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), studying computer architecture and programming models for next generation supercomputer systems. His research focuses on high performance computing, 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 scientific applications on increasingly heterogeneous large-scale parallel systems. Dong received an ORNL/CSMD Distinguished Contributor Award in 2013, a CAREER Award from the National Science Foundation in 2016, and Facebook faculty research award in 2021. 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.
Presentations
Panel
Recorded
Heterogeneous Systems
Memory Systems
TP
XO/EX
Workshop
Recorded
AI-HPC Convergence
Extreme Scale Computing
Parallel Programming Languages and Models
Performance
Runtime Systems
W
Chair of Sessions
Panel
Recorded
Heterogeneous Systems
Memory Systems
TP
XO/EX