Grid5000:Home: Difference between revisions
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|bgcolor="#f5fff5" style="border:1px solid #cccccc;padding:1em;padding-top:0.5em;"| | |bgcolor="#f5fff5" style="border:1px solid #cccccc;padding:1em;padding-top:0.5em;"| | ||
[[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 | ||
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<br> | <br> | ||
Read more about our [[Team|teams]], our [[Publications|publications]], and the [[Grid5000:UsagePolicy|usage policy]] of the testbed. Then [[Grid5000:Get_an_account|get an account]], and learn how to use the testbed with our [[Getting_Started|Getting Started tutorial]] and the rest of our [[:Category:Portal:User|Users portal]]. | Read more about our [[Team|teams]], our [[Publications|publications]], and the [[Grid5000:UsagePolicy|usage policy]] of the testbed. Then [[Grid5000:Get_an_account|get an account]], and learn how to use the testbed with our [[Getting_Started|Getting Started tutorial]] and the rest of our [[:Category:Portal:User|Users portal]]. | ||
<b>Grid'5000 is merging with [https://fit-equipex.fr FIT] to build the [http://www.silecs.net/ 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)</b> | |||
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* [[Media:Grid5000.pdf|Presentation of Grid'5000]] (April 2019) | * [[Media:Grid5000.pdf|Presentation of Grid'5000]] (April 2019) | ||
* [https://www.grid5000.fr/mediawiki/images/Grid5000_science-advisory-board_report_2018.pdf Report from the Grid'5000 Science Advisory Board (2018)] | * [https://www.grid5000.fr/mediawiki/images/Grid5000_science-advisory-board_report_2018.pdf Report from the Grid'5000 Science Advisory Board (2018)] | ||
Older documents: | 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/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)] | * [https://www.grid5000.fr/ScientificCommittee/SAB%20report%20final%20short.pdf Report from the Grid'5000 Science Advisory Board (2014)] | ||
Revision as of 00:57, 12 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 2780 overall):
- Emile Cadorel, Dimitri Saingre. A Protocol to Assess the Accuracy of Process-Level Power Models. Cluster 2024, IEEE, Sep 2024, Kobe, Japan. hal-04720926 view on HAL pdf
- Chih-Kai Huang, Guillaume Pierre. Aggregate Monitoring for Geo-Distributed Kubernetes Cluster Federations. IEEE Transactions on Cloud Computing, 2024, 12 (4), pp.1449-1462. 10.1109/TCC.2024.3482574. hal-04736577 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
- Abdoulaye Diop, Nahid Emad, Thierry Winter. A Parallel and Scalable Framework for Insider Threat Detection. 2023. hal-04197467 view on HAL pdf
- Hugo Pompougnac, Alban Dutilleul, Christophe Guillon, Nicolas Derumigny, Fabrice Rastello. Performance bottlenecks detection through microarchitectural sensitivity. Institut National de Recherche en Informatique et en Automatique (INRIA). 2024, pp.1-15. hal-04796942 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 |