Grid5000:Home
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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 and Big Data and AI. Key features:
Grid'5000 is merging with FIT to build the SILECS Infrastructure for Large-scale Experimental Computer Science. Read an Introduction to SILECS (April 2018)
Older documents:
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Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2976 overall):
- Louis Roussel. Integral equations modelling and deep learning. Machine Learning cs.LG. Université de Lille, 2025. English. NNT : 2025ULILB033. tel-05567799v2 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
- Gautier Evennou, Vivien Chappelier, Ewa Kijak, Teddy Furon. SWIFT: Semantic Watermarking for Image Forgery Thwarting. WIFS 2024 - 16th IEEE International Workshop on Information Forensics and Security, IEEE, Dec 2024, Roma, Italy. pp.1-6. hal-04728070 view on HAL pdf
- Thomas Stavis, Laurent Lefèvre, Anne-Cécile Orgerie. Placing leverages on Clouds for footprint reduction. ICT4S - International Conference on Information and Communications Technology for Sustainability, Jun 2025, Dublin, Ireland. 2025. hal-05491814 view on HAL pdf
- Cherif Latreche, Nikos Parlavantzas, Hector A Duran-Limon. Do We Need Reinforcement Learning for Serverless Scheduling at the Edge? A Comparative Evaluation. 25th IEEE International Symposium on Parallel and Distributed Computing (ISPDC 2026), Jul 2026, Hambourg, Germany. hal-05626844v2 view on HAL pdf
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Grid'5000 sites
Current funding
As from June 2008, Inria is the main contributor to Grid'5000 funding.
INRIA |
CNRS |
UniversitiesUniversité Grenoble Alpes, Grenoble INP |
Regional councilsAquitaine |