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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 2021-04-15 00:43): 1 current events, 1 planned (details)


Random pick of publications

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

  • Nesryne Mejri, Briag Dupont, Georges da Costa. Energy-aware scheduling of malleable HPC applications using a Particle Swarm optimised greedy algorithm. Sustainable Computing : Informatics and Systems, Elsevier, 2020, 28, pp.100447. 10.1016/j.suscom.2020.100447. hal-02964970 view on HAL pdf
  • Maverick Chardet, Hélène Coullon, Christian Pérez. Predictable Efficiency for Reconfiguration of Service-Oriented Systems with Concerto. CCGrid 2020 : 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 2020, Melbourne, Australia. 10.1109/CCGrid49817.2020.00-59. hal-02535077 view on HAL pdf
  • Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez. Parallel Computation of PDFs on Big Spatial Data Using Spark. Distributed and Parallel Databases, Springer, 2020, 38, pp.63-100. 10.1007/s10619-019-07260-3. lirmm-02045144 view on HAL pdf
  • Tom Cornebize, Arnaud Legrand. Simulation-based Optimization and Sensibility Analysis of MPI Applications: Variability Matters. 2021. hal-03141988 view on HAL pdf
  • Adrien Faure, Giorgio Lucarelli, Olivier Richard, Denis Trystram. Online Scheduling with Redirection for Parallel Jobs. 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2020, New Orleans, France. pp.1-4, 10.1109/IPDPSW50202.2020.00066. hal-02944032 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