Difference between revisions of "Grid5000:Home"
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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> | ||
<br> | <br> | ||
− | Recently published documents: | + | Recently published documents and presentations: |
+ | * [[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)] | ||
+ | |||
+ | 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 | + | * [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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<br> | <br> | ||
{{#status:0|0|0|http://bugzilla.grid5000.fr/status/upcoming.json}} | {{#status:0|0|0|http://bugzilla.grid5000.fr/status/upcoming.json}} | ||
+ | <br> | ||
+ | |||
+ | == Random pick of publications == | ||
+ | {{#publications:}} | ||
+ | |||
==Latest news== | ==Latest news== | ||
<rss max=4 item-max-length="2000">https://www.grid5000.fr/mediawiki/index.php?title=News&action=feed&feed=atom</rss> | <rss max=4 item-max-length="2000">https://www.grid5000.fr/mediawiki/index.php?title=News&action=feed&feed=atom</rss> | ||
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===Regional councils=== | ===Regional councils=== | ||
Aquitaine<br/> | Aquitaine<br/> | ||
+ | Auvergne-Rhône-Alpes<br/> | ||
Bretagne<br/> | Bretagne<br/> | ||
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/> | ||
|} | |} |
Revision as of 23:57, 11 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 2143 overall):
- Dimitri Saingre, Thomas Ledoux, Jean-Marc Menaud. BCTMark: a framework for benchmarking blockchain technologies. AICCSA 2020 - 17th IEEE/ACS International Conference on Computer Systems and Applications, Nov 2020, Antalya, Turkey. pp.1-8, 10.1109/AICCSA50499.2020.9316536. hal-02923038 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
- Guillaume Briffoteaux, Maxime Gobert, Romain Ragonnet, Jan Gmys, Mohand Mezmaz, et al.. Parallel Surrogate-assisted Optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO. Swarm and Evolutionary Computation, Elsevier, 2020, pp.100717. 10.1016/j.swevo.2020.100717. hal-02767541 view on HAL pdf
- Alexandru Costan. From Big Data to Fast Data: Efficient Stream Data Management. Distributed, Parallel, and Cluster Computing cs.DC. ENS Rennes, 2019. tel-02059437v2 view on HAL pdf
- Nouredine Melab, Jan Gmys, Mohand Mezmaz, Daniel Tuyttens. Many-core Branch-and-Bound for GPU accelerators and MIC coprocessors. T. Bartz-Beielstein; B. Filipic; P. Korosec; E-G. Talbi. High-Performance Simulation-Based Optimization, 833, Springer, pp.16, 2019, Studies in Computational Intelligence, ISBN 978-3-030-18763-7. hal-01924766 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 |