361 citations · 363 across the 2 of their papers we have counts for
2 papers
cs.DC2023★ 2 cited
SWIFT: Expedited Failure Recovery for Large-scale DNN Training
Yuchen Zhong, Guangming Sheng, Juncheng Liu +2
As the size of deep learning models gets larger and larger, training takes longer time and more resources, making fault tolerance more and more critical. Existing state-of-the-art…
cs.NI2018★ 361 cited
Homa: A Receiver-Driven Low-Latency Transport Protocol Using Network Priorities (Complete Version)
Behnam Montazeri, Yilong Li, Mohammad Alizadeh +1
Homa is a new transport protocol for datacenter networks. It provides exceptionally low latency, especially for workloads with a high volume of very short messages, and it also sup…