Template:Site description

From Grid5000
Revision as of 11:33, 14 September 2011 by Sbadia (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]]
  • 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):

  • 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
  • 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
  • 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
  • Luis Valenzuela, Luis Martí, Nayat Sanchez-Pi. Preliminary Results Towards Decoding Planktonic Life via Symbolic Regression. 2024. hal-04784266 view on HAL pdf
  • 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

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

{{{misc}}}