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cs.DC2026
Purlin: Separating Orchestration from the Datapath of Collectives
Osayamen Jonathan Aimuyo, Swapnil Gandhi, Christos Kozyrakis
Distributed inference depends on GPU collective communication that must keep pace with evolving hardware and specialized workloads. However, existing works often couple the semanti…
cs.DC2025
FlashMoE: Fast Distributed MoE in a Single Kernel
Osayamen Jonathan Aimuyo, Byungsoo Oh, Rachee Singh
The computational sparsity of Mixture-of-Experts (MoE) models enables sub-linear growth in compute cost as model size increases, thus offering a scalable path to training massive n…