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):
- Léo Valque. 3D Snap rounding. Computer Science cs. Université de Lorraine, 2024. English. NNT : 2024LORR0337. tel-05016163 view on HAL pdf
- Honore Cesaire Mounah, Djob Mvondo, Julia Lawall, Yérom-David Bromberg. The Impact of Kernel Asynchronous APIs on the Performance of a Kernel VPN. SYSTOR 2025 - 18th ACM International System and Storage Conference, Sep 2025, Virtual conference, Israel. pp.167-173, 10.1145/3757347.3759133. hal-05211974 view on HAL pdf
- Ishaan Shah, S Lucas, G Drettakis. Frequency-Aware Spatial-Angular Gaussians for Efficient Global Illumination Precomputation and Real-Time Rendering. Computer Graphics Forum, In press, 45 (4), 10.1111/cgf.70542. hal-05702737 view on HAL pdf
- Thomas Bouvier. Distributed Rehearsal Buffers for Continual Learning at Scale. Machine Learning cs.LG. INSA de Rennes, 2024. English. NNT : 2024ISAR0011. tel-04986111 view on HAL pdf
- Cherif Latreche, Nikos Parlavantzas, Hector A Duran-Limon. FoRLess: A Deep Reinforcement Learning-based approach for FaaS Placement in Fog. UCC 2024 - 17th IEEE/ACM International Conference on Utility and Cloud Computing, Dec 2024, Sharjah, United Arab Emirates. pp.1-9. hal-04791252 view on HAL pdf
Grid'5000 sites
Current funding
INRIA |
CNRS |
UniversitiesIMT Atlantique |
Regional councilsAquitaine |