Grid5000:Home: Difference between revisions
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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]]. | 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> | |||
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* [[Media:Grid5000.pdf|Presentation of Grid'5000]] (April 2019) | * [[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)] | * [https://www.grid5000.fr/mediawiki/images/Grid5000_science-advisory-board_report_2018.pdf Report from the Grid'5000 Science Advisory Board (2018)] | ||
Older documents: | Older documents: | ||
Revision as of 15:37, 28 May 2019
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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. Key features:
Grid'5000 is merging with FIT to build the SILECS Infrastructure for Large-scale Experimental Computer Science. Read an Introduction to SILECS (April 2018)
Older documents:
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Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2938 overall):
- Célia Mahamdi. Multi-Consensus distribué : agrégation et révocabilité. Réseaux et télécommunications cs.NI. Sorbonne Université, 2024. Français. NNT : 2024SORUS426. tel-04919363 view on HAL pdf
- Mai Huong Do, Millian Poquet, Georges da Costa. FedE-ator : A framework for energy consumption analysis of federated learning in distributed systems. Compas’2025 : Parallélisme / Architecture/ Système, Jul 2025, Bordeaux, France. hal-05181877 view on HAL pdf
- Maël Madon. Digital Sufficiency in Data Centers : Studying the Impact of User Behaviors. Computer Science cs. Université de Toulouse, 2024. English. NNT : 2024TLSES046. tel-04675558 view on HAL pdf
- Reda Khoufache, Anisse Belhadj, Mustapha Lebbah, Hanene Azzag. Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, May 2024, Taipei, Taiwan. pp.271-283, 10.1007/978-981-97-2242-6_22. hal-04623748 view on HAL pdf
- Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Etienne Goffinet, Djamel Bouchaffra. Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. SIAM International Conference on Data Mining (SDM24), Apr 2024, Houston, Texas, United States. pp.815 - 823, 10.1137/1.9781611978032.93. hal-04457596 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 |
UniversitiesUniversité Grenoble Alpes, Grenoble INP |
Regional councilsAquitaine |