• 
  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. ACM Conference on Reproducibility and Replicability (REP 2024), ACM, Jun 2024, Rennes, France. à paraître. ⟨hal-04562691⟩
• 
  Abdessalam Benhari, Yves Denneulin, Frédéric Desprez, Fanny Dufossé, Denis Trystram. Green HPC: An analysis of the domain based on Top500. 2024. ⟨hal-04519645⟩
• 
  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. ⟨hal-04486682⟩
• 
  Quentin Guilloteau, Jonathan Bleuzen, Millian Poquet, Olivier Richard. Tutorial: Reproducible distributed environments with NixOS Compose. 2022. ⟨hal-04460307⟩
• 
  Sebastian Friedemann, Kai Keller, Yen-Sen Lu, Bruno Raffin, Leonardo Bautista Gomez. Dynamic Load/Propagate/Store for Data Assimilation with Particle Filters on Supercomputers. Journal of computational science, 2024, pp.102229. ⟨10.1016/j.jocs.2024.102229⟩. ⟨hal-03927612v2⟩
• 
  Alena Shilova, Thomas Delliaux, Philippe Preux, Bruno Raffin. Learning HJB Viscosity Solutions with PINNs for Continuous-Time Reinforcement Learning. RR-9541, Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189; Univ. Lille, CNRS, Centrale Lille, Inria UMR 9189 - CRIStAL,INRIA Lille Nord Europe, Villeneuve d’Ascq, France; Univ. Grenoble Alps, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France. 2024, pp.1-30. ⟨hal-04445160⟩
• 
  Adrien Berthelot, Eddy Caron, Mathilde Jay, Laurent Lefèvre. Estimating the environmental impact of Generative-AI services using an LCA-based methodology. CIRP LCE 2024 - 31st Conference on Life Cycle Engineering, Jun 2024, Turin, Italy. pp.1-10. ⟨hal-04346102v2⟩
• 
  Guillaume Raffin, Denis Trystram. Dissecting the software-based measurement of CPU energy consumption: a comparative analysis. 2024. ⟨hal-04420527⟩
• 
  Amal Gueroudji, Julien Bigot, Bruno Raffin, Robert Ross. Dask-Extended External Tasks for HPC/ML In Transit Workflows. SC-W 2023 - Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Nov 2023, Denver, United States. pp.831-838, ⟨10.1145/3624062.3624151⟩. ⟨hal-04409157⟩
• 
  Quentin Guilloteau. Control-based runtime management of HPC systems with support for reproducible experiments. Distributed, Parallel, and Cluster Computing [cs.DC]. Université Grenoble Alpes, 2023. English. ⟨NNT : ⟩. ⟨tel-04389290⟩
• 
  Christophe Cérin, Mathilde Jay, Laurent Lefèvre, Denis Trystram. A Methodology and a Toolbox to Explore Dataset related to the Environmental Impact of HTTP Requests. 2023 IEEE International Conference on Big Data (BigData) - 3rd International Workshop on Big Data Analytics for Sustainability, Dec 2023, Sorrento (Naples), Italy. pp.1-10, ⟨10.1109/BigData59044.2023.10386275⟩. ⟨hal-04386964⟩
• 
  Fanny Dufossé, Christoph Dürr, Noël Nadal, Denis Trystram, Óscar Vásquez. Scheduling with a processing time oracle. Applied Mathematical Modelling, 2022, 104, pp.701-720. ⟨10.1016/j.apm.2021.12.020⟩. ⟨hal-03523262⟩
• 
  Enikő Kevi, Nguyễn Kim Thắng. Online Primal-Dual Algorithm with Predictions for Non-Linear Covering Problems. 2023. ⟨hal-04361128⟩
• 
  Sofya Dymchenko, Bruno Raffin. Loss-driven sampling within hard-to-learn areas for simulation-based neural network training. MLPS 2023 - Machine Learning and the Physical Sciences Workshop at NeurIPS 2023 - 37th conference on Neural Information Processing Systems, Dec 2023, New Orleans, United States. pp.1-5. ⟨hal-04305233⟩
• 
  Sofya Dymchenko, Bruno Raffin. Loss-driven sampling for online neural network training with large scale simulations. LIG PhD day 2023, Sep 2023, Grenobe, France. pp.1-1, 2023. ⟨hal-04305159⟩
• 
  Enikő Kevi, Nguyễn Kim Thắng. Online Covering with Multiple Experts. 2023. ⟨hal-04297794⟩
• 
  Louis Boulanger, Frédéric Wagner, Yves Denneulin. Taenite : Gestion transparente de la mémoire persistante en Rust. COMPAS 2023 - Conférence francophone d'informatique en Parallélisme, Architecture et Système, Bertrand Le Gal; Gaël Thomas; Emmanuel Agullo, Jul 2023, Annecy, France. pp.1-7. ⟨hal-04299508⟩
• 
  Danilo Carastan-Santos, Krzysztof Rzadca, Leonel Sousa, Denis Trystram. Social and environmental effects of post-COVID-19 Computer Science virtual conferencing: The Euro-Par case. 2023 International Conference on ICT for Sustainability (ICT4S), Jun 2023, Rennes, France. pp.132-141, ⟨10.1109/ICT4S58814.2023.00022⟩. ⟨hal-03903632v3⟩
• 
  Vincent Fagnon. Prédiction et augmentation de ressources à la rescousse de l'algorithmique. Complexité [cs.CC]. Université Grenoble Alpes [2020-..], 2023. Français. ⟨NNT : 2023GRALM039⟩. ⟨tel-04279180⟩
• 
  Anderson Andrei Da Silva, Yiannis Georgiou, Michael Mercier, Grégory Mounié, Denis Trystram. Towards an Energy-Aware Multi-objective Scheduling Policy for Server-based Edge-Cloud Continuum. COMPAS 2023 - Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jul 2023, Annecy, France. pp.1-21, 2023. ⟨hal-04244625⟩

158

43