ChonLam Lao

According to our database, ChonLam Lao authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Towards Easy and Realistic Network Infrastructure Testing for Large-scale Machine Learning.

Jinsun Yoo, ChonLam Lao, Lianjie Cao, Bob Lantz, Minlan Yu, Tushar Krishna, Puneet Sharma

CoRR, April, 2025

An Extensible Software Transport Layer for GPU Networking.

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

CoRR, April, 2025

eTran: Extensible Kernel Transport with eBPF.

Zhongjie Chen, Qingkai Meng, ChonLam Lao, Yifan Liu, Fengyuan Ren, Minlan Yu, Yang Zhou

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

2024

TrainMover: Efficient ML Training Live Migration with No Memory Overhead.

ChonLam Lao, Minlan Yu, Aditya Akella, Jiamin Cao, Yu Guan, Pengcheng Zhang, Zhilong Zheng, Yichi Xu, Ennan Zhai, Dennis Cai, Jiaqi Gao

CoRR, 2024

HawkVision: Low-Latency Modeless Edge AI Serving.

ChonLam Lao, Jiaqi Gao, Ganesh Ananthanarayanan, Aditya Akella, Minlan Yu

CoRR, 2024

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression.

Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Michael Mitzenmacher, Minlan Yu

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

2023

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression.

Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Xinran Tang, Michael Mitzenmacher, Minlan Yu

CoRR, 2023

In-Network Key-Value Cache with Linearizability.

Yuxuan Qin, Weize Gao, ChonLam Lao, Wenfei Wu, Kai Chen

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Preemptive Switch Memory Usage to Accelerate Training Jobs with Shared In-Network Aggregation.

Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, Kai Chen

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

A Generic Service to Provide In-Network Aggregation for Key-Value Streams.

Yongchao He, Wenfei Wu, Yanfang Le, Ming Liu, ChonLam Lao

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Efficient Data-Plane Memory Scheduling for In-Network Aggregation.

Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, Kai Chen

CoRR, 2022

2021

ATP: In-network Aggregation for Multi-tenant Learning.

ChonLam Lao, Yanfang Le, Kshiteej Mahajan, Yixi Chen, Wenfei Wu, Aditya Akella, Michael M. Swift

Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021