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cs.NI2026
Tuning Collective Patterns to Alleviate Congestion in Shared AI Clusters
Eashan Gupta, Yongzhou Chen, Apoorve Mohan +3
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 communicati…
cs.NI2024
FlowTracer: A Tool for Uncovering Network Path Usage Imbalance in AI Training Clusters
Hasibul Jamil, Abdul Alim, Laurent Schares +6
The increasing complexity of AI workloads, especially distributed Large Language Model (LLM) training, places significant strain on the networking infrastructure of parallel data c…