Short Bio

Hello! My name is Hao Qi, a Ph.D. student in the PADSYS Lab at University of California, Merced. My advisor is Prof.Xiaoyi Lu. Previously (2019-2021), I was a Ph.D. student at the Ohio State University (OSU). I got my M.S. degree in Biomedical Engineering from OSU before I joined the PADSYS Lab.

Research Interests

My research interests mainly include high-performance computing, parallel computing, and system for machine learning.

Publications

• [ICNP '24] KSpeed: Beating I/O Bottlenecks of Data Provisioning for RDMA Training Clusters
• [IEEE Micro'24] High-Speed Data Communication with Advanced Networks in Large Language Model Training
• [HotI '23] Performance Characterization of Large Language Models on High-Speed Interconnects
• [IPDPS '23] SBGT: Scaling Bayesian-based Group Testing for Disease Surveillance
• [JCST '23] xCCL: A Survey of Industry-Led Collective Communication Libraries for Deep Learning
• [SC '23] Early Experience in Characterizing Training Large Language Models on Modern HPC Clusters
• [TBench '22] Understanding hot interconnects with an extensive benchmark survey