Author

V. Stoico

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Jul 2026

Toward Energy-Efficient and Low-Power Arrhythmia Detection for Wearable Devices

This paper investigates the use of approximation techniques to reduce the power and energy consumption of DL architectures while maintaining acceptable classification performance and demonstrates that proposed approximations significantly extend wearable device battery life while preserving the required arrhythmia clas...

F. Bulten, Yawar Rasheed, Arlene John et al. · arXiv.org · 0 citations

Preprint Jul 2026

Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations

The results show that the studied configuration options significantly impact energy and performance, mainly driven by attention type and prefix caching, while chunked prefill has a limited effect under the default vLLM serving configuration and evaluated workloads.

Nada Zine, Tristan Coignion, V. Stoico et al. · 1 citation