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[[Image:renater5-g5k.jpg|thumbnail|250px|right|Grid'5000]]
 
[[Image:renater5-g5k.jpg|thumbnail|250px|right|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.'''
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'''Grid'5000 is a large-scale and flexible 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 and AI.'''
  
 
Key features:
 
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
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* provides '''access to a large amount of resources''': 15000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: PMEM, 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
 
* '''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 23:57, 11 February 2020

Grid'5000

Grid'5000 is a large-scale and flexible 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 and AI.

Key features:

  • provides access to a large amount of resources: 15000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: PMEM, 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 2021-03-02 11:15): 3 current events, 1 planned (details)


Random pick of publications

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

  • Raphaël Duroselle, Denis Jouvet, Irina Illina. Unsupervised regularization of the embedding extractor for robust language identification. Odyssey 2020 - The Speaker and Language Recognition Workshop, Nov 2020, Tokyo, Japan. hal-02544156 view on HAL pdf
  • Zakaria Ournani, Mohammed Chakib Belgaid, Romain Rouvoy, Pierre Rust, Joël Penhoat, et al.. Taming Energy Consumption Variations in Systems Benchmarking. ICPE'2020 - 11th ACM/SPEC International Conference on Performance Engineering, Apr 2020, Edmonton, Canada. 10.1145/3358960.3379142. hal-02403379 view on HAL pdf
  • Rafael Ferreira da Silva, Henri Casanova, Anne-Cécile Orgerie, Ryan Tanaka, Ewa Deelman, et al.. Characterizing, Modeling, and Accurately Simulating Power and Energy Consumption of I/O-intensive Scientific Workflows. Journal of computational science, Elsevier, 2020, 44, pp.101157. 10.1016/j.jocs.2020.101157. hal-02876736 view on HAL pdf
  • Sophie Cerf. Control Theory for Computing Systems: Application to big-data cloud services & location privacy protection. Systems and Control cs.SY. UNIVERSITÉ GRENOBLE ALPES, 2019. English. tel-02272258 view on HAL pdf
  • Amir Wonjiga, Sean Peisert, Louis Rilling, Christine Morin. Blockchain as a Trusted Component in Cloud SLA Verification. UCC 2019 - 12th IEEE/ACM International Conference on Utility and Cloud Computing, Dec 2019, Auckland, New Zealand. pp.93-100, 10.1145/3368235.3368872. hal-02354647v3 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
Auvergne-Rhône-Alpes
Bretagne
Champagne-Ardenne
Provence Alpes Côte d'Azur
Hauts de France
Lorraine