11 citations · 24 across the 3 of their papers we have counts for
3 papers
Insights into resource utilization of code small language models serving with runtime engines and execution providers
Francisco Durán, Matias Martinez, Patricia Lago +1
The rapid growth of language models, particularly in code generation, requires substantial computational resources, raising concerns about energy consumption and environmental impa…
Identifying architectural design decisions for achieving green ML serving
Francisco Durán, Silverio Martínez-Fernández, Matias Martinez +1
The growing use of large machine learning models highlights concerns about their increasing computational demands. While the energy consumption of their training phase has received…
Energy Efficiency of Training Neural Network Architectures: An Empirical Study
Yinlena Xu, Silverio Martínez-Fernández, Matias Martinez +1
The evaluation of Deep Learning models has traditionally focused on criteria such as accuracy, F1 score, and related measures. The increasing availability of high computational pow…