I am Diandian Gu (谷 典典), an ML system researcher/developer. I received my Ph.D. degree from Computer Systems Research Group, Peking University, advised by Prof. Xuanzhe Liu and Prof. Xin Jin. Previously, I received my B.S. in Computer Science from Peking University.
My research mainly focuses on systems for machine learning, distributed deep learning, and cluster resource management. I am also interested in software engineering.
Selected Conference Publications
|
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning |
| Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu | |
| Proceedings of 28th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'23) | |
| [PDF] [Code] | |
|
|
|
|
Promal: Precise Window Transition Graphs for Android via Synergy of Program Analysis and Machine Learning |
| Changlin Liu, Hanlin Wang, Tianming Liu, Diandian Gu, Yun Ma, Haoyu Wang, Xusheng Xiao | |
| Proceedings of 44th International Conference on Software Engineering (ICSE'22) | |
| [PDF][Code] | |
|
|
|
|
LinkRadar: Assist the Analysis of Inter-app Page Links via Transfer Learning |
| Diandian Gu, Ziniu Hu, Shangchen Du, Yun Ma | |
| Proceedings of 28th Conference on Information and Knowledge Management (CIKM'19) | |
| [PDF] [Slides] [Poster] |
Selected Preprint & Journal Publications
|
GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads |
| Diandian Gu, Yihao Zhao, Peng Sun, Xin Jin, Xuanzhe Liu | |
| IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 36, No. 2 (February 2025) | |
| [PDF] | |
|
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism |
| Diandian Gu, Peng Sun, Qinghao Hu, Ting Huang, Xun Chen, Yingtong Xiong, Guoteng Wang, Qiaoling Chen, Shangchun Zhao, Jiarui Fang, Yonggang Wen, Tianwei Zhang, Xin Jin, Xuanzhe Liu | |
| ArXiv preprint 2406.18485 (June 2024) | |
| [PDF] | |
|
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective |
| Xuanzhe Liu, Diandian Gu, Zhenpeng Chen, Jinfeng Wen, Zili Zhang, Yun Ma, Haoyu Wang, Xin Jin | |
| ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 32, No. 6, Article 156 (September 2023) | |
| [PDF][Code] | |
|
Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps |
| Yun Ma, Ziniu Hu, Diandian Gu, Li Zhou, Qiaozhu Mei, Gang Huang, Xuanzhe Liu | |
| ACM Transactions on the Web (TWEB), Vol. 14, No.3, Article 14 (June 2020) | |
| [PDF] |
I’m actively maintaining a personal blog in madarin Chinese, which is about summaries of papers/codes I read. The topics include machine learning systems, distributed training, serverless computing, etc. Anyone is welcomed to leave comments and discuss with me!
|
I am not only a researcher but also a dancer. I am interested in old school dance and interesting choreographies. |
| I am a member of the hiphop team of FL Crew. |