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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}}}:Logs|Logs]]
  • 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 2948 overall):

  • Alan Lira Nunes, Cristina Boeres, Lúcia Maria de A. Drummond, Laércio Lima Pilla. Optimal Time and Energy-Aware Client Selection Algorithms for Federated Learning on Heterogeneous Resources. 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Nov 2024, Hilo, France. pp.148-158, 10.1109/SBAC-PAD63648.2024.00021. hal-04690494v2 view on HAL pdf
  • Maxime Agusti, Eddy Caron, Benjamin Fichel, Laurent Lefèvre, Olivier Nicol, et al.. PowerHeat: A non-intrusive approach for estimating the power consumption of bare metal water-cooled servers. 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics, Aug 2024, Copenhagen, Denmark. pp.1-7. hal-04662683 view on HAL pdf
  • Pierre Jacquet, Maxime Agusti, Eddy Caron, Camille Coti, Marcos Dias de Assuncao, 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. 10.1145/3767295.3769333. hal-05291033 view on HAL pdf
  • Cédric Prigent, Alexandru Costan, Gabriel Antoniu, Loïc Cudennec. Enabling Federated Learning across the Computing Continuum: Systems, Challenges and Future Directions. Future Generation Computer Systems, 2024, 160, pp.767-783. 10.1016/j.future.2024.06.043. hal-04659211 view on HAL pdf
  • Georges da Costa. Hardware and application aware performance, power and energy models for modern HPC servers with DVFS. Sustainable Computing : Informatics and Systems, 2025, 46, pp.101106. 10.1016/j.suscom.2025.101106. hal-04983485 view on HAL pdf

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

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