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SHORTCUT: In-Collective Topology Reconfiguration for Low-Latency AllReduce

Hammer, Sarah-Michelle et al.
arXiv (All) · Papers
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Distributed ML training relies on efficient AllReduce communication to aggregate data across nodes. In this setting, reconfigurable optical interconnects offer high-bandwidth, energy-efficient direct links between accelerators but often produce ring-based topologies that remain static during a colle
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