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 2945 overall):

  • Enzo Isnard, Sébastien Héron, Stéphane Lanteri, Mahmoud Elsawy. Hybrid model to simulate optical systems combining metasurfaces and classical refractive elements. Optics Express, 2025, 10.1364/OE.580729. hal-05290353v2 view on HAL pdf
  • Danilo Carastan-Santos, Georges da Costa, Igor Fontana de Nardin, Millian Poquet, Krzysztof Rzadca, et al.. Scheduling with lightweight predictions in power-constrained HPC platforms. IEEE Transactions on Parallel and Distributed Systems, 2025, pp.1-12. 10.1109/TPDS.2025.3586723. hal-04747713v3 view on HAL pdf
  • Lluis Prior Sancho, Tommaso Belvedere, Marco Tognon. From Pixels to Touch: Direct Tactile Servoing with Learned Photometric Normalization. IEEE Robotics and Automation Letters, In press, 10.1109/LRA.2026.3685944. hal-05599932 view on HAL pdf
  • Daniel Richards Arputharaj, Charlotte Rodriguez, Angelo Rodio, Giovanni Neglia. Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling. MASCOTS 2025 - 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication System, Oct 2025, Paris, France. 10.1109/MASCOTS67699.2025.11283314. hal-05423023 view on HAL pdf
  • Houssem Ouertatani. Efficient Deep Neural Architecture Search via Bayesian Optimization : An application to Computer Vision. Computer Vision and Pattern Recognition cs.CV. Université de Lille, 2024. English. NNT : 2024ULILB044. tel-05014154 view on HAL pdf

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

{{{misc}}}