Author

Min Lyu

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Preprint Aug 2026

Energy-Efficient LLM Serving via Disaggregated Attention--FFN and Flexible Frequency Scaling

AFlex is a framework that jointly optimizes resource provisioning and GPU frequency scaling for disaggregated A/F serving and reduces energy per token by up to 49% over state-of-the-art disaggregated serving and 48% over frequency-scaling systems while satisfying TTFT and TPOT SLOs.

Cun-Chen Hu, Liangliang Xu, Tianyu Liu et al. · 0 citations

Jul 2026

A Sparse Glimpse of the Whole: Train-Free Self-Speculative Decoding

A unified efficiency analysis is presented showing that extending the speculation horizon can reduce rather than improve speedup when the marginal acceptance probability falls below the relative drafting cost, and SparseSpec-L, a training-free self-speculative decoding framework for long-context inference is introduced...

Yue Liu, Yuan Zeng, Min Lyu et al. · arXiv.org · 0 citations