Grid5000:Home: Difference between revisions
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Key features: | Key features: | ||
* provides '''access to a large amount of resources''': 1000 nodes, 8000 cores, grouped in homogeneous clusters, and featuring various technologies: 10G Ethernet, Infiniband, GPUs, Xeon PHI | * provides '''access to a large amount of resources''': 1000 nodes, 8000 cores, grouped in homogeneous clusters, and featuring various technologies: 10G Ethernet, Infiniband, Omnipath, GPUs, Xeon PHI | ||
* '''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 |
Revision as of 09:25, 17 September 2018
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:
Older documents:
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Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2777 overall):
- Quentin Acher, Claudia-Lavinia Ignat, Shadi Ibrahim. Quantifying the Performance of Conflict-free Replicated Data Types in InterPlanetary File System. DICG 2023 - 4th International Workshop on Distributed Infrastructure for Common Good, Dec 2023, Bologna, Italy. pp.1-6, 10.1145/3631310.3633488. hal-04337761 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
- 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
- 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
- Anas Mokhtari, Baptiste Jonglez, Thomas Ledoux. Towards Digital Sustainability: Involving Cloud Users as Key Players. IC2E 2024 - 12th IEEE International Conference on Cloud Engineering, Sep 2024, Paphos, Cyprus. pp.126-132, 10.1109/IC2E61754.2024.00021. hal-04633237 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 |