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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:
- reservation state and reservation history via OAR
- available resources via Ganglia
- critical services via Nagios
- opened bugs via BugZilla
- {{{1}}}-staff via mail
Shortcuts to global tools and informations:
- support procedures to report bugs or ask for enhancements
- global reservation state and global reservation history via OARgrid.
- registered users via phpLDAPadmin
Latest updated publications Five random publications that benefited from Grid'5000 (at least 3001 overall):
- Matthieu Simonin, Anne-Cécile Orgerie. Méthodologies de calculs de l'empreinte carbone sur une plateforme de calcul - L'exemple du site de Rennes de Grid'5000. JRES 2024 – Journée Réseaux de l'Enseignement Supérieur, Dec 2024, Rennes, France. pp.1-13. hal-04762718v2 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
- Arun Thangamani. Optimized code generation of parallel and polyhedral loop nests using MLIR. Computer Science cs. Université de Strasbourg, 2024. English. NNT : 2024STRAD058. tel-04718259v2 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
- William Soto Martinez, Yannick Parmentier, Claire Gardent. Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL). 17th International Natural Language Generation Conference, Sep 2024, Tokyo, Japan. pp.70-81, 10.18653/v1/2024.inlg-main.7. hal-04681150 view on HAL pdf
Latest updated experiments {{#experiments: 5|{{{1}}}}}
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