Grid5000:Home: Difference between revisions
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* provides '''access to a large amount of resources''': 15000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: GPU, SSD, NVMe, 10G and 25G Ethernet, Infiniband, Omni-Path | * 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 00:57, 12 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:
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Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2758 overall):
- 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
- Valérie Marissens Cueva, Laurent Bougrain. Contrastive Self-Supervised Learning for Motor Imagery: impact of the embedding size. 10th International BCI Meeting Balancing Innovation and Translation, BCI Society, Jun 2023, Bruxelles, Belgium. hal-04126477 view on HAL pdf
- Félix Gaschi, Xavier Fontaine, Parisa Rastin, Yannick Toussaint. Multilingual Clinical NER: Translation or Cross-lingual Transfer?. 5th Clinical Natural Language Processing Workshop, Jul 2023, Toronto, Canada. pp.289-311, 10.18653/v1/2023.clinicalnlp-1.34. hal-04193182 view on HAL pdf
- Charles Bouillaguet, Ambroise Fleury, Pierre-Alain Fouque, Paul Kirchner. We are on the same side. Alternative sieving strategies for the number field sieve. ASIACRYPT 2023 - 29th International Conference on the Theory and Application of Cryptology and Information Security, Dec 2023, Guangzhou, China. pp.138-166, 10.1007/978-981-99-8730-6_5. hal-04112671 view on HAL pdf
- Adrien Berthelot, Eddy Caron, Mathilde Jay, Laurent Lefèvre. Estimating the environmental impact of Generative-AI services using an LCA-based methodology. CIRP LCE 2024 - 31st Conference on Life Cycle Engineering, Jun 2024, Turin, Italy. pp.1-10. hal-04346102v2 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 |