The Hong Kong University of Science and Technology (Guangzhou)
Ph.D. student in Data Science and Analytics
Introduction
Hi, I am Weile Luo. I am a fourth-year PhD student at the Hong Kong University of Science and Technology (Guangzhou), under the supervision of Xiaowen Chu and Hongyuan Liu. My research interests are irregular workloads such as graph analytics on GPUs.
Education
Sun Yat-sen University
B.E. in Software Engineering
Publications
6 papers2026
Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis
ACM Transactions on Computer Systems · Early Access
ROME: Maximizing GPU Efficiency for All-Pairs Shortest Path via Taming Fine-Grained Irregularities
Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP) · pp. 204–217
ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (ASPLOS) · pp. 2264–2280
DynSpAttn: Efficient Attention via Dual-Side Dynamic Sparsity on Sparse Tensor Cores
Proceedings of the 40th ACM International Conference on Supercomputing (ICS) · pp. 1053–1064
2024
Benchmarking and Dissecting the Nvidia Hopper GPU Architecture
2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS) · pp. 656–667
DSO: A GPU Energy Efficiency Optimizer by Fusing Dynamic and Static Information
2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS) · pp. 1–6
Selected Awards
ASC20–21 Student Supercomputer Challenge First Prize (3rd place) & Highest Linpack Prize
First Class Scholarship · Sun Yat-sen University
Elite Scholarship · Sun Yat-sen University
Samsung Scholarship