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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 3009 overall):

• 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
• Théophile Bastian. Towards automatic characterization of microarchitectural behaviour form performance modeling of computing kernels : an analysis of the Cortex A72 and Intel microarchitectures. Hardware Architecture cs.AR. Université Grenoble Alpes 2020-.., 2024. English. NNT : 2024GRALM072. tel-05116111 view on HAL pdf
• Simon Lambert, Vladimir Ostapenco, Laurent Lefèvre, Eddy Caron, Anne-Cécile Orgerie, et al.. Revisiting virtual machine consolidation to save resources and energy in heterogeneous production cloud infrastructures. International Journal of High Performance Computing Applications, 2025, 10.1177/10943420251399694. hal-05457159 view on HAL pdf
• Sofya Dymchenko, Abhishek Purandare, Bruno Raffin. MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning. AI4S 2024 - 5th Workshop on artificial intelligence and machine learning for scientific applications, Nov 2024, Atlanta (Georgia), United States. pp.1-9. hal-04712480 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

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

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