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Revision as of 21:53, 19 January 2020

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: 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 2025-07-01 12:37): 1 current events, 7 planned (details)

Random pick of publications

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

Geo Johns Antony, Marie Delavergne, Adrien Lebre, Matthieu Rakotojaona Rainimangavelo. Thinking out of replication for geo-distributing applications: the sharding case. ICFEC 2024: 8th IEEE International Conference on Fog and Edge Computing, May 2024, Philadelphia, United States. pp.1-8, 10.1109/ICFEC61590.2024.00019. hal-04522961 view on HAL pdf
Igor Fontana de Nardin. Ordonnancement en ligne de tâches IT et engagement de sources dans un centre de calcul alimenté par des énergies renouvelables. Réseaux et télécommunications cs.NI. Institut National Polytechnique de Toulouse - INPT, 2023. Français. NNT : 2023INPT0104. tel-04361471 view on HAL pdf
Imran Ahamad Sheikh, Emmanuel Vincent, Irina Illina. Training RNN Language Models on Uncertain ASR Hypotheses in Limited Data Scenarios. Computer Speech and Language, 2024, 83, pp.101555. 10.1016/j.csl.2023.101555. hal-03327306v2 view on HAL pdf
Can Cui, Imran Ahamad Sheikh, Mostafa Sadeghi, Emmanuel Vincent. End-to-end Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis. 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2023), Dec 2023, Taipei, Taiwan. 10.1109/ASRU57964.2023.10389729. hal-04235774 view on HAL pdf
Govind KP, Guillaume Pierre, Romain Rouvoy. Studying the Energy Consumption of Stream Processing Engines in the Cloud. IC2E 2023 - 11th IEEE International Conference on Cloud Engineering, IEEE, Sep 2023, Boston (MA), United States. pp.1-9. hal-04164074 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

@@ Line 7: / Line 7: @@
 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
+* provides '''access to a large amount of resources''': 15000 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