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Tuning Collective Patterns to Alleviate Congestion in Shared AI Clusters
and-cluster-computingc-2-1c-2-4c-4distributedmachine-learningnetworking-and-internet-architectureparallel
Distributed AI training involves recurring rounds of data exchange between multiple pairs of GPU nodes. Slowdown in even one flow due to congestion can cause the entire communication round to slowdown. Current approaches for evading congestion in AI clusters assume global control over the entire wor
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