Grid5000:Home: Difference between revisions

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 2024-04-25 08:40): 4 current events, None planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2517 overall):

Wedan Emmanuel Gnibga, Anne Blavette, Anne-Cécile Orgerie. Renewable Energy in Data Centers: the Dilemma of Electrical Grid Dependency and Autonomy Costs. IEEE Transactions on Sustainable Computing, 2023, pp.1-13. 10.1109/TSUSC.2023.3307790. hal-04189173 view on HAL pdf
Quentin Guilloteau, Jonathan Bleuzen, Millian Poquet, Olivier Richard. Transposition d'environnements distribués reproductibles avec NixOS Compose. COMPAS 2022 - Conférence francophone d'informatique en Parallélisme, Architecture et Système, Jul 2022, Amiens, France. pp.1-9. hal-03696485v2 view on HAL pdf
John Baena, Pierre Briaud, Daniel Cabarcas, Ray Perlner, Daniel Smith-Tone, et al.. Improving Support-Minors rank attacks: applications to GeMSS and Rainbow. CRYPTO 2022 - 42nd Annual International Cryptology Conference, Aug 2022, Santa Barbara (CA), United States. pp.376--405, 10.1007/978-3-031-15982-4_13. hal-03533455v2 view on HAL pdf
Clément Courageux-Sudan, Anne-Cécile Orgerie, Martin Quinson. A Wi-Fi Energy Model for Scalable Simulation. WoWMoM 2023 - 24th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, Jun 2023, Boston (MA), United States. pp.1-10. hal-04055720 view on HAL pdf
Daniel Rosendo. Methodologies for Reproducible Analysis of Workflows on the Edge-to-Cloud Continuum. Distributed, Parallel, and Cluster Computing cs.DC. INSA RENNES, 2023. English. NNT : . tel-04167278 view on HAL pdf

Latest news

Failed to load RSS feed from https://www.grid5000.fr/mediawiki/index.php?title=News&action=feed&feed=atom: Error parsing XML for RSS

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