PF-LLM: Large Language Model Hinted Hardware Prefetching
March 22, 2026·
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Ceyu Xu
Xiangfeng Sun
Weihang Li
Chen Bai
Bangyan Wang
Mengming Li
Zhiyao Xie
Yuan Xie
Type
Publication
Proceedings of the 31th ACM International Conference on Architectural Support for Programming Languages and Operating Systems 🏆Best Paper Award
Authors
Research Assistant Professor
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
Authors
Ph.D. Student
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.
Authors
Postdoctoral Researcher
Chen Bai’s research interests include computer architecture and electronic design automation. He received best paper awards from ICCAD 2021 and ISPD 2024.
Authors
Postdoctoral Researcher
Bangyan Wang (王邦彦) is a Postdoc in FACT Lab. His current 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.
Authors
Chair Professor
Fang Professor of Engineering | Chair Professor | IEEE/ACM/AAAS Fellow