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Specific informations of {{{1}}}'s site:

  • [[{{{1}}}:Hardware|Hardware]]
  • [[{{{1}}}:Network|Network]]
  • [[{{{1}}}:Storage|Storage]]
  • [[{{{1}}}:External access|External access]]
  • [[{{{1}}}:People|People]]
  • [[{{{1}}}:Roadmap|Roadmap]]
  • [[{{{1}}}:Logs|Logs]]
  • [[{{{1}}}:Administration|Administration]]

Direct access to resources for {{{1}}}'s site:

Shortcuts to global tools and informations:

Latest updated publications Five random publications that benefited from Grid'5000 (at least 3007 overall):

  • Thomas Bouvier. Distributed Rehearsal Buffers for Continual Learning at Scale. Machine Learning cs.LG. INSA de Rennes, 2024. English. NNT : 2024ISAR0011. tel-04986111 view on HAL pdf
  • Alix Tremodeux, Guillaume Pallez, Erven Rohou. How to determine a machine's true age in an HPC system?. JLESC 2026 -18th workshop of Joint Laboratory for Extreme Scale Computing, May 2026, Julich, Germany. 2026. hal-05662829 view on HAL pdf
  • James Sudlow, Baudouin Naline, Sara Bouchenak, Baudouin Naline. Automated Data Error Cleaning Impact on Federated Learning Utility and Fairness. 56th Annual IEEE International Conference on Dependable Systems and Networks (DSN 2026), Jun 2026, Charlotte, NC, United States. pp.825-834, 10.1109/DSN69566.2026.00080. hal-05700323 view on HAL pdf
  • Cédric Prigent. Towards Efficient and Trustworthy Federated Learning on the Computing Continuum. Machine Learning cs.LG. INSA de Rennes, 2025. English. NNT : 2025ISAR0003. tel-05279213 view on HAL pdf
  • Pierre Jacquet, Maxime Agusti, Eddy Caron, Camille Coti, Marcos Dias de Assunção, et al.. Untangling GPU Power Consumption: Job-Level Inference in Cloud Shared Settings. EUROSYS 2026 - European Conference on Computer Systems, ACM, Apr 2026, Edinbourg, Ecosse, United Kingdom. pp.624-640, 10.1145/3767295.3769333. hal-05291033 view on HAL pdf

Latest updated experiments {{#experiments: 5|{{{1}}}}}

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