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2020 – today
- 2025
[c7]Zhongjie Chen, Qingkai Meng, ChonLam Lao, Yifan Liu, Fengyuan Ren, Minlan Yu, Yang Zhou:
eTran: Extensible Kernel Transport with eBPF. NSDI 2025: 407-425- [c6]Qingkai Meng
, Hao Zheng, Zhenhui Zhang, ChonLam Lao, Chengyuan Huang, Baojia Li, Ziyuan Zhu, Hao Lu, Weizhen Dang, Zitong Lin, Weifeng Zhang, Lingfeng Liu, Yuanyuan Gong, Chunzhi He, Xiaoyuan Hu, Yinben Xia, Xiang Li, Zekun He, Yachen Wang, Xianneng Zou, Kun Yang, Gianni Antichi, Guihai Chen, Chen Tian:
Astral: A Datacenter Infrastructure for Large Language Model Training at Scale. SIGCOMM 2025: 609-625 - [i6]Yang Zhou, Zhongjie Chen, Ziming Mao, ChonLam Lao, Shuo Yang, Pravein Govindan Kannan, Jiaqi Gao, Yilong Zhao, Yongji Wu, Kaichao You, Fengyuan Ren, Zhiying Xu, Costin Raiciu, Ion Stoica:
An Extensible Software Transport Layer for GPU Networking. CoRR abs/2504.17307 (2025) - [i5]Jinsun Yoo, ChonLam Lao, Lianjie Cao, Bob Lantz, Minlan Yu, Tushar Krishna, Puneet Sharma:
Towards Easy and Realistic Network Infrastructure Testing for Large-scale Machine Learning. CoRR abs/2504.20854 (2025) - 2024
- [c5]Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Michael Mitzenmacher, Minlan Yu:
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression. NSDI 2024 - [i4]ChonLam Lao, Jiaqi Gao, Ganesh Ananthanarayanan, Aditya Akella, Minlan Yu:
HawkVision: Low-Latency Modeless Edge AI Serving. CoRR abs/2405.19213 (2024) - [i3]ChonLam Lao, Minlan Yu, Aditya Akella, Jiamin Cao, Yu Guan, Pengcheng Zhang, Zhilong Zheng, Yichi Xu, Ennan Zhai, Dennis Cai, Jiaqi Gao:
TrainMover: Efficient ML Training Live Migration with No Memory Overhead. CoRR abs/2412.12636 (2024) - 2023
- [c4]Yongchao He, Wenfei Wu, Yanfang Le, Ming Liu, ChonLam Lao:
A Generic Service to Provide In-Network Aggregation for Key-Value Streams. ASPLOS (2) 2023: 33-47 - [c3]Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, Kai Chen:
Preemptive Switch Memory Usage to Accelerate Training Jobs with Shared In-Network Aggregation. ICNP 2023: 1-12 - [c2]Yuxuan Qin, Weize Gao, ChonLam Lao, Wenfei Wu, Kai Chen:
In-Network Key-Value Cache with Linearizability. ICPADS 2023: 1935-1942 - [i2]Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Xinran Tang, Michael Mitzenmacher, Minlan Yu:
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression. CoRR abs/2302.08545 (2023) - 2022
- [i1]Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, Kai Chen:
Efficient Data-Plane Memory Scheduling for In-Network Aggregation. CoRR abs/2201.06398 (2022) - 2021
- [c1]ChonLam Lao, Yanfang Le, Kshiteej Mahajan, Yixi Chen, Wenfei Wu, Aditya Akella, Michael M. Swift:
ATP: In-network Aggregation for Multi-tenant Learning. NSDI 2021: 741-761
Coauthor Index
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