Grid5000:Home: Difference between revisions
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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: 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 21:53, 19 January 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 2777 overall):
- Ismaël Tankeu, Geoffray Bonnin. Towards Characterising Induced Emotions: Exploiting Physiological Data and Investigating the Effect of Music Familiarity. MuRS 2024: 2nd Music Recommender Systems Workshop, Oct 2024, Bari, Italy. hal-04703972 view on HAL pdf
- Sorina Camarasu-Pop. Computational Reproducibility. 3rd cycle. 12th SLEIGHT Science Event, Saint Etienne (FR), France. 2024. hal-04649287 view on HAL pdf
- Abdoulaye Diop, Nahid Emad, Thierry Winter. A Unite and Conquer Based Ensemble learning Method for User Behavior Modeling. 2023. hal-04194549 view on HAL pdf
- Louis Delebecque, Romain Serizel. BinauRec: A dataset to test the influence of the use of room impulse responses on binaural speech enhancement. EUSIPCO23, EURASIP, Sep 2023, Helsiinki, Finland. 10.23919/EUSIPCO58844.2023.10289772. hal-04193377 view on HAL pdf
- Lucas Leandro Nesi, Arnaud Legrand, Lucas Mello Schnorr. Asynchronous multi-phase task-based applications: Employing different nodes to design better distributions. Future Generation Computer Systems, 2023, 147, pp.119-135. 10.1016/j.future.2023.05.005. hal-04695275 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 |