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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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 3000 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
- Georges da Costa. Hardware and application aware performance, power and energy models for modern HPC servers with DVFS. Sustainable Computing : Informatics and Systems, 2025, 46, pp.101106. 10.1016/j.suscom.2025.101106. hal-04983485 view on HAL pdf
- Romain Fontaine, Christine Solnon. Experimental study of the impact of time window generation on solver performance for the TSPTW. ROADEF 2026 - 27ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Université de Tours, Feb 2026, Tours, France. hal-05712919 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
- Matthieu Simonin, Anne-Cécile Orgerie. Méthodologies de calcul d'empreinte carbone sur une plateforme de calcul : exemple du site Grid'5000 de Rennes. JRES 2024 - Journées réseaux de l'enseignement et de la recherche, Renater, Dec 2024, Rennes, France. pp.1-14. hal-04893984 view on HAL pdf
Grid'5000 sites
Current funding
INRIA |
CNRS |
UniversitiesIMT Atlantique |
Regional councilsAquitaine |