Author

D. García-Gasulla

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#machine learning Preprint Sep 2026

RAMP: Robust Adaptive Mixed-Precision Quantization for Edge CPU Vision Models

K-Means clustering is addressed with K-Means clustering, achieving near-lossless accuracy and a mean speed-up over the full-precision model, and it is revealed that excluding from quantization the layers whose speed-up is negligible, regardless of their sensitivity, can be counterproductive.

D. Población-Criado, D. García-Gasulla, Eduardo Quiñones · 0 citations

Jul 2026

Revisiting TuRTLe: A Comprehensive Evaluation of LLMs for RTL Generation

TuRTLe, a unified evaluation framework designed to systematically assess LLMs across key RTL generation tasks, is proposed, enabling a comprehensive assessment of LLM performance in syntax correctness, functional correctness, synthesis, PPA optimization, and exact line completion.

Miquel Albertí-Binimelis, Cristian Gutierrez-Gomez, D. García-Gasulla et al. · ACM Transactions on Design A... · 0 citations