ChonLam Lao

According to our database, ChonLam Lao authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

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