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''': 12000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: GPU, SSD, NVMe, 10G Ethernet, Infiniband, Omnipath | ||
* '''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 | ||
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<br> | <br> | ||
Recently published documents: | Recently published documents and presentations: | ||
* [https://www.grid5000.fr/slides/2014-09-24-Cluster2014-KeynoteFD-v2.pdf Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014] | * [http://www.silecs.net/wp-content/uploads/2018/04/nussbaum-grid5000.pdf Presentation of Grid'5000] during the 1st Grid'5000-FIT school (April 2018) | ||
* [https://www.grid5000.fr/ScientificCommittee/SAB%20report%20final%20short.pdf Report from the Grid'5000 Science Advisory Board | * [https://www.grid5000.fr/mediawiki/images/Grid5000_science-advisory-board_report_2018.pdf Report from the Grid'5000 Science Advisory Board (2018)] | ||
* Grid'5000 is merging with FIT to build the SILECS Infrastructure for Large-scale Experimental Computer Science. Read [http://www.silecs.net/wp-content/uploads/2018/04/Desprez-SILECS.pdf an Introduction to SILECS] (April 2018) | |||
Older documents: | |||
* https://www.grid5000.fr/slides/2014-09-24-Cluster2014-KeynoteFD-v2.pdf Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014] | |||
* [https://www.grid5000.fr/ScientificCommittee/SAB%20report%20final%20short.pdf Report from the Grid'5000 Science Advisory Board (2014)] | |||
<br> | <br> | ||
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Champagne-Ardenne<br/> | Champagne-Ardenne<br/> | ||
Provence Alpes Côte d'Azur<br/> | Provence Alpes Côte d'Azur<br/> | ||
Hauts de France<br/> | |||
Lorraine<br/> | Lorraine<br/> | ||
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Revision as of 09:23, 18 September 2018
Grid'5000 is a large-scale and versatile 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. Key features:
Older documents:
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Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2517 overall):
- Houssam Elbouanani, Chadi Barakat, Thierry Turletti, Walid Dabbous. Demo paper : Fidelity-aware Distributed Network Emulation. IEEE Conference on Standards for Communications and Networking, Nov 2022, Thessaloniki, Greece. hal-03857802 view on HAL pdf
- Clément Barthélemy, Francieli Zanon Boito, Emmanuel Jeannot, Guillaume Pallez, Luan Teylo. Implementation of an unbalanced I/O Bandwidth Management system in a Parallel File System. RR-9537, Inria. 2024. hal-04417412 view on HAL pdf
- Prerak Srivastava, Antoine Deleforge, Emmanuel Vincent. Realistic sources, receivers and walls improve the generalisability of virtually-supervised blind acoustic parameter estimators. 17th International Workshop on Acoustic Signal Enhancement (IWAENC), Sep 2022, Bamberg, Germany. hal-03727423 view on HAL pdf
- Mathilde Jay, Vladimir Ostapenco, Laurent Lefèvre, Denis Trystram, Anne-Cécile Orgerie, et al.. An experimental comparison of software-based power meters: focus on CPU and GPU. CCGrid 2023 - 23rd IEEE/ACM international symposium on cluster, cloud and internet computing, May 2023, Bangalore, India. pp.1-13, 10.1109/CCGrid57682.2023.00020. hal-04030223v2 view on HAL pdf
- Ashwin Geet d'Sa, Irina Illina, Dominique Fohr, Awais Akbar. Exploration of Multi-Corpus Learning for Hate Speech Classification in Low Resource Scenarios. TSD 2022 - 25th International Conference on Text, Speech and Dialogue, Sep 2022, Brno, Czech Republic. hal-03712918 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 |