Grid5000:Home

Grid'5000 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: provides access to a large amount of resources: 12000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: GPU, SSD, NVMe, 10G and 25G Ethernet, Infiniband, Omni-Path highly reconfigurable and controllable: researchers can experiment with a fully customized software stack thanks to bare-metal deployment features, and can isolate their experiment at the networking layer advanced monitoring and measurement features for traces collection of networking and power consumption, providing a deep understanding of experiments designed to support Open Science and reproducible research, with full traceability of infrastructure and software changes on the testbed a vibrant community of 500+ users supported by a solid technical team Read more about our teams, our publications, and the usage policy of the testbed. Then get an account, and learn how to use the testbed with our Getting Started tutorial and the rest of our Users portal. Recently published documents and presentations: Presentation of Grid'5000 during the 1st Grid'5000-FIT school (April 2018) Report from the Grid'5000 Science Advisory Board (2018) 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: https://www.grid5000.fr/slides/2014-09-24-Cluster2014-KeynoteFD-v2.pdf Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014] Report from the Grid'5000 Science Advisory Board (2014) Grid'5000 is supported by a scientific interest group (GIS) hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations. Inria has been supporting Grid'5000 through ADT ALADDIN-G5K (2007-2013), ADT LAPLACE (2014-2016), and IPL HEMERA (2010-2014).

Current status (at 2026-02-05 05:23): 7 current events, 4 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2933 overall):

• Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah. Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2024, Taipei, Taiwan. hal-04457575 view on HAL pdf
• Houssam Elbouanani, Chadi Barakat, Walid Dabbous, Thierry Turletti. Troubleshooting Distributed Network Emulation. Annals of Telecommunications - annales des télécommunications, 2024, 79 (April), pp.227-239. 10.1007/s12243-024-01010-y. hal-04373896 view on HAL pdf
• Rodrigo Wilkens, Rémi Cardon, Amalia Todirascu, Núria Gala. 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI 2024). Workshop at the Language Resources and Evaluation Conference (LREC 2024) jointly organized by the ELRA Language Resources Association and the International Committee on Computational Linguistics, 2024, 978-2-493814-34-0. hal-04580167 view on HAL pdf
• Houssam Elbouanani, Chadi Barakat, Walid Dabbous, Thierry Turletti. Fidelity-aware Large-scale Distributed Network Emulation. Computer Networks, 2024, 10.1016/j.comnet.2024.110531. hal-04591699 view on HAL pdf
• Maxime Gobert. Contributions to the Analysis and Design of Parallel Batched Bayesian Optimization Algorithms. Operations Research math.OC. Université de Mons (Belgique), 2024. English. NNT : . tel-04801888 view on HAL pdf

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Grid'5000 sites

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Current funding

As from June 2008, Inria is the main contributor to Grid'5000 funding.

INRIA	CNRS
Universities Université Grenoble Alpes, Grenoble INP Université Rennes 1, Rennes Institut National Polytechnique de Toulouse / INSA / FERIA / Université Paul Sabatier, Toulouse Université Bordeaux 1, Bordeaux Université Lille 1, Lille École Normale Supérieure, Lyon	Regional councils Aquitaine Auvergne-Rhône-Alpes Bretagne Champagne-Ardenne Provence Alpes Côte d'Azur Hauts de France Lorraine