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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 3048 overall):

  • Karina Pats, Igor Glukhov, Stepan Petrosian, Maria Mamaeva, Alexey Sergushichev, et al.. GEODES: Geometric Descriptors for the Assessment of Global and Local Flexibility of Proteins During Molecular Dynamics Simulation. IEEE Access, 2025, 13, pp.64259-64270. 10.1109/ACCESS.2025.3558781. hal-05063673 view on HAL pdf
  • François Lemaire, Louis Roussel. A Parametric Differential System Admitting an Integral Input-Output Equation with a Fraction. Computer Algebra in Scientific Computing (CASC) 28th International Workshop, Aug 2026, Bath (UK), United Kingdom. hal-05645783 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
  • Cherif Si Mohammed, Adrien Lebre, Alexandre van Kempen. An analysis for the design of an efficient replica management strategy. COMPAS 2025 : Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jun 2025, Bordeaux, France. pp.1-7. hal-05079577 view on HAL pdf
  • Lorenzo Carnevale, Daniel Balouek, Serena Sebbio, Manish Parashar, Massimo Villari. Private Distributed Resource Management Data: Predicting CPU Utilization with Bi-LSTM and Federated Learning. CCGrid 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing, May 2025, Tromsø, Norway. pp.266 - 275, 10.1109/ccgrid64434.2025.00048. hal-05196357 view on HAL pdf

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

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