ChonLam Lao - RankMe

14 papers A* 1B 2Misc 4Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Extensible Software Transport Layer for GPU Networking. CoRR 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
2025	A*	`conf`	Astral: A Datacenter Infrastructure for Large Language Model Training at Scale. SIGCOMM 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
2025	J	`jnl`	Towards Easy and Realistic Network Infrastructure Testing for Large-scale Machine Learning. CoRR Jinsun Yoo, ChonLam Lao, Lianjie Cao, Bob Lantz, Minlan Yu, Tushar Krishna, Puneet Sharma
2025	Misc	`conf`	Your network doesn't end at the NIC: A case for unifying the inter-host and intra-host networks in (AI) datacenters. HotNets Raj Joshi, Saksham Agarwal, ChonLam Lao, Minlan Yu
2025	Misc	`conf`	eTran: Extensible Kernel Transport with eBPF. NSDI Zhongjie Chen, Qingkai Meng, ChonLam Lao, Yifan Liu, Fengyuan Ren, Minlan Yu, Yang Zhou
2024	J	`jnl`	HawkVision: Low-Latency Modeless Edge AI Serving. CoRR ChonLam Lao, Jiaqi Gao, Ganesh Ananthanarayanan, Aditya Akella, Minlan Yu
2024	Misc	`conf`	THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression. NSDI Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Michael Mitzenmacher, Minlan Yu
2024	J	`jnl`	TrainMover: Efficient ML Training Live Migration with No Memory Overhead. CoRR ChonLam Lao, Minlan Yu, Aditya Akella, Jiamin Cao, Yu Guan, Pengcheng Zhang, Zhilong Zheng, Yichi Xu, Ennan Zhai, Dennis Cai, Jiaqi Gao
2023	—	`conf`	A Generic Service to Provide In-Network Aggregation for Key-Value Streams. ASPLOS (2) Yongchao He, Wenfei Wu, Yanfang Le, Ming Liu, ChonLam Lao
2023	B	`conf`	In-Network Key-Value Cache with Linearizability. ICPADS Yuxuan Qin, Weize Gao, ChonLam Lao, Wenfei Wu, Kai Chen
2023	B	`conf`	Preemptive Switch Memory Usage to Accelerate Training Jobs with Shared In-Network Aggregation. ICNP Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, Kai Chen
2023	J	`jnl`	THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression. CoRR Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Xinran Tang, Michael Mitzenmacher, Minlan Yu
2022	J	`jnl`	Efficient Data-Plane Memory Scheduling for In-Network Aggregation. CoRR Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, Kai Chen
2021	Misc	`conf`	ATP: In-network Aggregation for Multi-tenant Learning. NSDI ChonLam Lao, Yanfang Le, Kshiteej Mahajan, Yixi Chen, Wenfei Wu, Aditya Akella, Michael M. Swift