Grid5000:Home
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Grid'5000 is a precursor infrastructure of SLICES-FR, the French node of SLICES-RI, Scientific Large Scale Infrastructure for Computing/Communication Experimental Studies.
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Grid'5000 is a large-scale and flexible testbed for experiment-driven research in all areas of computer science, with a focus on parallel and distributed computing, including Cloud, HPC, Big Data and AI. Key features:
Older documents:
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Most recent news
Dear users, We are pleased to announce that Debian 13 (Trixie) std environment is now the default environment on most nodes. See `kaenv3...
Dear users, The default standard environment has changed to Debian 13 for some selected clusters over the past few weeks. Here the... Hello everyone, Let's start with a quick TLDR, details on the rationale and implementation are available below: new modules will be avail...
Recently, we have observed a critical increase in resource consumption (CPU and memory) on these nodes. This is primarily caused by VS Code Serv... |
Random pick of publications
Five random publications that benefited from Grid'5000 (at least 3007 overall):
- Baptiste Jonglez, Matthieu Simonin, Jolan Philippe, Sidi Mohammed Kaddour. Multi-provider capabilities in EnOSlib: driving distributed system experiments on the edge-to-cloud continuum. DAIS 2025: 25th International Conference on Distributed Applications and Interoperable Systems, Jun 2025, Lille, France. pp.25-42, 10.1007/978-3-031-95728-4_2. hal-05052776 view on HAL pdf
- Leo Cosseron. Time-accurate network simulation interconnecting virtual machines with hardware virtualization towards stealth analysis. Computer Science cs. Université de Rennes, 2025. English. NNT : 2025URENE005. tel-05446019 view on HAL pdf
- Cédric Prigent. Towards Efficient and Trustworthy Federated Learning on the Computing Continuum. Machine Learning cs.LG. INSA de Rennes, 2025. English. NNT : 2025ISAR0003. tel-05279213 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
- William Soto Martinez, Yannick Parmentier, Claire Gardent. Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL). 17th International Natural Language Generation Conference, Sep 2024, Tokyo, Japan. pp.70-81, 10.18653/v1/2024.inlg-main.7. hal-04681150 view on HAL pdf
Grid'5000 sites
Current funding
INRIA |
CNRS |
UniversitiesIMT Atlantique |
Regional councilsAquitaine |