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2020 – today
- 2025
[c5]Yangtao Deng, Xiang Shi, Zhuo Jiang, Xingjian Zhang, Lei Zhang, Zhang Zhang, Bo Li, Zuquan Song, Hang Zhu, Gaohong Liu, Fuliang Li, Shuguang Wang, Haibin Lin, Jianxi Ye, Minlan Yu:
Minder: Faulty Machine Detection for Large-scale Distributed Model Training. NSDI 2025: 505-521- [i6]Size Zheng, Jin Fang, Xuegui Zheng, Qi Hou, Wenlei Bao, Ningxin Zheng, Ziheng Jiang, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Xin Liu:
TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives. CoRR abs/2503.20313 (2025) - [i5]Ruidong Zhu, Ziheng Jiang, Chao Jin, Peng Wu, Cesar A. Stuardo, Dongyang Wang, Xinlei Zhang, Huaping Zhou, Haoran Wei, Yang Cheng, Jianzhe Xiao, Xinyi Zhang, Lingjun Liu, Haibin Lin, Li-Wen Chang, Jianxi Ye, Xiao Yu, Xuanzhe Liu, Xin Jin, Xin Liu:
MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism. CoRR abs/2504.02263 (2025) - [i4]Size Zheng, Wenlei Bao, Qi Hou, Xuegui Zheng, Jin Fang, Chenhui Huang, Tianqi Li, Haojie Duanmu, Renze Chen, Ruifan Xu, Yifan Guo, Ningxin Zheng, Ziheng Jiang, Xinyi Di, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Liqiang Lu, Yun Liang, Jidong Zhai, Xin Liu:
Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler. CoRR abs/2504.19442 (2025) - 2024
- [c4]Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI 2024: 745-760 - [i3]Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR abs/2402.15627 (2024) - [i2]Yangtao Deng, Xiang Shi, Zhuo Jiang, Xingjian Zhang, Lei Zhang, Zhang Zhang, Bo Li, Zuquan Song, Hang Zhu, Gaohong Liu, Fuliang Li, Shuguang Wang, Haibin Lin, Jianxi Ye, Minlan Yu:
Minder: Faulty Machine Detection for Large-scale Distributed Model Training. CoRR abs/2411.01791 (2024) - 2023
- [i1]Xinhao Kong, Yibo Zhu, Huaping Zhou, Zhuo Jiang, Jianxi Ye, Chuanxiong Guo, Danyang Zhuo:
Collie: Finding Performance Anomalies in RDMA Subsystems. CoRR abs/2304.11467 (2023) - 2022
- [c3]Xinhao Kong, Yibo Zhu, Huaping Zhou, Zhuo Jiang, Jianxi Ye, Chuanxiong Guo, Danyang Zhuo:
Collie: Finding Performance Anomalies in RDMA Subsystems. NSDI 2022: 287-305 - 2020
- [c2]Jianbo Dong, Zheng Cao
, Tao Zhang, Jianxi Ye, Shaochuang Wang, Fei Feng, Li Zhao, Xiaoyong Liu, Liuyihan Song, Liwei Peng, Yiqun Guo, Xiaowei Jiang, Lingbo Tang, Yin Du, Yingya Zhang, Pan Pan, Yuan Xie:
EFLOPS: Algorithm and System Co-Design for a High Performance Distributed Training Platform. HPCA 2020: 610-622 - no results
2010 – 2019
- 2016
- [c1]Chuanxiong Guo, Haitao Wu, Zhong Deng, Gaurav Soni, Jianxi Ye, Jitu Padhye, Marina Lipshteyn:
RDMA over Commodity Ethernet at Scale. SIGCOMM 2016: 202-215 - no results
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