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cs.DC2026
Don't Let a Few Network Failures Slow the Entire AllReduce
Peiqing Chen, Jiedong Jiang, Nengneng Yu +4
Network failures are among the most frequent hardware faults in large-scale GPU clusters and a leading cause of training-job interruptions. Modern collective communication librarie…
cs.DC2025
R2CC: Reliable and Resilient Collective Communication for Distributed Learning
Wei Wang, Nengneng Yu, Sixian Xiong +1
Modern ML training and inference now span hundreds to tens of thousands of GPUs, where failures can waste 10-15% of GPU hours due to slow recovery. Common network errors and link f…