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Analysis of High Performance Applications Using Workload Requirements.

, , and . VECPAR, volume 10150 of Lecture Notes in Computer Science, page 7-10. Springer, (2016)

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Investigating hardware and software aspects in the energy consumption of machine learning: A green AI-centric analysis., , , , and . Concurr. Comput. Pract. Exp., (2023)SMCis: Scientific Applications Monitoring Tool for HPC Environments., , , , and . WSCAD, page 148-154. IEEE, (2018)Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results., , , , , , , , , and 8 other author(s). Supercomput. Front. Innov., 9 (1): 49-73 (2022)Static job scheduling for environments with vertical elasticity., , , , and . Concurr. Comput. Pract. Exp., (2020)A Multi-objective Hyperparameter Optimization for Machine Learning Using Genetic Algorithms: A Green AI Centric Approach., , and . IBERAMIA, volume 13788 of Lecture Notes in Computer Science, page 133-144. Springer, (2022)SMCis: Scientific Applications Monitoring and Prediction for HPC Environments., , , , , and . WSCAD (Selected Papers), volume 1171 of Communications in Computer and Information Science, page 69-84. Springer, (2018)Towards a sustainable artificial intelligence: A case study of energy efficiency in decision tree algorithms., , , , and . Concurr. Comput. Pract. Exp., (2023)Performance and Energy Efficiency Evaluation for HPC Applications in Heterogeneous Architectures., , , , , and . WSCAD, page 162-169. IEEE, (2018)