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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: 12000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: GPU, SSD, NVMe, 10G and 25G Ethernet, Infiniband, Omni-Path
  • 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.

Grid'5000 is merging with FIT to build the SILECS Infrastructure for Large-scale Experimental Computer Science. Read an Introduction to SILECS (April 2018)


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 2021-02-27 02:37): 2 current events, 1 planned (details)


Random pick of publications

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

  • Guillaume Briffoteaux, Maxime Gobert, Romain Ragonnet, Jan Gmys, Mohand Mezmaz, et al.. Parallel Surrogate-assisted Optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO. Swarm and Evolutionary Computation, Elsevier, 2020, pp.100717. 10.1016/j.swevo.2020.100717. hal-02767541 view on HAL pdf
  • Nicolas Turpault, Romain Serizel. Training Sound Event Detection On A Heterogeneous Dataset. DCASE Workshop, Nov 2020, Tokyo, Japan. hal-02891665v2 view on HAL pdf
  • Mehmet Ali Tuğtekin Turan, Emmanuel Vincent, Denis Jouvet. Achieving multi-accent ASR via unsupervised acoustic model adaptation. INTERSPEECH 2020, Oct 2020, Shanghai, China. hal-02907929 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
  • Haniel Barbosa, Jasmin Blanchette, Mathias Fleury, Pascal Fontaine. Scalable Fine-Grained Proofs for Formula Processing. Journal of Automated Reasoning, Springer Verlag, 2020, 64 (3), pp.485-510. 10.1007/s10817-018-09502-y. hal-02515103 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
Auvergne-Rhône-Alpes
Bretagne
Champagne-Ardenne
Provence Alpes Côte d'Azur
Hauts de France
Lorraine