Grid5000:Home

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: Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014 Report from the Grid'5000 Science Advisory Board meeting (2014) 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 2024-04-25 22:14): No current events, 1 planned (details)

Random pick of publications

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

• Mostafa Sadeghi, Paul Magron. A Sparsity-promoting Dictionary Model for Variational Autoencoders. INTERSPEECH 2022, Sep 2022, Incheon, South Korea. hal-03623769v2 view on HAL pdf
• Prerak Srivastava, Antoine Deleforge, Emmanuel Vincent. Realistic sources, receivers and walls improve the generalisability of virtually-supervised blind acoustic parameter estimators. 17th International Workshop on Acoustic Signal Enhancement (IWAENC), Sep 2022, Bamberg, Germany. hal-03727423 view on HAL pdf
• Chuyuan Li, Chloé Braud, Maxime Amblard. Multi-Task Learning for Depression Detection in Dialogs. 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2022), Sep 2022, Edinbourg, United Kingdom. pp.1-8, 10.48550/arXiv.2208.10250. hal-03724305 view on HAL pdf
• Maxime Lanvin, Pierre-François Gimenez, Yufei Han, Frédéric Majorczyk, Ludovic Mé, et al.. Towards understanding alerts raised by unsupervised network intrusion detection systems. The 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID ), Oct 2023, Hong Kong China, France. pp.135-150, 10.1145/3607199.3607247. hal-04172470 view on HAL pdf
• Mohamed Maouche, Brij Mohan Lal Srivastava, Nathalie Vauquier, Aurélien Bellet, Marc Tommasi, et al.. Enhancing speech privacy with slicing. Interspeech 2022 - Human and Humanizing Speech Technology, Sep 2022, Incheon, South Korea. hal-03369137v2 view on HAL pdf

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Grid'5000 sites

Grenoble Lille Luxembourg

Lyon Nancy Nantes

Rennes Sophia-Antipolis Toulouse

Current funding

As from June 2008, Inria is the main contributor to Grid'5000 funding.

INRIA	CNRS
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 Nord Pas de Calais Lorraine