Contributor
Biography
Dong Li is an associate professor at EECS, University of California, Merced. Previously, he was a research scientist at the Oak Ridge National Laboratory (ORNL). Dong earned his PhD in computer science from Virginia Tech. His 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 (including large-scale AI models) on increasingly complex parallel systems. Dong received an ORNL/CSMD Distinguished Contributor Award in 2013, a CAREER Award from the National Science Foundation in 2016, a Berkeley Lab University Faculty Fellowship in 2016, a Facebook research award in 2021, and an Oracle research award in 2022. His paper in SC14 was nominated as the best student paper. His paper in ASPLOS'21 won the distinguished artifact award. He was also the lead PI for the NVIDIA CUDA Research Center at UC Merced. He is an associate editor for IEEE Transactions on Parallel and Distributed Systems (TPDS).
Presentations
Workshop
Data Movement and Memory
Fault Handling and Tolerance
Hardware Technologies
Heterogeneous Computing
I/O and File Systems
Performance Measurement, Modeling, and Tools
Programming Frameworks and System Software
Security
W
Workshop
Distributed Computing
Middleware and System Software
Runtime Systems
W
Chair of Sessions
Workshop
Artificial Intelligence/Machine Learning
W