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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.

Grid'5000 is merging with FIT to build the SILECS Infrastructure for Large-scale Experimental Computer Science. Read an Introduction to SILECS (April 2018)

Recently published documents and presentations:

Presentation of Grid'5000 (April 2019)
Report from the Grid'5000 Science Advisory Board (2018)

Older documents:

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 2024-04-25 09:26): 4 current events, None planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2517 overall):

Quentin Guilloteau, Bogdan Robu, Cédric Join, Michel Fliess, Éric Rutten, et al.. Model-free control for resource harvesting in computing grids. CCTA 2022 - Conference on Control Technology and Applications, CCTA 2022, Aug 2022, Trieste, Italy. 10.1109/CCTA49430.2022.9966035. hal-03663273v2 view on HAL pdf
Chih-Kai Huang, Guillaume Pierre. AdapPF: Self-Adaptive Scrape Interval for Monitoring in Geo-Distributed Cluster Federations. ISCC 2023 - 28th IEEE Symposium on Computers and Communications, IEEE, Jul 2023, Tunis, Tunisia. pp.1-7, 10.1145/3555776.3577716. hal-04103309 view on HAL pdf
Danilo Carastan dos Santos, Thi Hoang Thi Pham. Understanding the Energy Consumption of HPC Scale Artificial Intelligence. CARLA 2022 - Latin America High Performance Computing Conference, Sep 2022, Porto Alegre, Brazil. pp.1-14. hal-03845090 view on HAL pdf
Anna Mossolova, Kamel Smaïli. The only chance to understand: machine translation of the severely endangered low-resource languages of Eurasia. The Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT), COLING 2022, Oct 2022, Gyeongju, South Korea. hal-03774644 view on HAL pdf
Gustavo Salazar-Gomez, David Sierra González, Manuel Alejandro Diaz-Zapata, Anshul Paigwar, Wenqian Liu, et al.. TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction. ICARCV 2022 - 17th International Conference on Control, Automation, Robotics and Vision, Dec 2022, Singapore, Singapore. pp.1-6. hal-03768008 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
Auvergne-Rhône-Alpes
Bretagne
Champagne-Ardenne
Provence Alpes Côte d'Azur
Hauts de France
Lorraine