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Shimeng Yu

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Preprint Oct 2026

An Optical KV Cache Network for Disaggregated LLM Serving

Disaggregated LLM serving moves each request's KV cache from a prefill GPU to a decode GPU before the response begins, and a coding-agent turn often moves the KV of its whole long context. Behind an oversubscribed packet fabric this transfer adds to time to first token (TTFT). An optical circuit switch (OCS) can give e...

Seongwon Yoon, Shi-Meng Yu · 0 citations
Preprint Sep 2026

Hardware Acceleration of Block-Diffusion LLM for Edge Devices

The authors co-design WIFiV-LPDDR, a wide-I/O LPDDR system for precision-tagged reads, BRQ-KV for a canonical low-rank-plus-INT8-residual prefix with query-dependent per-entry precision, and DAT-FFN for drift-mapped canonical replacement, adjacent-stage-corrected low-bit delta, or cached-state carry while keeping live...

Wei-Hsing Huang, Kiseok Lee, Ming-Yen Lee et al. · 0 citations
Open access Jul 2025

A3D-MoE: Acceleration of Large Language Models With Mixture of Experts via 3-D Heterogeneous Integration

A3D-MoE addresses large language models' challenges with 3-D heterogeneous integration to improve memory bandwidth and reduce NoC overhead/energy, and a hardware resource-aware operation fusion scheduler that fuses attention/MoE operations to boost performance.

Wei-Hsing Huang, Janak Sharda, Cheng-Jhih Shih et al. · 3 citations

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