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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 2943 overall):
- Jad El Karchi, Hanze Chen, Ali Tehranijamsaz, Ali Jannesari, Mihail Popov, et al.. MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR. IPDPS 2024 - 38th International Symposium on Parallel and Distributed Processing, May 2024, San francisco, United States. hal-04724011 view on HAL pdf
- Jérémie Rodez, Patricia Stolf, Thierry Monteil. Placement of Distributed Machine Learning Services for AI- and Smart Grid-Enabled IoT Platforms. 2026. hal-05279358 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
- Danilo Carastan-Santos, Georges da Costa, Igor Fontana de Nardin, Millian Poquet, Krzysztof Rzadca, et al.. Scheduling with lightweight predictions in power-constrained HPC platforms. IEEE Transactions on Parallel and Distributed Systems, 2025, pp.1-12. 10.1109/TPDS.2025.3586723. hal-04747713v3 view on HAL pdf
- Justin Dachille, Aurora Rossi, Sunil Kumar Maurya, Frederik Mallman-Trenn, Xin Liu, et al.. BRAVA-GNN: Betweenness Ranking Approximation Via Degree MAss Inspired Graph Neural Network. 2026. hal-05502800 view on HAL pdf
Latest updated experiments {{#experiments: 5|{{{1}}}}}
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