Grid5000:Home: Difference between revisions
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'''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.''' | '''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.''' | ||
Revision as of 14:59, 30 November 2022
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:
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Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2777 overall):
- Nadia Skifa, Fadil Boodoo, Carole Delenne, Renaud Hostache, Morgan Abily. Impact of training dataset size and its hydrometeorological typology on LSTM performance for rainfall-runoff modeling: a case study of the Severn river. SimHydro conference 2023, Société Hydrotechnique de France (SHF); the Association Française de Mécanique (AFM); the Environmental & Water Resources Institute (EWRI); the International Association for Hydro-Environment Engineering and Research (IAHR), Nov 2023, Chatou, France. pp.107-128, 10.1007/978-981-97-4076-5. hal-04375806 view on HAL pdf
- Céline Acary-Robert, Emmanuel Agullo, Ludovic Courtès, Marek Felšöci, Konrad Hinsen, et al.. Guix-HPC Activity Report 2022–2023. Inria Bordeaux - Sud Ouest. 2024, pp.1-32. hal-04500140 view on HAL pdf
- Josefine Umlauft, Christopher W. Johnson, Philippe Roux, Daniel Taylor Trugman, Albanne Lecointre, et al.. Mapping Glacier Basal Sliding Applying Machine Learning. Journal of Geophysical Research: Earth Surface, 2023, 128 (11), 10.1029/2023JF007280. insu-04604354 view on HAL pdf
- Sofya Dymchenko, Abhishek Purandare, Bruno Raffin. MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning. AI4S 2024 - 5th Workshop on artificial intelligence and machine learning for scientific applications, Nov 2024, Atlanta (Georgia), United States. pp.1-9. hal-04712480 view on HAL pdf
- Guillaume Helbecque, Jan Gmys, Nouredine Melab, Tiago Carneiro, Pascal Bouvry. Parallel Distributed Productivity-aware Tree-Search using Chapel. Concurrency and Computation: Practice and Experience, 2023, 35 (27), pp.e7874. 10.1002/cpe.7874. hal-04165491 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 |