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Ruiming Lu > Building reliable LLM training infrastructure at Tencent Hunyuan I received my Ph.D from Shanghai Jiao Tong University, advised by Prof. Guangtao Xue and Prof. Minglu Li. In 2023-2024, I spent a wonderful year as a visiting PhD student at OrderLab, University of Michigan, Ann Arbor, hosted by Prof. Ryan Huang. I visited the Systems Research Group | MSR Asia during Fall 2024, hosted by Dr. Jilong Xue. I received B.S. (Electrical and Computer Engineering) in 2020 from UM-SJTU Joint Institute. Email / CV / Google Scholar / Github |
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ResearchMy research interests span computer systems, including distributed (training) systems, OS, and storage, with a special focus on fault tolerance. I am currently working on systematic solutions to tackle the reliability and efficiency bottlenecks inherent in training large foundation models. |
Selected Publications (See full publication list) |
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One-Size-Fits-None: Understanding and Enhancing Slow-Fault Tolerance in Modern Distributed Systems
Ruiming Lu, Yunchi Lu, Yuxuan Jiang, Guangtao Xue, Peng Huang NSDI 2025 [PDF] [Slides] [Software] Coverage [UMich CSE] [Tech XPlore] |
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Perseus: A Fail-Slow Detection Framework for Cloud Storage Systems
Ruiming Lu*, Erci Xu*, Yiming Zhang, Fengyi Zhu, Zhaosheng Zhu, Mengtian Wang, Zongpeng Zhu, Guangtao Xue, Jiwu Shu, Minglu Li, Jiesheng Wu (*Co-first) FAST 2023 (🏆 Best Paper Award, Inivited to Appear in USENIX ;login:, Fast-tracked to ToS) [PDF] [Slides] [Video] [Dataset] Coverage [AliCloud] [CitiNews] |
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NVMe SSD Failures in the Field: the Fail-Stop and the Fail-Slow
Ruiming Lu*, Erci Xu*, Yiming Zhang, Zhaosheng Zhu, Mengtian Wang, Zongpeng Zhu, Guangtao Xue, Minglu Li, Jiesheng Wu (*Co-first) ATC 2022 [PDF] [Slides] [Video] [Dataset] Coverage [ChinaSys] [Shanghai Computer Association - Storage] |
Professional Service |