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Revision as of 09:23, 18 September 2018

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: 12000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: GPU, SSD, NVMe, 10G Ethernet, Infiniband, Omnipath
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:

Presentation of Grid'5000 during the 1st Grid'5000-FIT school (April 2018)
Report from the Grid'5000 Science Advisory Board (2018)
Grid'5000 is merging with FIT to build the SILECS Infrastructure for Large-scale Experimental Computer Science. Read an Introduction to SILECS (April 2018)

Older documents:

https://www.grid5000.fr/slides/2014-09-24-Cluster2014-KeynoteFD-v2.pdf Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014]
Report from the Grid'5000 Science Advisory Board (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 2025-07-01 21:29): 1 current events, 7 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2777 overall):

Jean-Baptiste Decourcelle, Tu Dinh Ngoc, Boris Teabe, Daniel Hagimont. Fast VM Replication on Heterogeneous Hypervisors for Robust Fault Tolerance. Middleware '23: 24th International Middleware Conference, Dec 2023, Bologna Italy, France. 14 p., 10.1145/3590140.3592849. hal-04095419 view on HAL pdf
Guillaume Schreiner, Pierre Neyron. SLICES-FR : l’infrastructure de recherche nationale pour l’expérimentation Cloud et Réseaux du futur. JRES 2024 - Journées réseaux de l'enseignement et de la recherche, Renater, Dec 2024, Rennes, France. pp.1-15. hal-04893845 view on HAL pdf
Liam Cripwell, Joël Legrand, Claire Gardent. Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification. 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023, Singapore, Singapore. pp.12053-12059, 10.18653/v1/2023.emnlp-main.739. hal-04369824 view on HAL pdf
Igor Fontana de Nardin, Patricia Stolf, Stéphane Caux. BEASY: Making EASY backfilling renewable-only. 35th IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2023), IEEE, Oct 2023, Porto Alegre, Brazil. pp.57-67, 10.1109/SBAC-PAD59825.2023.00015. hal-04206083 view on HAL pdf
Nicolas Amat, Pierre Bouvier, Hubert Garavel. A Toolchain to Compute Concurrent Places of Petri Nets. LNCS Transactions on Petri Nets and Other Models of Concurrency, 2023, Lecture Notes in Computer Science, 14150, pp.1-26. 10.1007/978-3-662-68191-6_1. hal-04392784 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

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
Hauts de France
Lorraine

@@ Line 7: / Line 7: @@
 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, Omnipath, GPUs, Xeon PHI
+* provides '''access to a large amount of resources''': 12000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: GPU, SSD, NVMe, 10G Ethernet, Infiniband, Omnipath
 * '''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