Data-Centric Green AI An Exploratory Empirical Study

Author:

Verdecchia Roberto1,Cruz Luis2,Sallou June3,Lin Michelle4,Wickenden James5,Hotellier Estelle6

Affiliation:

1. Vrije Universiteit,Amsterdam,The Netherlands

2. Delft University of Technology,The Netherlands

3. Univ Rennes,France

4. McGill University,Canada

5. University of Bristol,United Kingdom

6. Inria,France

Publisher

IEEE

Reference42 articles.

1. GreenMiner: a hardware based mining software repositories software energy consumption framework

2. Experimentation in Software Engineering

3. Dataset meta-learning from kernel ridge-regression;nguyen;International Conference on Learning Representations,2021

4. Estimation of energy consumption in machine learning

5. Carbon-aware computing for datacenters;radovanovic,2021

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2. Towards Comprehending Energy Consumption of Database Management Systems - A Tool and Empirical Study;Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering;2024-06-18

3. EcoMLS: A Self-Adaptation Approach for Architecting Green ML-Enabled Systems;2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C);2024-06-04

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5. The Environmental Cost of Engineering Machine Learning-Enabled Systems;Proceedings of the 4th Workshop on Machine Learning and Systems;2024-04-22

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