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Author

A. Zhanuzakova

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Jul 2026

Energy-Efficient GPU DVFS for Fine-Tuning of SLMs on Resource-constrained Embedded Devices

This work characterize the fine-tuning behavior of representative encoder-only SLMs of BERT variants, and autoregressive decoder-only SLMs of Pythia variants on GLUE benchmarks, and proposes a simple yet effective ML-based model selection that selects energy-optimal GPU DVFS settings on resource-constrained embedded platforms.

Jurn-Gyu Park, S. Zholdybayev, Aidar Amangeldi et al. · 0 citations

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