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Author

Taewan Noh

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#artificial intelligence Preprint Sep 2026

Bridging LLM Serving and CXL-SSDs with Chunk-Aware KV Cache Management

NAND-backed storage offers the capacity needed to scale LLM prefix caching, but its block I/O path incurs CPU cache contention and host-DRAM staging in addition to NAND latency. Our characterization shows that these interface costs persist even with DRAM as the storage medium, motivating CXL-SSDs for byte-addressable a...

Hyunsun Chung, Taewan Noh, Minji Kim et al. · 0 citations
Open access Aug 2026

An entangling gate for dual-rail erasure qubits

Quantum error correction (QEC) will likely be required to realize the full potential of quantum computing, but comes with daunting hardware overheads and demands low gate errors on the physical qubits1, 2, 3–4. These requirements can be eased by engineering qubits with a strong error hierarchy, in which the most common...

Nitish Mehta, James D. Teoh, Taewan Noh et al. · 0 citations

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