Don't Let a Few Network Failures Slow the Entire AllReduce
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 libraries such as NCCL mitigate network failures by rerouting traffic through surviving NICs on the same server, trading reduced inter-node bandwidth for uninterrupted training. However, the degraded server remains on the critical path of the standard ring algorithm, slowing the entire collective. We present the first information-theoretic lower bound on AllReduce completion time under asymmetric network bandwidth and show that when the straggler retains at least half of its original bandwidth, the unavoidable overhead ...
| Authors | Peiqing Chen, Jiedong Jiang, Nengneng Yu et al. |
|---|---|
| Primary category | cs.DC |
| Published | 1 June 2026 |
| Last updated at source | 1 June 2026 |
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