Grid5000:Home: Difference between revisions
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| [[Image:renater5-g5k.jpg|thumbnail|250px|right|Grid'5000]] | [[Image:renater5-g5k.jpg|thumbnail|250px|right|Grid'5000]] | ||
| '''Grid'5000 is a large-scale and  | '''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: | Key features: | ||
| * provides '''access to a large amount of resources''':  | * 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 | * '''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 | * '''advanced monitoring and measurement features for traces collection of networking and power consumption''', providing a deep understanding of experiments | ||
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| <br> | <br> | ||
| 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> | |||
| <br> | <br> | ||
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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: | ||
| * https://www.grid5000.fr/slides/2014-09-24-Cluster2014-KeynoteFD-v2.pdf Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014] | * [https://www.grid5000.fr/slides/2014-09-24-Cluster2014-KeynoteFD-v2.pdf Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014] | ||
| * [https://www.grid5000.fr/ScientificCommittee/SAB%20report%20final%20short.pdf Report from the Grid'5000 Science Advisory Board (2014)] | * [https://www.grid5000.fr/ScientificCommittee/SAB%20report%20final%20short.pdf Report from the Grid'5000 Science Advisory Board (2014)] | ||
Revision as of 23:57, 11 February 2020
| 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: 
 
 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: 
 
 | 
Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2925 overall):
- Alan Lira Nunes, Cristina Boeres, Lúcia Maria de A. Drummond, Laércio Lima Pilla. Optimal Time and Energy-Aware Client Selection Algorithms for Federated Learning on Heterogeneous Resources. 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Nov 2024, Hilo, France. pp.148-158, 10.1109/SBAC-PAD63648.2024.00021. hal-04690494v2 view on HAL pdf
- Thomas Firmin, Pierre Boulet, El-Ghazali Talbi. Asynchronous Multi-fidelity Hyperparameter Optimization Of Spiking Neural Networks. International Conference on Neuromorphic Systems (ICONS 2024), Jul 2024, Washington, United States. hal-04781629 view on HAL pdf
- Jérôme Rouzé, Nouredine Melab, Daniel Tuyttens. A Parallel Genetic Algorithm for Qubit Mapping on Noisy Intermediate-Scale Quantum Machines. International Conference in Optimization and Learning - OLA 2024, May 2024, Dubrovnik, Croatia. hal-04916922 view on HAL pdf
- Guillaume Schreiner, Pierre Neyron. SLICES-FR : l’infrastructure de recherche nationale pour l’expérimentation Cloud et Réseaux du futur. JRES 2024 - Journées réseaux de l'enseignement et de la recherche, Renater, Dec 2024, Rennes, France. pp.1-15. hal-04893845 view on HAL pdf
- Thierry Garcia. Algorithmes Parallèles Asynchrones : implémentation et simulation d’applications modélisées par des équations pseudo-linéaires.. Distributed, Parallel, and Cluster Computing cs.DC. Institut National Polytechnique de Toulouse, 2024. tel-04919001 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 | 


