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Corey Yu

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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. · 0 citations

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