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 16:37, 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 3009 overall):
- Antoine Franchini, Stéphane Girard, Anne Dutfoy. Adaptive confidence intervals for extreme quantiles from heavy-tailed distributions. Statistics and Computing, 2026, 36, pp.175. 10.1007/s11222-026-10930-9. hal-05322341v3 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
- Yarin Oziel, Tomer Laor, Shlomi Levy, Clémentine Maurice, Yossi Oren, et al.. WIP: A Second Look at Port Assignment on Intel CPUs. uASC 2026 - 2nd Microarchitecture Security Conference, Feb 2026, Leuven, Belgium. hal-05337434 view on HAL pdf
- Thomas Bouvier. Distributed Rehearsal Buffers for Continual Learning at Scale. Machine Learning cs.LG. INSA de Rennes, 2024. English. NNT : 2024ISAR0011. tel-04986111 view on HAL pdf
- Florian Rascoussier. Kayros. 2026, swh:1:dir:ba5d8e22795d91155334793acfe25b1590dbcf71;origin=https://github.com/0nyr/kayros;visit=swh:1:snp:9ed357ab3ca3e346a96ecfc306b6958d222e8d1a;anchor=swh:1:rev:e30fa492466b67809cdfd1e4b945230ba0bdcb2e. hal-05697652 view on HAL
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 |