Author

Youngeun Kwon

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Preprint Oct 2026

NCCL M2N: A Layout- and Topology-Aware Collective for Distributed Tensor Resharding

Distributed training and rollout generation often use different tensor layouts, requiring model weights to be resharded across distinct process groups. This M-to-N redistribution is not directly expressed by standard collectives. Flat direct sends duplicate traffic across destination replicas, while gather-then-broadca...

Kaushik Kandadi, Youngeun Kwon, S. Potluri et al. · 0 citations

#artificial intelligence Preprint Oct 2026

NeMo-DCR: Bit-Exact Delta-Compressed Refit for Scalable Agentic RL at Trillion-Parameter Scale

Agentic reinforcement learning (RL) disaggregates training from rollout, so each policy update must reach the rollout clusters before the next batch. Transferring a full 1T checkpoint for such weight synchronization (refit) takes 87.5 min between two AWS regions. Measurements of BF16 training show that about 1% of weig...

Songlin Jiang, Zhi-Yu Li, Terry Kong et al. · 0 citations