About me

Introdution

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

B.E. in Software Engineering @SYSU

Ph.D student in Data Science and Analytic @HKUST(GZ)

Publications

• W. Luo, Y. Chen, X. Yu, Q. Wang, R. Fan, H. Liu, and X. Chu, “ROME: Maximizing GPU Efficiency for All-Pairs Shortest Path via Taming Fine-Grained Irregularities,” In Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP), Sydney, NSW, Australia, 2026, pp. 204-217
• R. Fan, X. Yu, X. Pan, Z. Li, W. Luo, Q. Wang, W. Wang, X. Chu, “ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Loss-less Compression,” In Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Pittsburgh, PA, USA, 2026, pp. xxx-xxx
• R. Fan, X. Yu, Z. Li, W. Luo, G. Gong, X. Chu, “DynSpAttn: Efficient Attention via Dual-Side Dynamic Sparsity on Sparse Tensor Cores,” In Proceedings of the 40th ACM International Conference on Supercomputing (ICS), Belfast, Northern Ireland, United Kingdom, 2026, pp. xxx-xxx
• W. Luo, R. Fan, Z. Li, D. Du, Q. Wang and X. Chu, “Benchmarking and Dissecting the Nvidia Hopper GPU Architecture,” 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS), San Francisco, CA, USA, 2024, pp. 656-667
• Q. Wang, L. Li, W. Luo, Y. Zhang and B. Wang, “DSO: A GPU Energy Efficiency Optimizer by Fusing Dynamic and Static Information,” 2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), Guangzhou, China, 2024, pp. 1-6

Selected Awards

🏆ASC20-21 Student Supercomputer Challenge First Prize ($3^{st}$ place) & Highest Linpack Prize

🥇First Class Scholarship @SYSU

🏆Elite Scholarship @SYSU

🏆Samsung Scholarship

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