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Author

Nam Sung Kim

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Preprint Oct 2026

Lachesis: Lifetime-Aware KV Cache Placement for Agent Serving across HBM and High-Bandwidth Flash

Large language model (LLM) serving is increasingly dominated by agentic workloads, in which agents and their sub-agents accumulate context as KV cache across many requests, consuming substantial memory. High-bandwidth flash (HBF) is a promising solution, providing an order of magnitude greater capacity at HBM-class rea...

Jae-hun Yang, Jeong-Seok Lee, Haneul Park et al. · 0 citations
Preprint Oct 2026

TRANSIT: Transparent Scale-in for Multi-Node LLM Training

TRANSIT is a transparent scale-in framework to enable multi-node model training on fewer GPUs while maintaining training efficiency by transparently leveraging CPU DRAM as an extension of GPU memory during distributed training. It achieves this through a user-space interposition layer, requiring no modifications to the...

Hyungyo Kim, Nicholas Satchanov, Hrishi Shah et al. · 0 citations

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