Difference between revisions of "Grid5000:Home"
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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: 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
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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 2139 overall):
- Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid. DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arrays. 2020. hal-02985867 view on HAL pdf
- Muhammad Jawad Khokhar. Modeling quality of experience of internet video streaming by controlled experimentation and machine learning. Networking and Internet Architecture cs.NI. COMUE Université Côte d'Azur (2015 - 2019), 2019. English. NNT : 2019AZUR4067. tel-02431446v2 view on HAL pdf
- Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, et al.. Domain-Adversarial Training and Trainable Parallel Front-end for the DCASE 2020 Task 4 Sound Event Detection Challenge. DCASE 2020 - 5th Workshop on Detection and Classification of Acoustic Scenes and Events, Nov 2020, Virtual, Japan. hal-02962911 view on HAL pdf
- Bastien Confais, Adrien Lebre, Benoît Parrein. A Fog storage software architecture for the Internet of Things. Advances in Edge Computing: Massive Parallel Processing and Applications, IOS Press, pp.61-105, 2020, Advances in Parallel Computing, 978-1-64368-062-0. 10.3233/APC200004. hal-02496105 view on HAL pdf
- Jean Luca Bez, Francieli Zanon Boito, Ramon Nou, Alberto Miranda, Toni Cortes, et al.. Detecting I/O Access Patterns of HPC Workloads at Runtime. SBAC-PAD 2019 - International Symposium on Computer Architecture and High Performance Computing, Oct 2019, Campo Grande, Brazil. hal-02276191 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
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CNRS
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UniversitiesUniversité Grenoble Alpes, Grenoble INP |
Regional councilsAquitaine |
