Grid5000:Home: Difference between revisions
No edit summary |
No edit summary |
||
| Line 7: | Line 7: | ||
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 23:57, 11 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:
|
Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2925 overall):
- Mai Huong Do, Millian Poquet, Georges da Costa. FedE-ator : A framework for energy consumption analysis of federated learning in distributed systems. Compas’2025 : Parallélisme / Architecture/ Système, Jul 2025, Bordeaux, France. hal-05181877 view on HAL pdf
- Thierry Garcia. Algorithmes Parallèles Asynchrones : implémentation et simulation d’applications modélisées par des équations pseudo-linéaires.. Distributed, Parallel, and Cluster Computing cs.DC. Institut National Polytechnique de Toulouse, 2024. tel-04919001 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
- Théophile Dubuc. Détection d'anomalies de latence dans les systèmes distribués avec eBPF. Système d'exploitation cs.OS. Ecole normale supérieure de lyon - ENS LYON, 2024. Français. NNT : 2024ENSL0109. tel-05064342 view on HAL pdf
- Danilo Carastan-Santos, Georges da Costa, Millian Poquet, Patricia Stolf, Denis Trystram. Light-weight prediction for improving energy consumption in HPC platforms. Euro-Par 2024, Carretero, J., Shende, S., Garcia-Blas, J., Brandic, I., Olcoz, K., Schreiber, M., Aug 2024, Madrid, Spain. pp.152-165, 10.1007/978-3-031-69577-3_11. hal-04566184v2 view on HAL pdf
Latest news
Failed to load RSS feed from https://www.grid5000.fr/mediawiki/index.php?title=News&action=feed&feed=atom: Error parsing XML for RSS
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 |
