EnerInfer uses model-structure-aware predictions and online feedback to select energy-efficient NPU and memory frequencies for on-device LLM inference while preserving QoE and managing thermal limits.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
EnerInfer: Energy-Aware On-Device LLM Inference
EnerInfer uses model-structure-aware predictions and online feedback to select energy-efficient NPU and memory frequencies for on-device LLM inference while preserving QoE and managing thermal limits.