Author

Hyunho Lee

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Preprint Sep 2026

Accurate Simulation of Distributed Training Jobs with Network Contention Modeling

Trace-driven simulation is widely used to evaluate distributed training (DT) jobs in GPU clusters, but existing simulators either ignore network contention or approximate it with a fixed penalty. This misses how scheduling decisions determine which jobs share server network interfaces and inter-server links, thereby ch...

Yeonho Yoo, Hyunho Lee, Hyun-Eem Choi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Parallelism Strategy Chaining for Fast Training Convergence

This paper proposes CONA, a new training method that introduces online strategy chaining, which ranks candidate strategies during training using a surrogate metric built from compute throughput and gradient statistics, and switches the current strategy to a new strategy with a higher metric.

Mi-Gyung Kang, Changyong Shin, Younghun Go et al. · 0 citations