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Revision as of 11:17, 23 March 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:


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 2025-05-15 04:57): 7 current events, 6 planned (details)


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

  • Abir Bouaouda, Rémi Pannequin, François Charpillet, Dominique Martinez, Mohamed Boutayeb. Dynamic modeling and AI-based control of a cable-driven parallel robot. 22nd IFAC World Congress, IFAC 2023, Jul 2023, Yokohama, Japan. 10.1016/j.ifacol.2023.10.868. hal-04201285 view on HAL pdf
  • Ismaël Tankeu, Geoffray Bonnin. Towards Characterising Induced Emotions: Exploiting Physiological Data and Investigating the Effect of Music Familiarity. MuRS 2024: 2nd Music Recommender Systems Workshop, Oct 2024, Bari, Italy. hal-04703972 view on HAL pdf
  • Thomas Tournaire, Hind Castel-Taleb, Emmanuel Hyon. Efficient Computation of Optimal Thresholds in Cloud Auto-scaling Systems. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 2023, 8 (4), pp.9. 10.1145/3603532. hal-04176076 view on HAL pdf
  • Hugo Pompougnac, Alban Dutilleul, Christophe Guillon, Nicolas Derumigny, Fabrice Rastello. Performance bottlenecks detection through microarchitectural sensitivity. Institut National de Recherche en Informatique et en Automatique (INRIA). 2024, pp.1-15. hal-04796942 view on HAL pdf
  • Alexandre Sabbadin, Abdel Kader Chabi Sika Boni, Hassan Hassan, Khalil Drira. Optimizing network slice placement using Deep Reinforcement Learning (DRL) on a real platform operated by Open Source MANO (OSM). Tunisian-Algerian Conference on Applied Computing (TACC 2023), Nov 2023, Sousse, Tunisia. hal-04265140 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
Nord Pas de Calais
Lorraine