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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]]
- Administration
Direct access to resources for {{{1}}}'s site:
- reservation state (monika) and reservation history (drawgantt) via OAR
- available resources via Ganglia
- critical services via Nagios
- opened bugs via BugZilla
- support-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 UMS
Latest updated publications Five random publications that benefited from Grid'5000 (at least 2933 overall):
- Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah. Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2024, Taipei, Taiwan. hal-04457575 view on HAL pdf
- Hugo Thomas, Guillaume Gravier, Pascale Sébillot. One-shot relation retrieval in news archives: adapting N-way K-shot relation classification for efficient knowledge extraction. KES 2024 - 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Sep 2024, Seville, Spain. pp.1060-1069. hal-04708239 view on HAL pdf
- Daniel Balouek. Performance-cost trade-offs in service orchestration for edge computing. SSDBM 2024 - 36th International Conference on Scientific and Statistical Database Management, Edge Computing; Resource Management; Computing Continuum; Trade-offs; Urgent Computing, Jul 2024, Rennes, France. pp.1-4, 10.1145/3676288.3676307. hal-04775133 view on HAL pdf
- Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni. A Multi-Objective Multi-Agent Interactive Deep Reinforcement Learning Approach for Feature Selection. International conference on neural information processing, Dec 2024, Auckland (Nouvelle Zelande), New Zealand. pp.15. hal-04723314 view on HAL pdf
- Danilo Carastan-Santos, Georges da Costa, Millian Poquet, Patricia Stolf, Denis Trystram. Light-weight prediction for improving energy consumption in HPC platforms. Euro-Par 2024, Carretero, J., Shende, S., Garcia-Blas, J., Brandic, I., Olcoz, K., Schreiber, M., Aug 2024, Madrid, Spain. pp.152-165, 10.1007/978-3-031-69577-3_11. hal-04566184v2 view on HAL pdf
Latest updated experiments {{#experiments: 5|{{{1}}}}}
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