Difference between revisions of "Grid5000:Home"

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Revision as of 10:17, 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 2021-02-27 01:39): 2 current events, 1 planned (details)


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

  • Dorian Baudry, Emilie Kaufmann, Odalric-Ambrym Maillard. Sub-sampling for Efficient Non-Parametric Bandit Exploration. NeurIPS 2020, Dec 2020, Vancouver, Canada. hal-02977552 view on HAL pdf
  • Matthieu Zimmer, Paul Weng. Exploiting the sign of the advantage function to learn deterministic policies in continuous domains. International Joint Conferences on Artificial Intelligence, Aug 2019, Macao, China. hal-02145083v2 view on HAL pdf
  • Nicolas Turpault, Romain Serizel, Emmanuel Vincent. Limitations of weak labels for embedding and tagging. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. hal-02467401v4 view on HAL pdf
  • Brij Mohan Lal Srivastava, Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, et al.. Design Choices for X-vector Based Speaker Anonymization. INTERSPEECH 2020, International Speech Communication Association (ISCA), Oct 2020, Shanghai, China. hal-02610447v2 view on HAL pdf
  • Etienne Rigaud. Représentation vectorielle de paires de verbes pour la prédiction de relations lexicales. 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL, Jun 2020, Nancy, France. pp.179-192. hal-02786199v3 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

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