Difference between revisions of "Grid5000:Home"
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[[Image:renater5-g5k.jpg|thumbnail|250px|right|Grid'5000]] | [[Image:renater5-g5k.jpg|thumbnail|250px|right|Grid'5000]] | ||
| − | '''Grid'5000 is a large-scale and | + | '''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: | 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 23:57, 11 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 2143 overall):
- Maxime Gobert, Jan Gmys, Nouredine Melab, Daniel Tuyttens. Towards Adaptive Space Partitioning for Large-scale Parallel Bayesian Optimization. OLA'2020 - International Conference on Optimization and Learning, Feb 2020, Cadix, Spain. hal-02898960 view on HAL pdf
- Bilal Fakih, Didier El Baz, Igor Kotenko. GRIDHPC: A decentralized environment for high performance computing. Concurrency and Computation: Practice and Experience, Wiley, 2020, 32 (10), pp.e5320. 10.1002/cpe.5320. hal-02329690 view on HAL pdf
- Lucas Nussbaum. SILECS/Grid’5000: le volet data-center de SILECS : Présentation et exemples d’expériences. TILECS - Towards an Infrastructure for Large-Scale Experimental Computer Science, Jul 2019, Grenoble, France. hal-02401836 view on HAL pdf
- Chaopeng Guo. Energy-efficient resource provisioning for cloud databases. Networking and Internet Architecture cs.NI. Université Paul Sabatier - Toulouse III, 2019. English. NNT : 2019TOU30065. tel-02896451 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
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 |
