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Revision as of 23:57, 11 February 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: 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:

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 2024-11-24 00:41): 1 current events, 3 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2524 overall):

Mateusz Gienieczko, Filip Murlak, Charles Paperman. Supporting Descendants in SIMD-Accelerated JSONPath. International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2024), 2024, San Diego (California), United States. pp.338-361, 10.4230/LIPIcs. hal-04398350 view on HAL pdf
Marc Jourdan, Rémy Degenne, Dorian Baudry, Rianne de Heide, Emilie Kaufmann. Top Two Algorithms Revisited. NeurIPS 2022 - 36th Conference on Neural Information Processing System, Nov 2022, New Orleans, United States. hal-03825103 view on HAL pdf
Simon Delamare, David Margery, Pierre Neyron, Lucas Nussbaum. Évolution du matériel et des services logiciels disponibles dans Grid’5000. 2023. hal-04098050 view on HAL pdf
Yasmina Bouizem, Djawida Dib, Nikos Parlavantzas, Christine Morin. Integrating request replication into FaaS platforms: an experimental evaluation. Journal of Cloud Computing: Advances, Systems and Applications, 2023, 12 (1), pp.1-20. 10.1186/s13677-023-00457-z. hal-04159510 view on HAL pdf
Céline Acary-Robert, Emmanuel Agullo, Ludovic Courtès, Marek Felšöci, Konrad Hinsen, et al.. Guix-HPC Activity Report 2022–2023. Inria Bordeaux - Sud Ouest. 2024, pp.1-32. hal-04500140 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''': 15000 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: 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