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Revision as of 09:05, 9 November 2018

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 2026-02-17 05:22): 4 current events, 5 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2934 overall):

Maël Madon. Digital Sufficiency in Data Centers : Studying the Impact of User Behaviors. Computer Science cs. Université de Toulouse, 2024. English. NNT : 2024TLSES046. tel-04675558 view on HAL pdf
Eva Giboulot, Teddy Furon. WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off. NeurIPS 2024 - 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada. pp.1-34. hal-04766606 view on HAL pdf
Lucian Trestioreanu, Flaviene Scheidt, Wazen M. Shbair, Jerome Francois, Damien Magoni, et al.. To Squelch or not to Squelch: Enabling Improved Message Dissemination on the XRP Ledger. 37th IEEE/IFIP Network Operations and Management Symposium (NOMS 2024), May 2024, Séoul, South Korea. hal-04621124 view on HAL pdf
Jan Aalmoes. Intelligence artificielle pour des services moraux : Concilier équité et confidentialité. Intelligence artificielle cs.AI. INSA de Lyon, 2024. Français. NNT : 2024ISAL0126. tel-05014177 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

Latest news

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Grid'5000 sites

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
Bretagne
Champagne-Ardenne
Provence Alpes Côte d'Azur
Hauts de France
Lorraine

@@ Line 7: / Line 7: @@
 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 Ethernet, Infiniband, Omnipath
+* 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