Template:Site description

From Grid5000
Revision as of 15:44, 23 July 2009 by Dmargery (talk | contribs)
Jump to navigation Jump to search

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 3000 overall):

  • Donatien Schmitz, Guillaume Rosinosky, Etienne Rivière. Justin: Hybrid CPU/Memory Elastic Scaling for Distributed Stream Processing ⋆. DAIS 2025 - 25th International Conference on Distributed Applications and Interoperable Systems, Daniel Balouek; Ibéria Medeiros, Jun 2025, Lille, France. pp.1-17. hal-05081993 view on HAL pdf
  • Khaled Arsalane. Scalable data stream processing in heterogenous environments. Other cs.OH. Université de Rennes, 2025. English. NNT : 2025URENS105. tel-05651478 view on HAL pdf
  • Bruno Lévy, Nicolas Ray, Quentin Merigot, Hugo Leclerc. Large-scale semi-discrete optimal transport with distributed Voronoi diagrams. Journal of Computational Physics, 2025, pp.114374. 10.1016/j.jcp.2025.114374. hal-05253830 view on HAL pdf
  • François Lemaire, Louis Roussel. Deep Learning for Integro-Differential Modelling. RISC Proceedings on Symbolic Computation and Machine Learning, Johannes Kepler Universität Linz, 2026, Mar 2026, Hagenberg Castle, Austria. 10.35011/risc-proceedings-scml.2. hal-05230281v3 view on HAL pdf
  • Cherif Latreche, Nikos Parlavantzas, Hector A Duran-Limon. Do We Need Reinforcement Learning for Serverless Scheduling at the Edge? A Comparative Evaluation. 25th IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2026), Jul 2026, Hambourg, Germany. hal-05626844v2 view on HAL pdf

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

{{{misc}}}