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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, Omnipath, 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 2021-03-07 00:54): 1 current events, None planned (details)


Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2143 overall):

  • Ajinkya Kulkarni, Vincent Colotte, Denis Jouvet. Deep variational metric learning for transfer of expressivity in multispeaker text to Speech. SLSP 2020 - 8th International Conference on Statistical Language and Speech Processing, Oct 2020, Cardiff / Virtual, United Kingdom. hal-02573885v2 view on HAL pdf
  • Oleksii Avilov, Sébastien Rimbert, Anton Popov, Laurent Bougrain. Deep Learning Techniques to Improve Intraoperative Awareness Detection from Electroencephalographic Signals. IEEE Engineering in Medicine and Biology Society 2020, Jul 2020, Montreal, Canada. hal-02920320 view on HAL pdf
  • Clément Elbaz, Louis Rilling, Christine Morin. Automated Keyword Extraction from "One-day" Vulnerabilities at Disclosure. NOMS 2020 - IEEE/IFIP Network Operations and Management Symposium, Apr 2020, Budapest, Hungary. pp.1-9. hal-02506364 view on HAL pdf
  • Neil Ayeb, Eric Rutten, Sebastien Bolle, Thierry Coupaye, Marc Douet. Coordinated autonomic loops for target identification, load and error-aware Device Management for the IoT. FedCSIS 2020 - 15th Federated Conference on Computer Science and Information Systems, Sep 2020, Sofia, Bulgaria. pp.1-10. hal-02934785 view on HAL pdf
  • Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, et al.. Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. DCASE 2020 - 5th Workshop on Detection and Classification of Acoustic Scenes and Events, Nov 2020, Virtual, Japan. hal-02962907 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