Highly-motivated PhD students are sought to start in Spring/Fall 2017 under Professor Dong Li in the areas of large-scale parallel systems, and parallel and distributed systems. Funding for students is expected to be in the form of research and/or teaching assistantships.
Dr. Dong Li is an assistant professor in the Department of Electrical Engineering and Computer Science, University of California, Merced since 2015. He is the director of Parallel Architecture, System, and Algorithm Lab (PASA). Previously (2011-2014), he was a research scientist at the Oak Ridge National Laboratory (ORNL). Before that, he earned his PhD in computer science from Virginia Tech. Dong received a CAREER Award from U.S. National Science Foundation in 2016, and an ORNL/CSMD Distinguished Contributor Award (2013). His paper in SC'14 was nominated as the best student paper. He is also the lead PI for NVIDIA CUDA Research Center at UC Merced.
Dong's research focuses on high performance computing (HPC), and maintains a strong relevance to computer systems. The core theme of his research is to study how to enable scalable and efficient execution of enterprise and scientific applications on increasingly complex large-scale parallel systems. His work creates innovation in runtime, architecture, performance modeling, and programming models; His work often coordinates software and hardware to solve resilience and power challenges. He also investigates the impact of novel architectures (e.g., non-volatile memory and accelerator with massive parallelism) on the designs of applications and runtime. Dong's approach to research has always been application-driven. He believes measuring and understanding characteristics of realistic large-scale parallel applications is critical to identify problems, provoke thought and prevent fundamental design flaws.
In collaboration with industry, DOE laboratories, and universities, Dong has been involved in various DOE, DOD and NSF projects related to HPC. His work was published in a number of premier HPC conferences. He is a program committee member in a number of international conferences and workshops.
Selected Recent Publications (a complete list of the publication can be found from here)
- [HPDC'16] Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, and Sparsh Mittal. "Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory", In 25th ACM International Symposium on High Performance Parallel and Distributed Computing, 2016
- [ICS’15] Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, and Jeffrey S. Vetter. “Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations”, In 29th ACM International Conference on Supercomputing, 2015
- [SC'14] Li Yu, Dong Li, Sparsh Mittal, and Jeffrey S. Vetter. “Quantitatively Modeling Application Resiliency with the Data Vulnerability Factor”. In 26th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, 2014 (nominated for the best student paper)
- [MICRO'14] Guoyang Chen, Bo Wu, Dong Li, and Xipeng Shen. “PORPLE: An Extensible Optimizer for Portable Data Placement”, In 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014
- [HPDC'14] Sparsh Mittal, Jeffrey S. Vetter, and Dong Li. “Improving Energy Efficiency of Embedded DRAM Caches for High-end Computing Systems”. In 23rd ACM International Symposium on High Performance Parallel and Distributed Computing, 2014
- [11/2016] Our poster is nominated as the best poster (2.9% of all poster submissions) in SC'16.
- [6/2016] We are selected as an NVIDIA Research Center with Dong as the lead PI.
- [5/2016] Undergraduate student, Hanlin He, won School of Engineering Outstanding Student Award in the class of 2016. Congratulations, Hanlin!
- [5/2016] Three students in PASA lab get internships during the summer! They are PhD student Luanzheng Guo (Lawrence Livermore National Lab), and undergraduate students Hanlin He and Kian Bradley (Lawrence Berkeley National Lab). Congratulations, students!
- [3/2016] A paper (Algorithm-directed Data Placement in Explicitly Managed Non-Volatile Memory) is accepted by HPDC'16.
- [1/2016] Dong received an NSF CAREER Award.
- [9/2015] The PhD student, Yingchao Huang, is selected as a student volunteer for SC'15.
- [8/2015] 2 PhD students and 3 Master students joined PASA!
- [7/2015] A paper (Fast Fault Injection and Sensitivity Analysis for Collective Communications) is accepted by Cluster'15.
- PC member: IPDPS'17, NAS (2016-2017), SC'15, CCGrid (2012-2017), Cluster (2015-2016), ISC (2013-2016), etc.
- External reviewers: PPoPP'14, SC'13, Euro-par'12, HPDC'11, etc.
- Editorial position: co-editor, special Issue of the Journal of High Performance Computing Applications for the fourth International Workshop on Accelerators and Hybrid Exascale Systems
- PC (co-) chair: PASA (2012, 2013, and 2016), HP-PAC (2013 and 2014)
- Steering committee: PASA (2014 and 2015)
- Publicity chair: International Conference on Green Computing and Communications (GreenCom), 2012
- 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.
- Yingchao Huang (PhD student, since 2015 Fall)
- Luanzheng Guo (PhD student, since 2015 Fall)
- Kai Wu (PhD student, since 2016 Summer)
- Hanlin He (PhD student, since 2016 Fall)
- Wei Liu (Master student, since 2015 Fall)
- Yaorong Fan (Master student, since 2016 Fall)
- Jing Liang (Undergraduate student, since 2016 Summer)
- Nigel Tan (Undergraduate student, since 2016 Summer)
- Himanshu Pillai (Master student, graduated in 2016. First employment: Uber)
- 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 Berkeley National Lab
- NVIDIA (Equipment donation)
- University of California, Merced