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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 2024-04-26 15:07): No current events, 1 planned (details)


Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2517 overall):

  • Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens. On the Robustness of Controlled Deep Reinforcement Learning for Slice Placement. Journal of Network and Systems Management, 2022, 30 (3), pp.43. 10.1007/s10922-022-09654-8. hal-03954527 view on HAL pdf
  • Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec, Vlad Nitu, Rhicheek Patra, et al.. FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction. ACM Transactions on Intelligent Systems and Technology, 2022, 13 (5), pp.1-30. 10.1145/3527621. hal-03906055 view on HAL pdf
  • Aimen Djari, Emmanuelle Anceaume, Sara Tucci-Piergiovanni. Simulation study of Sycomore ++ , a self-adapting graph-based permissionless distributed ledger. Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), Sep 2022, Paris, France. hal-03637382 view on HAL pdf
  • Radita Liem, Shadi Ibrahim. Revisit Data Partitioning in Data-intensive workflows. PDSW 2022 - 7th International Parallel Data Systems Workshop, Nov 2022, Dallas, United States. hal-03913369 view on HAL pdf
  • Emile Cadorel, Romain Rouvoy. Enabling Dynamic Virtual Frequency Scaling for Virtual Machines in the Cloud. Proceedings of the the IEEE Cluster Conference, Sep 2022, Heidelberg, Germany. hal-03741013 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