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 2517 overall):
- Kelvin Han, Thiago Castro Ferreira, Claire Gardent. Generating Questions from Wikidata Triples. 13th Edition of its Language Resources and Evaluation Conference, Jun 2022, Marseille, France. hal-03909961 view on HAL pdf
- Gustavo Salazar-Gomez, David Sierra González, Manuel Alejandro Diaz-Zapata, Anshul Paigwar, Wenqian Liu, et al.. TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction. ICARCV 2022 - 17th International Conference on Control, Automation, Robotics and Vision, Dec 2022, Singapore, Singapore. pp.1-6. hal-03768008 view on HAL pdf
- Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec, Vlad Nitu, Rhicheek Patra, et al.. FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction. ACM Transactions on Intelligent Systems and Technology, 2022, 13 (5), pp.1-30. 10.1145/3527621. hal-03906055 view on HAL pdf
- Tulika Bose, Irina Illina, Dominique Fohr. Transferring Knowledge via Neighborhood-Aware Optimal Transport for Low-Resource Hate Speech Detection. Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP), Nov 2022, Online, Taiwan. hal-03846693 view on HAL pdf
- Sandipana Dowerah, Romain Serizel, Denis Jouvet, Mohammad Mohammadamini, Driss Matrouf. How to Leverage DNN-based speech enhancement for multi-channel speaker verification?. 4th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2022), Oct 2022, Corfu, Greece. hal-03619903v2 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 |