Author

Yu Xue

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Jul 2026

Enabling Spatially Fine-Grained DVFS in Neural Processing Units for Energy-Efficient LLM Serving

eNPU uses a compiler-driven two-level greedy search to co-optimize instruction scheduling and per-component V/$f$ selection under SLO constraints, and introduces lightweight cross-domain communication mechanisms to mitigate synchronization overheads across components, and extends the NPU ISA for sub-mu DVFS control.

Yu Xue, Jerry Wu, Corey Yu et al. · arXiv.org · 0 citations

Preprint Jul 2026

Benchmarking LLMs on File System Design and Implementation

This study discloses the model efficiency for different tasks, causes of failed fs tasks, and techniques for mitigating LLM failures, and will open source \phi-Bench to facilitate public research on using LLMs for fs development.

Yu Xue, Daixuan Li, Jian Huang · 0 citations