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Revision as of 08:23, 4 October 2019

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 IA.

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 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:

Presentation of Grid'5000 (April 2019)
Report from the Grid'5000 Science Advisory Board (2018)

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 2025-07-02 01:55): 1 current events, 7 planned (details)

Random pick of publications

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

Prerak Srivastava. Realism in virtually supervised learning for acoustic room characterization and sound source localization. Machine Learning cs.LG. Université de Lorraine, 2023. English. NNT : 2023LORR0184. tel-04313405 view on HAL pdf
Tristan Coignion, Clément Quinton, Romain Rouvoy. A Performance Study of LLM-Generated Code on Leetcode. EASE'24 - 28th International Conference on Evaluation and Assessment in Software Engineering, Jun 2024, Salerno, Italy. 10.1145/3661167.3661221. hal-04525620 view on HAL pdf
Fatmir Asllanaj, Sylvain Contassot-Vivier, Guilherme C Fraga, Francis H.R. França, Roberta J.C. da Fonseca. New gas radiation model of high accuracy based on the principle of weighted sum of gray gases. Journal of Quantitative Spectroscopy and Radiative Transfer, 2024, 315, pp.108887. 10.1016/j.jqsrt.2023.108887. hal-04375649 view on HAL pdf
Maxime Méloux, Christophe Cerisara. Novel-WD: Exploring acquisition of Novel World Knowledge in LLMs Using Prefix-Tuning. 2023. hal-04269919 view on HAL pdf
Lucas Leandro Nesi. Strategies for Distributing Task-Based Applications on Heterogeneous Platforms. Distributed, Parallel, and Cluster Computing cs.DC. Université Grenoble Alpes 2020-..; Universidade Federal do Rio Grande do Sul (Porto Alegre, Brésil), 2023. English. NNT : 2023GRALM048. tel-04468314 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
Auvergne-Rhône-Alpes
Bretagne
Champagne-Ardenne
Provence Alpes Côte d'Azur
Hauts de France
Lorraine

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 [[Image:renater5-g5k.jpg|thumbnail|250px|right|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.'''
+'''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 IA.'''
 Key features:
@@ Line 15: / Line 15: @@
 <br>
 Read more about our [[Team|teams]], our [[Publications|publications]], and the [[Grid5000:UsagePolicy|usage policy]] of the testbed. Then [[Grid5000:Get_an_account|get an account]], and learn how to use the testbed with our [[Getting_Started|Getting Started tutorial]] and the rest of our [[:Category:Portal:User|Users portal]].
+<b>Grid'5000 is merging with [https://fit-equipex.fr FIT] to build the [http://www.silecs.net/ SILECS Infrastructure for Large-scale Experimental Computer Science]. Read [http://www.silecs.net/wp-content/uploads/2018/04/Desprez-SILECS.pdf an Introduction to SILECS] (April 2018)</b>
 <br>
@@ Line 20: / Line 22: @@
 * [[Media:Grid5000.pdf|Presentation of Grid'5000]] (April 2019)
 * [https://www.grid5000.fr/mediawiki/images/Grid5000_science-advisory-board_report_2018.pdf 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 [http://www.silecs.net/wp-content/uploads/2018/04/Desprez-SILECS.pdf 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
+* [https://www.grid5000.fr/slides/2014-09-24-Cluster2014-KeynoteFD-v2.pdf Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014]
 * [https://www.grid5000.fr/ScientificCommittee/SAB%20report%20final%20short.pdf Report from the Grid'5000 Science Advisory Board (2014)]