Grid5000:Home: Difference between revisions
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Key features: | Key features: | ||
* 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):
- Melvin Chelli, Cédric Prigent, René Schubotz, Alexandru Costan, Gabriel Antoniu, et al.. FedGuard: Selective Parameter Aggregation for Poisoning Attack Mitigation in Federated Learning. Cluster 2023 - IEEE International Conference on Cluster Computing, Oct 2023, Santa Fe, New Mexico, United States. pp.1-10. hal-04208787 view on HAL pdf
- Quentin Guilloteau, Olivier Richard, Éric Rutten. Étude des applications Bag-of-Tasks du méso-centre Gricad. 2022. hal-03726257 view on HAL pdf
- Shakeel Sheikh, Md Sahidullah, Fabrice Hirsch, Slim Ouni. Robust Stuttering Detection via Multi-task and Adversarial Learning. EUSIPCO 2022 - 30th European Signal Processing Conference, Aug 2022, Belgrade, Serbia. hal-03629785 view on HAL pdf
- Tom Hubrecht, Claude-Pierre Jeannerod, Paul Zimmermann, Laurence Rideau, Laurent Théry. Towards a correctly-rounded and fast power function in binary64 arithmetic. 2024. hal-04159652v2 view on HAL pdf
- Chuyuan Li, Chloé Braud, Maxime Amblard. Multi-Task Learning for Depression Detection in Dialogs. 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2022), Sep 2022, Edinbourg, United Kingdom. pp.1-8, 10.48550/arXiv.2208.10250. hal-03724305 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 |