PF-LLM: Large Language Model Hinted Hardware Prefetching

Entropy Xu (徐策羽) obtained his Ph.D. in the Computer Science Department at Duke University. His research focuses on the intersection of computer architecture and machine learning, with two main directions: designing efficient computer architectures for machine learning algorithms and developing machine learning algorithms for efficient computer architectures. His interests include Machine Learning Hardware Accelerator, Large Language Models, Compression and Quantization, and AI for EDA. HKUST Official Profile Page

Xiangfeng Sun is an Ph.D. student at the Hong Kong University of Science and Technology specializing in computer architecture and VLSI. He aims for his research to be both meaningful and interesting.

Chen Bai’s research interests include computer architecture and electronic design automation. He received best paper awards from ICCAD 2021 and ISPD 2024.

Bangyan Wang (王邦彦) is at a start-up. His research interests focus on applying AI and formal methods to hardware verification and generation. In the past, his major focus was on computer architecture, including multicore scheduling problems and instruction extension design for semi-general-purpose scenarios.

Fang Professor of Engineering | Chair Professor | IEEE/ACM/AAAS Fellow