2021
  • Berkeley Lab University Faculty Fellowship, 2016
  • NSF CAREER Award, 2016
  • SC best poster nomination (2.9% of all poster submissions), 2016
  • SC best student paper nomination, 2014
  • Oak Ridge National Lab (CSMD) Distinguished Contributor Award, 2013

Current Research Topics

Selected Recent Publications (a complete list of the publication can be found from here)

  • [PPoPP'23] Zhen Xie, Jie Liu, and Jiajia Li and Dong Li. "Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness". In 28th Principles and Practice of Parallel Programming, 2023
  • [ASPLOS'23] Shuangyan Yang, Minjia Zhang, Wenqian Dong, and Dong Li. "Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning". In 28th Architectural Support for Programming Languages and Operating Systems, 2023
  • [ATC'22] Xin He, Jianhua Sun, Hao Chen, and Dong Li. "Campo: A Cost-Aware and High-Performance Mixed Precision Optimizer for Neural Network Training". In USENIX Annual Technical Conference, 2022
  • [VLDB'21] Jie Liu, Wenqian Dong, Qingqing Zhou, and Dong Li. "Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation". In 47th International Conference on Very Large Data Bases, 2021
  • [ATC'21] Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li and Yuxiong He. "ZeRO-Offload: Democratizing Billion-Scale Model Training". In USENIX Annual Technical Conference, 2021
  • [EuroSys'21] Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu and Dong Li. "Tahoe: Tree Structure-Aware High Performance Inference Engine for Decision Tree Ensemble on GPU". In European Conference on Computer Systems, 2021
  • [FAST'21] Kai Wu, Jie Ren, Ivy Peng and Dong Li. "ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory". In the 19th USENIX Conference on File and Storage Technologies, 2021
  • [ASPLOS'21] Bang Di, Jiawen Liu, Hao Chen and Dong Li. "Fast, Flexible and Comprehensive Bug Detection for Persistent Memory Programs". In 26th Architectural Support for Programming Languages and Operating Systems 2021 (Distinguished Artifact Award)
  • [PPoPP'21] Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li and Jiajia Li. "Sparta: High-Performance, Element-Wise SparseTensor Contraction on Heterogeneous Memory". In 26th Principles and Practice of Parallel Programming 2021
  • [HPCA'21] Jie Ren, Jiaolin Luo, Kai Wu, Minjia Zhang, Hyeran Jeon and Dong Li. "Sentinel: Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning". In 27th IEEE International Symposium on High-Performance Computer Architecture, 2021
  • [ICS'21] Zhen Xie, Wenqian Dong, Jie Liu, Ivy Peng, Yanbao Ma and Dong Li. "MD-HM: Memoization-based Molecular Dynamics Simulations on Big Memory System". In 35th International Conference on Supercomputing, 2021
  • [ICS'21] Xin He, Jiawen Liu, Zhen Xie, Hao Chen, Guoyang Chen, Weifeng Zhang and Dong Li. "Enabling Energy-Efficient DNN Training on Hybrid GPU-FPGA Accelerators". In 35th International Conference on Supercomputing, 2021
  • [ICS'21] Jie Ren, Jiaolin Luo, Ivy Peng, Kai Wu and Dong Li. "Optimizing Large-Scale Plasma Simulations on Persistent Memory-based Heterogeneous Memory with Effective Data Placement Across Memory Hierarchy". In 35th International Conference on Supercomputing, 2021
  • [ICS'21] Jiawen Liu, Dong Li, Roberto Gioiosa and Jiajia Li. "Athena: High-Performance Sparse Tensor Contraction Sequence on Heterogeneous Memory". In 35th International Conference on Supercomputing, 2021

Recent News

  • [12/2022] Welcome new PhD students, Bin Ma and Jianbo Wu!
  • [11/2022] Invited as a panelist in the panel on "AI for HPC" in Seventh International Workshop on Extreme Scale Programming Models and Middleware associated with SC'22.
  • [11/2022] Co-chaired AI for Scientific Applications workshop associated with SC'22.
  • [11/2022] Thanks Lawrence Livermore National Lab (LLNL) for supporting our research on heterogeneous memory!
  • [11/2022] Thanks Oracle for supporting our research on large-scale AI model training!
  • [11/2022] Group meeting with DarchR Lab@UC Davis for research collaboration.
  • [11/2022] A paper "Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness" is accepted to PPoPP'23.
  • [11/2022] Prof. Jian Huang@UIUC visited us and gave a talk "The ISA of Future Storage Systems: Interface, Specialization and Approach".
  • [9/2022] A paper on using heterogeneous memory to train GNN (titled "Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning") is accepted to ASPLOS'23.
  • [8/2022] Welcome new PhD student, Jin Huang!
  • [8/2022] Thanks SK hynix for supporting our research on heterogeneous memory.
  • [6/2022] A paper on mixed-precision AI model training is accepted into ATC'22.
  • [5/2022] Dong Xu and Jie Liu will go to SK hynix and Tencent for summer internship. Congratulations!
  • [4/2022] Congratulations to my student, Jie Ren. She will join the College of William and Mary as a tenure-track assistant professor since fall!
  • [4/2022] Congratulations to my student, Wenqian Dong. She will join the Florida International University as a tenure-track assistant professor since fall!
  • [4/2022] Congratulations to my student, Jiawen Liu. He will join the Meta (facebook) AI Research.
  • A paper, "Campo: A Cost-Aware and High-Performance Mixed Precision Optimizer for Neural Network Training", is accepted to ATC'22.

Selected Services

  • PC member and chairmanship: ICS'23, ICML'23, ICDCS'23, CLOUD'23, ICS'22 (PC and online activity chair), SC'22, HPDC'22 (poster and travel grant chair), ICS'21, SC'21, ICML'21, HPDC'21 (poster co-chair), IPDPS'21, IPDPS'20 (primary PC), NeurIPS'20, HPDC'18-20 (travel chair), ICPP'19-20, SC'18, ASPLOS'18 (shadow PC), Cluster'18 (poster chair), IPDPS'17, NAS (2016-2017), SC'15, CCGrid (2012-2018 and 2023), Cluster (2015-2020), ISC (2013-2016), etc.
  • PC (co-) chair: Cluster (data/storage track, 2023), HCA (2023), PASA (2012, 2013, and 2016), HP-PAC (2013 and 2014)
  • Editorial position: TPDS review board member; Co-editor, special Issue of the Journal of High Performance Computing Applications for the fourth International Workshop on Accelerators and Hybrid Exascale Systems
  • Steering committee: PASA (2014 and 2015)
  • Technical reviewers for major journals: IEEE Transaction on Parallel and Distributed Systems (TPDC), IEEE Transaction on Reliability (TR), IEEE Transaction on Computers (TC), Journal of Parallel and Distributed Computing (JPDC), Journal of Supercomputing, International Journal of High Performance Computing, etc.
  • External reviewers: PPoPP'14, SC'13, Euro-par'12, HPDC'11, etc.

Current Students

  • Jie Liu (PhD student, since 2019 Spring)
  • Shuangyan Yang (PhD student, since 2021 Spring)
  • Dong Xu (PhD student, since 2021 Fall)
  • Jin Huang (PhD student, since 2022 Fall)
  • Bin Ma (PhD student, since 2023 Spring)
  • Jianbo Wu (PhD student, since 2023 Spring)

Alumni

  • Jie Ren (PhD student, graduated in May 2022. First employment: assistant professor at William and Mary)
  • Wenqian Dong (PhD student, graduated in May 2022. First employment: assistant professor at Florida International University)
  • Jiawen Liu (PhD student, graduated in May 2022. First employment: Meta Research)
  • Zhen Xie (Postdoc, left in May 2021. First employment: Argonne National Lab)
  • Kai Wu (PhD student, graduated in May 2021. Current employment: Microsoft)
  • Luanzheng Guo (PhD student, graduated in Oct 2020. First employment: Pacific Northwest National Lab)
  • Neelam Sinha (Master student, graduated in 2020. First employment: National Cancer Institute)
  • Hanlin He (Master student, graduated in 2018. First employment: Byton)
  • Wei Liu (Master student, graduated in 2017. First employment: ctrip)
  • Himanshu Pillai (Master student, graduated in 2016. First employment: Barcelona Supercomputer Center)
  • Armando Montanez. (Undergraduate student, graduated in 2018, as the UC Merced outstanding student. Join Google)
  • Jing Liang (Undergraduate student, graduated in 2017. First employment: )
  • Nigel Tan (Undergraduate student, graduated in 2017. Join Rice as a PhD student)
  • Hanlin He (Undergraduate student, graduated in 2016, as the UC Merced outstanding student. Join PASA as a PhD student)
  • Zachary Canann (Undergraduate student, graduated in 2016, as the UC Merced outstanding student. First employment: PayPal)
  • Kevin Song (Undergraduate student, graduated in 2015, as the UC Merced outstanding student. Join UT Austin as a PhD student)

Research Sponsors: Our research is generously supported by:

  • National Science Foundation
  • Lawrence Livermore National Lab
  • Argonne National Lab
  • Lawrence Berkeley National Lab
  • SK Hynix
  • NVIDIA
  • Meta
  • Western Digital
  • Oracle
  • Intel (Equipment donation)
  • Xilinx (Equipment donation)
  • University of California, Merced