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Revision as of 14:26, 2 August 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: 1000 nodes, 8000 cores, grouped in homogeneous clusters, and featuring various technologies: 10G Ethernet, Infiniband, GPUs, Xeon PHI
  • 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:

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 2025-09-15 22:02): 4 current events, 3 planned (details)


Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2921 overall):

  • Lucas Leandro Nesi, Arnaud Legrand, Lucas Mello Schnorr. Asynchronous multi-phase task-based applications: Employing different nodes to design better distributions. Future Generation Computer Systems, 2023, 147, pp.119-135. 10.1016/j.future.2023.05.005. hal-04695275 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
  • Berné Nortier, Mostafa Sadeghi, Romain Serizel. Unsupervised speech enhancement with diffusion-based generative models. International Conference on Acoustics Speech and Signal Processing (ICASSP), IEEE, Apr 2024, Seoul (Korea), South Korea. 10.48550/arXiv.2309.10450. hal-04210707v2 view on HAL pdf
  • Adrien Berthelot, Eddy Caron, Mathilde Jay, Laurent Lefèvre. Estimating the environmental impact of Generative-AI services using an LCA-based methodology. CIRP LCE 2024 - 31st Conference on Life Cycle Engineering, Jun 2024, Turin, Italy. pp.1-10. hal-04346102v2 view on HAL pdf
  • Francisco Pinto, Veronica Carlsson, Mathias Meunier, Bert Van Bocxlaer, Hammouda Elbez, et al.. Morphometrics and machine learning discrimination of the middle Eocene radiolarian species Podocyrtis chalara, Podocyrtis goetheana and their morphological intermediates. Marine Micropaleontology, In press, pp.102293. 10.1016/j.marmicro.2023.102293. hal-04215322 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

Logo INRIA.gif

CNRS

CNRS-filaire-Quadri.png

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