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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 3000 overall):
- Neuville-Burguière Benjamin, Huet Fabrice, Baude Françoise. Latency Aware and ressource-efficient bin pack autoscaling for distributed event queues : An application to microservices architectures. Conférence francophone d'informatique en Parallélisme, Architecture et Système (COMPAS 2026), Jun 2026, Anglet, France. hal-05659911 view on HAL pdf
- 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
- 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
- Vladimir Ostapenco, Laurent Lefèvre, Anne-Cécile Orgerie, Benjamin Fichel. Exploring RAPL as a Power Capping Leverage for Power-Constrained Infrastructures. ICA3PP 2024 - 24th International Conference on Algorithms and Architectures for Parallel Processing, Oct 2024, Macau SAR, China. pp.1-10. hal-04742418 view on HAL pdf
- 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
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As from June 2008, Inria is the main contributor to Grid'5000 funding.
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