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Revision as of 20:53, 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 2024-11-24 02:24): 1 current events, 3 planned (details)

Random pick of publications

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

Marie Delavergne, Geo Johns Antony, Adrien Lebre. Cheops, a Service to Blow Away Cloud Applications to the Edge. ICSOC 2022 - 20th International Conference on Service-Oriented Computing, Nov 2022, Sevilla, Spain. pp.530-539, 10.1007/978-3-031-20984-0_37. hal-03926688 view on HAL pdf
Sandipana Dowerah, Romain Serizel, Denis Jouvet, M Mohammadamini, Driss Matrouf. Joint optimization of diffusion probabilistic-based multichannel speech enhancement with far-field speaker verification. IEEE SLT 2022, Jan 2023, Doha, Qatar. hal-03671583v2 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
Luca Di Stefano, Frédéric Lang. Compositional verification of priority systems using sharp bisimulation. Formal Methods in System Design, 2024, 62, pp.1-40. 10.1007/s10703-023-00422-1. hal-04103681 view on HAL pdf
Mathilde Jay, Vladimir Ostapenco, Laurent Lefèvre, Denis Trystram, Anne-Cécile Orgerie, et al.. An experimental comparison of software-based power meters: focus on CPU and GPU. CCGrid 2023 - 23rd IEEE/ACM international symposium on cluster, cloud and internet computing, May 2023, Bangalore, India. pp.1-13, 10.1109/CCGrid57682.2023.00020. hal-04030223v2 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