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Grid'5000 is a large-scale and versatile 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. Key features:
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Random pick of publications
Five random publications that benefited from Grid'5000 (at least 3007 overall):
- 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
- Cédric Boscher, Nawel Benarba, Fatima Elhattab, Sara Bouchenak. Personalized Privacy-Preserving Federated Learning. Proceedings of the 25th International Middleware Conference, Dec 2024, Hong Kong, China. pp.454--466, 10.1145/3652892.3700785. hal-04770214 view on HAL pdf
- Thomas Stavis, Laurent Lefèvre, Anne-Cécile Orgerie. Intel RAPL - Ses impacts sur l’infrastructure et son utilisation comme levier énergétique. 2026. hal-05548910 view on HAL pdf
- Théo Jolivel, François Tessier, Jakob Luettgau, Gabriel Antoniu, Philippe Deniel. A Methodology for System-Scale I/O Pattern Taxonomy for HPC Workloads. 2025. hal-05448514 view on HAL pdf
- Robin Richard, Anne-Cécile Orgerie, Thomas Maugey. Experimental study of the impact of multi-threading on video encoding energy consumption. EUSIPCO 2026 - European Signal Processing Conference, Aug 2026, Bruges, Belgium. hal-05648352 view on HAL pdf
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Current funding
As from June 2008, Inria is the main contributor to Grid'5000 funding.
INRIA |
CNRS |
UniversitiesUniversité Grenoble Alpes, Grenoble INP |
Regional councilsAquitaine |