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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, 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 01:59): 2 current events, 1 planned (details)


Random pick of publications

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

  • 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
  • Nathanael Cheriere, Matthieu Dorier, Gabriel Antoniu. How fast can one resize a distributed file system?. Journal of Parallel and Distributed Computing, Elsevier, 2020, 140, pp.80-98. 10.1016/j.jpdc.2020.02.001. hal-02961875 view on HAL pdf
  • Ahmed Amamou, Martin Camey, Christophe Cérin, Jonathan Rivalan, Julien Sopena. Resources management for controlling dynamic loads in clouds environments. The Wolphin project experience. Research Report Université Sorbonne Paris Nord; Sorbonne Université. 2020. hal-02481264 view on HAL pdf
  • Vikas Jaiman. Improving Performance Predictability in Cloud Data Stores. Machine Learning cs.LG. Université Grenoble Alpes, 2019. English. NNT : 2019GREAM016. tel-02301338 view on HAL pdf
  • Shu-Mei Tseng, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran, et al.. Towards Portable Online Prediction of Network Utilization using MPI-level Monitoring. EuroPar'19: 25th International European Conference on Parallel and Distributed Systems, Aug 2019, Goettingen, Germany. hal-02184204 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