Jianxi Ye

According to our database, Jianxi Ye authored at least 15 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

BURST: Seeking High-performance, Interoperability and Scalability in Soft-RDMA.

Huijun Shen, Zelong Yue, Jian Yang, Zhuo Jiang, Lang An, Yulin Chen, Yong Zhang, Luochangqi Ding, Xiaolong Zhong, Zhihong Wang, Jie Ding, Hongyu Wu, Jianxi Ye, Xijin Yin, Xingyu Zhang, Xingyu Guo, Guo Chen

Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

Handling Network Faults in Distributed AI Training: Failover is Now an Option.

Xin Zhe Khooi, Zhuo Jiang, Pan Xie, Zhigang Cui, Meng Wang, Yuze Jin, Pengfei Huo, Dongyang Wang, Lulu Chen, Lei Wang, Liaoyuan Feng, Xiaodong Liu, Peng Li, Qinlong Wang, Yang Bai, Yongcan Wang, Hao Jin, Jinshuai Sun, Shan Lu, Xiang Shi, Yingkai Zhao, Haiquan Chen, Yi Li, Jianxi Ye, Mun Choon Chan

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler.

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

CoRR, April, 2025

MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism.

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

CoRR, April, 2025

Barre: Empowering Simplified and Versatile Programmable Congestion Control in High-Speed AI Clusters.

Yajuan Peng, Haoran Wei, Xiaolong Zhong, Junkai Huang, Haohan Xu, Zicheng Wang, Yang Bai, Zhuo Jiang, Jianxi Ye, Xiaoliang Wang, Xiaoming Fu, Huichen Dai

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training.

Yangtao Deng, Lei Zhang, Qinlong Wang, Xiaoyun Zhi, Xinlei Zhang, Zhuo Jiang, Haohan Xu, Lei Wang, Zuquan Song, Gaohong Liu, Yang Bai, Shuguang Wang, Wencong Xiao, Jianxi Ye, Minlan Yu, Hong Xu

Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

MegaScale-Infer: Efficient Mixture-of-Experts Model Serving with Disaggregated Expert Parallelism.

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

Proceedings of the ACM SIGCOMM 2025 Conference, 2025

From ATOP to ZCube: Automated Topology Optimization Pipeline and A Highly Cost-Effective Network Topology for Large Model Training.

Zihan Yan, Dan Li, Li Chen, Dian Xiong, Kaihui Gao, Yiwei Zhang, Rui Yan, Menglei Zhang, Bochun Zhang, Zhuo Jiang, Jianxi Ye, Haibin Lin

Proceedings of the ACM SIGCOMM 2025 Conference, 2025

Minder: Faulty Machine Detection for Large-scale Distributed Model Training.

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

Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives.

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

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

UCM: Fast and Maintainable User-space RDMA Connection Setup.

Huijun Shen, Jian Yang, Zelong Yue, Xingyu Guo, Xijin Yin, Lang An, Yulin Chen, Jie Ding, Hongyu Wu, Yong Zhang, Jianxi Ye, Guo Chen

Proceedings of the 9th Asia-Pacific Workshop on Networking, 2025

2024

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.

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

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2022

Collie: Finding Performance Anomalies in RDMA Subsystems.

Xinhao Kong, Yibo Zhu, Huaping Zhou, Zhuo Jiang, Jianxi Ye, Chuanxiong Guo, Danyang Zhuo

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

2020

EFLOPS: Algorithm and System Co-Design for a High Performance Distributed Training Platform.

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

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

2016

RDMA over Commodity Ethernet at Scale.

Chuanxiong Guo, Haitao Wu, Zhong Deng, Gaurav Soni, Jianxi Ye, Jitu Padhye, Marina Lipshteyn

Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016