University of California, Merced
Dr. Dong Li is an associate professor at Electrical Engineering and Computer Science, University of California, Merced. He is the director of Parallel Architecture, System, and Algorithm Lab (PASA).
Email: dli35@ucmerced.edu
Dong is a Ph.D. student with research interests in memory systems and deep learning. To be specific, he studies large deep-learning model training and inference with tiered memory (especially CXL-based one).
Email: dxu17@ucmerced.edu
Bin is a Ph.D. student with research interests in memoization and memory management on tiered memory, especially for deep learning workloads and scientific workloads.
Email: bma100@ucmerced.edu
Sherry is a Ph.D. student with research interests in system software to support tiered memory (including emerging CXL memory).
Email: swang166@ucmerced.edu
Dinghong (co-advised with Prof. Pengfei Su) is a Ph.D. student with research interests in performance optimization on emerging accelerators to support LLM inference.
Email: dsong15@ucmerced.edu
Hexiao (co-advised with Prof. Xiaoyi Lu) is a Ph.D. student with research interests in parallelism management and I/O performance optimization to support LLM inference (including de-centeralized AI model inference).
Email: hduan8@ucmerced.edu
Han is a Ph.D. student with research interests in AI model inference on emerging tiered memory architecture.
Email: hanmeng@ucmerced.edu
Shangye Chen, Jianbo Wu, Neelam Sinha (NHGRI), Hanlin He (Byton), Yaorong Fan, Wei Liu (Baidu), Himanshu Pillai (MSBAI).
Jing Liang, Nigel Tan (Rice University), Armando Montanez (Google), Logan Smith, Zachary Canann (PayPal), Kevin Song (UT Austin).
Bang Di and Xin He.