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cs.DC2022★ 5 cited
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training
Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo +3
Modern Deep Learning (DL) models have grown to sizes requiring massive clusters of specialized, high-end nodes to train. Designing such clusters to maximize both performance and ut…
cs.NI2022
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs
Tarannum Khan, Saeed Rashidi, Srinivas Sridharan +3
RDMA over Converged Ethernet (RoCE) has gained significant attraction for datacenter networks due to its compatibility with conventional Ethernet-based fabric. However, the RDMA pr…