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==Latest news==
==Latest news==
<rss max=4 item-max-length="2000">https://www.grid5000.fr/mediawiki/index.php?title=News&action=feed&feed=atom</rss>
<rss max=4 item-max-length="2000">https://www.grid5000.fr/mediawiki/index.php?title=News&action=feed&feed=atom</rss>

Revision as of 11:13, 23 March 2018


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:

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 2021-04-22 16:41): No current events, 1 planned (details)

Five random publications that benefited from Grid'5000 (at least 2167 overall):

  • 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
  • Manuel Alejandro Diaz-Zapata. Contribution to Panoptic Segmentation. Technical Report RT-0506, Inria; Universidad Autónoma de Occidente. 2019. hal-02300774v2 view on HAL pdf
  • Paul Zimmermann. Accuracy of Mathematical Functions in Single, Double, Extended Double and Quadruple Precision. 2021. hal-03141101 view on HAL pdf
  • Frédéric Lang, Radu Mateescu, Franco Mazzanti. Sharp Congruences Adequate with Temporal Logics Combining Weak and Strong Modalities. TACAS 2020 - Tools and Algorithms for the Construction and Analysis of Systems, Apr 2020, Dublin, Ireland. pp.57-76, 10.1007/978-3-030-45237-7_4. hal-02555692 view on HAL pdf
  • Manuel Alejandro Diaz-Zapata. YOLO-Based Panoptic Segmentation. Computer Vision and Pattern Recognition cs.CV. 2020. hal-02884735v2 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.


Logo INRIA.gif




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

Provence Alpes Côte d'Azur
Nord Pas de Calais