Template:Site description

From Grid5000
Revision as of 12:22, 19 January 2013 by Sbadia (talk | contribs) (Remove phpmyadmin !)
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 2937 overall):

  • Hee-Soo Choi, Priyansh Trivedi, Mathieu Constant, Karën Fort, Bruno Guillaume. Au-delà de la performance des modèles : la prédiction de liens peut-elle enrichir des graphes lexico-sémantiques du français ?. Actes de JEP-TALN-RECITAL 2024. 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position, Jul 2024, Toulouse, France. pp.36-49. hal-04623008 view on HAL pdf
  • Guillaume Rosinosky, Donatien Schmitz, Etienne Rivière. StreamBed: Capacity Planning for Stream Processing. DEBS 2024 - 18th ACM International Conference on Distributed and Event-based Systems, Jun 2024, Lyon, France. pp.90-102, 10.1145/3629104.3666034. hal-04708354 view on HAL pdf
  • Cédric Prigent, Melvin Chelli, Alexandru Costan, Loïc Cudennec, René Schubotz, et al.. Efficient Resource-Constrained Federated Learning Clustering with Local Data Compression on the Edge-to-Cloud Continuum. HiPC 2024 - 31st IEEE International Conference on High Performance Computing, Data, and Analytics, Dec 2024, Bengaluru (Bangalore), India. pp.1-11, 10.1109/HiPC62374.2024.00033. hal-04779813 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
  • Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni. A Multi-Objective Multi-Agent Interactive Deep Reinforcement Learning Approach for Feature Selection. International conference on neural information processing, Dec 2024, Auckland (Nouvelle Zelande), New Zealand. pp.15. hal-04723314 view on HAL pdf

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

{{{misc}}}