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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: 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:


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 2025-04-23 22:29): 5 current events, 7 planned (details)

Five random publications that benefited from Grid'5000 (at least 2758 overall):

  • Rosa Pagano. Adaptive control of HPC clusters for server overload avoidance. Distributed, Parallel, and Cluster Computing cs.DC. 2023. hal-04390558 view on HAL pdf
  • Geo Johns Antony, Marie Delavergne, Adrien Lebre, Matthieu Rakotojaona Rainimangavelo. Thinking out of replication for geo-distributing applications: the sharding case. ICFEC 2024: 8th IEEE International Conference on Fog and Edge Computing, May 2024, Philadelphia, United States. pp.1-8, 10.1109/ICFEC61590.2024.00019. hal-04522961 view on HAL pdf
  • Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni. A Multi-Objective Multi-Agent Interactive Deep Reinforcement Learning Approach for Feature Selection. International conference on neural information processing, Dec 2024, Auckland (Nouvelle Zelande), New Zealand. pp.15. hal-04723314 view on HAL pdf
  • Valérie Marissens Cueva, Laurent Bougrain. Contrastive Self-Supervised Learning for Motor Imagery: impact of the embedding size. 10th International BCI Meeting Balancing Innovation and Translation, BCI Society, Jun 2023, Bruxelles, Belgium. hal-04126477 view on HAL pdf
  • Abdelghani Alidra, Hugo Bruneliere, Hélène Coullon, Thomas Ledoux, Charles Prud'Homme, et al.. SeMaFoR - Self-Management of Fog Resources with Collaborative Decentralized Controllers. SEAMS 2023: IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems, May 2023, Melbourne, Australia. pp.25-31, 10.1109/SEAMS59076.2023.00014. hal-04043471 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

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CNRS

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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
Nord Pas de Calais
Lorraine