Difference between revisions of "Grid5000:Home"
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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 | ||
Revision as of 23:57, 11 February 2020
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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. 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 2143 overall):
- Shu-Mei Tseng, Bogdan Nicolae, George Bosilca, Emmanuel Jeannot, Aparna Chandramowlishwaran, et al.. Towards Portable Online Prediction of Network Utilization using MPI-level Monitoring. EuroPar'19: 25th International European Conference on Parallel and Distributed Systems, Aug 2019, Goettingen, Germany. hal-02184204 view on HAL pdf
- Lina Marsso. On Model-based Testing of GALS Systems. Other cs.OH. Université Grenoble Alpes, 2019. English. NNT : 2019GREAM078. tel-02948083 view on HAL pdf
- Alexandru Costan. From Big Data to Fast Data: Efficient Stream Data Management. Distributed, Parallel, and Cluster Computing cs.DC. ENS Rennes, 2019. tel-02059437v2 view on HAL pdf
- Bastien Confais, Adrien Lebre, Benoît Parrein. A Fog storage software architecture for the Internet of Things. Advances in Edge Computing: Massive Parallel Processing and Applications, IOS Press, pp.61-105, 2020, Advances in Parallel Computing, 978-1-64368-062-0. 10.3233/APC200004. hal-02496105 view on HAL pdf
- Gabrielle de Micheli, Rémi Piau, Cécile Pierrot. A Tale of Three Signatures: practical attack of ECDSA with wNAF. AFRICACRYPT 2020, Jul 2020, Cairo, Egypt. pp.361-381, 10.1007/978-3-030-51938-4_18. hal-02393302v2 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
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CNRS
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UniversitiesUniversité Grenoble Alpes, Grenoble INP |
Regional councilsAquitaine |
