3 papers
cs.LG2026
EnergyLens: Predictive Energy-Aware Exploration for Multi-GPU LLM Inference Optimization
Zhiye Song, Kyungmi Lee, Eun Kyung Lee +3
We present EnergyLens, an end-to-end framework for energy-aware large language model (LLM) inference optimization. As LLMs scale, predicting and reducing their energy footprint has…
cs.AR2026
EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads
Kyungmi Lee, Zhiye Song, Eun Kyung Lee +3
As AI workloads drive increases in datacenter power consumption, accurate GPU power estimation is critical for proactive power management. However, existing power models face a sca…
cs.LG2025
LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog Circuits
Dimple Vijay Kochar, Hanrui Wang, Anantha Chandrakasan +1
Traditional approaches for designing analog circuits are time-consuming and require significant human expertise. Existing automation efforts using methods like Bayesian Optimizatio…