Hongyuan Liu
Email: hongyuanliu at hkust-gz edu cn
Office: E1-513
I am an assistant professor at The Hong Kong University of Science and Technology (Guangzhou). I work in the areas of computer architecture and parallel computing.
I obtained my Ph.D. degree at William & Mary advised by Adwait Jog. I received my M.Sc. degree at the University of Hong Kong working with Cho-Li Wang, and my B.Eng. degree from Shandong University.
Research
- ngAP: Non-blocking Large-scale Automata Processing on GPUs. Tianao Ge, Tong Zhang, Hongyuan Liu. ASPLOS 2024
- Asynchronous Automata Processing on GPUs. Hongyuan Liu, Sreepathi Pai, Adwait Jog. SIGMETRICS 2023
- Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog. CLUSTER 2021
- Why GPUs are Slow at Executing NFAs and How to Make them Faster. Hongyuan Liu, Sreepathi Pai, Adwait Jog. ASPLOS 2020
- Analyzing and Leveraging Remote-core Bandwidth for Enhanced Performance in GPUs. Mohamed Assem Ibrahim, Hongyuan Liu, Onur Kayiran, Adwait Jog. PACT 2019
- Architectural Support for Efficient Large-Scale Automata Processing. Hongyuan Liu, Mohamed Assem Ibrahim, Onur Kayiran, Sreepathi Pai, Adwait Jog. MICRO 2018
- On-GPU Thread-Data Remapping for Branch Divergence Reduction. Huanxin Lin, Cho-Li Wang, Hongyuan Liu. TACO 2018
- Lightweight Dependency Checking for Parallelizing Loops with Non-deterministic Dependency on GPU. Hongyuan Liu, King Tin Lam, Huanxin Lin, Cho-Li Wang, Junchao Ma. ICPADS 2016
Team
- Tianao Ge (Fall 2022)
- Zhenlin Wu (Fall 2022)
- Zihang Chen (Fall 2023)
- Bi Zeng (Fall 2023)
- Haosong Zhao (Fall 2023)
Teaching
- UFUG2601: C++ Programming (Fall 2023, co-teach with Prof. Yangdi Lyu)
- MICS6000J: GPU Architectures and Programming (Fall 2023)
- MICS6000R: Advanced Compilers (Spring 2023)
- MICS6000J: GPU Architectures and Programming (Fall 2022)