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Key features:
 
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
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* 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
 
* '''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
 
* '''advanced monitoring and measurement features for traces collection of networking and power consumption''', providing a deep understanding of experiments

Revision as of 08:25, 17 September 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, 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 2021-02-27 01:29): 2 current events, 1 planned (details)


Random pick of publications

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

  • Sunit Sivasankaran. Localization guided speech separation. Machine Learning cs.LG. Université de Lorraine, 2020. English. NNT : 2020LORR0078. tel-02961882 view on HAL pdf
  • Nathanaël Cheriere, Matthieu Dorier, Gabriel Antoniu. Is it Worth Relaxing Fault Tolerance to Speed Up Decommission in Distributed Storage Systems?. CCGrid 2019 - IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing, May 2019, Larnaca, Cyprus. pp.1-10, 10.1109/CCGRID.2019.00024. hal-02116727 view on HAL pdf
  • Nicolas David, Paul Zimmermann. A New Ranking Function for Polynomial Selection in the Number Field Sieve. Contemporary mathematics, American Mathematical Society, 2020, 75 Years of Mathematics of Computation, 754, pp.315-325. hal-02151093v4 view on HAL pdf
  • Bastien Confais, Adrien Lebre, Benoît Parrein. A Fog storage software architecture for the Internet of Things. Advances in Edge Computing: Massive Parallel Processing and Applications, IOS Press, pp.61-105, 2020, Advances in Parallel Computing, 978-1-64368-062-0. 10.3233/APC200004. hal-02496105 view on HAL pdf
  • Nouredine Melab, Jan Gmys, Mohand Mezmaz, Daniel Tuyttens. Many-core Branch-and-Bound for GPU accelerators and MIC coprocessors. T. Bartz-Beielstein; B. Filipic; P. Korosec; E-G. Talbi. High-Performance Simulation-Based Optimization, 833, Springer, pp.16, 2019, Studies in Computational Intelligence, ISBN 978-3-030-18763-7. hal-01924766 view on HAL pdf


Latest news

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Read more news

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