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  Danilo Carastan-Santos, Georges da Costa, Igor Fontana de Nardin, Millian Poquet, Krzysztof Rzadca, et al.. Scheduling with lightweight predictions in power-constrained HPC platforms. 2024. ⟨hal-04747713⟩
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  Sofya Dymchenko, Abhishek Purandare, Bruno Raffin. MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning. AI4S 2024 - 5th Workshop on artificial intelligence and machine learning for scientific applications, Nov 2024, Atlanta (Georgia), United States. pp.1-9. ⟨hal-04712480⟩
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  Alejandro Ribes, François Mazen, Lucas Meyer. In Situ Monitoring and Steering Deep Learning Training from Numerical Simulations in ParaView-Catalyst. In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV'22), Nov 2022, Dallas (TX), United States. ⟨hal-04692246⟩
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  Alena Shilova, Thomas Delliaux, Philippe Preux, Bruno Raffin. Revisiting Continuous-Time Reinforcement Learning. A Study of HJB Solvers Based on PINNs and FEMs. EWRL 2023 Workshop, Sep 2023, Brussels, Belgium. ⟨hal-04705270⟩
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  Tuan-Anh Nguyen, Nguyen Kim Thang, Denis Trystram. Handling Delayed Feedback in Distributed Online Optimization: A Projection-Free Approach. ECML PKDD 2024 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. pp.197-211, ⟨10.1007/978-3-031-70341-6_12⟩. ⟨hal-04703453⟩
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  Robin Boëzennec, Fanny Dufossé, Guillaume Pallez. Qualitatively Analyzing Optimization Objectives in the Design of HPC Resource Manager. 2023. ⟨hal-04187517v2⟩
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  Danilo Carastan-Santos, Georges da Costa, Millian Poquet, Patricia Stolf, Denis Trystram. Light-weight prediction for improving energy consumption in HPC platforms. Euro-Par 2024, Carretero, J., Shende, S., Garcia-Blas, J., Brandic, I., Olcoz, K., Schreiber, M., Aug 2024, Madrid, Spain. pp.152-165, ⟨10.1007/978-3-031-69577-3_11⟩. ⟨hal-04566184v2⟩
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  Priscilla de Souza, Lishil Silvester, Anderson da Silva, Cibele Fernandes, Thenner Rodrigues, et al.. Exploiting the Synergetic Behavior of PtPd Bimetallic Catalysts in the Selective Hydrogenation of Glucose and Furfural. Catalysts, 2019, 9 (2), pp.1-14. ⟨10.3390/catal9020132⟩. ⟨hal-02324316⟩
• Guillaume Raffin, Mathilde Jay. NVML sensor (CPU+GPU). 2023, ⟨swh:1:dir:86123285fef88a53a7add2daa5cde206a739655b;origin=https://github.com/TheElectronWill/nvml-sensor;visit=swh:1:snp:84d307494eb375c5567d310a51ef6d33f65e92e6;anchor=swh:1:rev:da17074fbd3c78027b52e700c5dadf7918ca0755⟩. ⟨hal-04664358⟩
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  Christophe Cérin, Keiji Kimura, Mamadou Sow. Data stream clustering for low-cost machines. Journal of Parallel and Distributed Computing, 2022, 166, pp.57-70. ⟨10.1016/j.jpdc.2022.04.009⟩. ⟨hal-03960663⟩
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  Guillaume Raffin, Denis Trystram. Dissecting the software-based measurement of CPU energy consumption: a comparative analysis. 2024. ⟨hal-04420527v2⟩
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  Dorian Goepp, Samuel Brun, Quentin Guilloteau, Olivier Richard. Un prototype de cache de métadonnées pour le passage à l'échelle de NixOS-Compose. COMPAS 2024 - Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jul 2024, Nantes, France. pp.1-8. ⟨hal-04632952⟩
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  Quentin Guilloteau. Control-based runtime management of HPC systems with support for reproducible experiments. Performance [cs.PF]. Université Grenoble Alpes [2020-..], 2023. English. ⟨NNT : 2023GRALM075⟩. ⟨tel-04389290v2⟩
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  Dorian Goepp, Fernando Ayats Llamas, Olivier Richard, Quentin Guilloteau. ACM REP24 Tutorial: Reproducible distributed environments with NixOS Compose. 2024, pp.1-3. ⟨hal-04613983⟩
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  Pierre Neyron. R’n’R building of an experimentation platform for the Edge. Journée Datamove 2024, Jun 2024, Chichillianne, France. pp.1-12. ⟨hal-04604573⟩
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  Adrien Berthelot, Eddy Caron, Mathilde Jay, Laurent Lefèvre. Towards a multi-criteria evaluation of the environmental footprint of generative ai services. ICT4S 2024 - International Conference on Information and Communications Technology for Sustainability, Jun 2024, Stockholm, Sweden. pp.1-1, 2024. ⟨hal-04586653⟩
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  Quentin Guilloteau, Florina M Ciorba, Millian Poquet, Dorian Goepp, Olivier Richard. Longevity of Artifacts in Leading Parallel and Distributed Systems Conferences: a Review of the State of the Practice in 2023. REP 2024 - ACM Conference on Reproducibility and Replicability, ACM, Jun 2024, Rennes, France. pp.1-14, ⟨10.1145/3641525.3663631⟩. ⟨hal-04562691⟩
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  Abdessalam Benhari, Yves Denneulin, Frédéric Desprez, Fanny Dufossé, Denis Trystram. Green HPC: An analysis of the domain based on Top500. 2024. ⟨hal-04519645⟩
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  Julien Lefevre, Aurélie Bugeau, Jacques Combaz, Laurent Lefèvre, Anne-Laure Ligozat, et al.. Impacts environnementaux de l'IA : quels réels bénéfices ?. Collection numérique de l’AMUE, Agence de mutualisation des universités et établissements d'enseignement supérieur, 2023, 30. ⟨hal-04486682⟩
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  Quentin Guilloteau, Jonathan Bleuzen, Millian Poquet, Olivier Richard. Tutorial: Reproducible distributed environments with NixOS Compose. 2022. ⟨hal-04460307⟩

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