Template:Site description
Specific informations of {{{1}}}'s site:
- [[{{{1}}}:Hardware|Hardware]]
- [[{{{1}}}:Network|Network]]
- [[{{{1}}}:Storage|Storage]]
- [[{{{1}}}:External access|External access]]
- [[{{{1}}}:People|People]]
- [[{{{1}}}:Logs|Logs]]
- 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 3048 overall):
- Mathis Valli, Loïc Cudennec, Alexandru Costan, Cédric Tedeschi, Gabriel Antoniu. Evaluating Federated Learning Beyond Simulation: A Deployment-Aware Methodology. CCGrid 2026 - IEEE 26th International Symposium on Cluster, Cloud and Internet Computing, IEEE, May 2026, Sydney, Australia. hal-05477787v2 view on HAL pdf
- Celia Mahamdi, Jonathan Lejeune, Julien Sopena, Pierre Sens, Mesaac Makpangou. OMAHA: Opportunistic Message Aggregation for pHase-based Algorithms (extended version). Formal Aspects of Computing, 2024, 36, pp.1 - 23. 10.1145/3698593. hal-05003849 view on HAL pdf
- Neuville-Burguière Benjamin, Huet Fabrice, Baude Françoise. Latency Aware and ressource-efficient bin pack autoscaling for distributed event queues : An application to microservices architectures. Conférence francophone d'informatique en Parallélisme, Architecture et Système (COMPAS 2026), Jun 2026, Anglet, France. hal-05659911 view on HAL pdf
- Eva Giboulot, Teddy Furon. WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off. NeurIPS 2024 - 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada. pp.1-34. hal-04766606 view on HAL pdf
- Adrien Berthelot, Eddy Caron, Mathilde Jay, Laurent Lefèvre. Understanding the environmental impact of generative AI services. Communications of the ACM, 2025, Special Issue on Sustainability and Computing 68 (7), pp.46-53. 10.1145/3725984. hal-04920612 view on HAL pdf
Latest updated experiments {{#experiments: 5|{{{1}}}}}
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