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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 2945 overall):

• 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
• Roblex Nana Tchakoute, Claude Tadonki, Petr Dokladal, Petr Dokladal, Youssef Mesri. A Flexible Operational Framework for Energy Profiling of Programs. 2024 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW), Nov 2024, Hilo, United States. pp.12-22, 10.1109/SBAC-PADW64858.2024.00014. hal-04819054 view on HAL pdf
• Georges da Costa, Amina Guermouche. Measurement methods sheet, WG6 Exa-Soft. Université de Toulouse; Université de bordeaux. 2025. hal-05272179 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
• Pierre Jacquet, Maxime Agusti, Eddy Caron, Camille Coti, Marcos Dias de Assuncao, et al.. Untangling GPU Power Consumption: Job-Level Inference in Cloud Shared Settings. EUROSYS 2026 - European Conference on Computer Systems, ACM, Apr 2026, Edinbourg, Ecosse, United Kingdom. 10.1145/3767295.3769333. hal-05291033 view on HAL pdf

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

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