Author

Mohammad Erfan Sadeghi

University of Southern California

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Preprint Aug 2026

Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning Predictors

HYMELL is introduced, a hybrid three-level framework for estimating LLM inference latency and energy by combining analytical modeling with machine learning (ML), which enables fast, hardware-free design space exploration and energy-efficient optimization.

Saeid Shokoufa, Mohammad Erfan Sadeghi, M. Kamal et al. · 0 citations