Difference between revisions of "Grid5000:Home"

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|bgcolor="#f5fff5" style="border:1px solid #cccccc;padding:1em;padding-top:0.5em;"|
 
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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 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.'''
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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:
 
Key features:
* 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 and 25G Ethernet, Infiniband, Omni-Path
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* 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]].
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<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>
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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)]
* 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) or visit the [http://www.silecs.net/ SILECS website].
 
  
 
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
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* [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 23:57, 11 February 2020

Grid'5000

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:

  • 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
  • advanced monitoring and measurement features for traces collection of networking and power consumption, providing a deep understanding of experiments
  • designed to support Open Science and reproducible research, with full traceability of infrastructure and software changes on the testbed
  • a vibrant community of 500+ users supported by a solid technical team


Read more about our teams, our publications, and the usage policy of the testbed. Then get an account, and learn how to use the testbed with our Getting Started tutorial and the rest of our Users portal.

Grid'5000 is merging with FIT to build the SILECS Infrastructure for Large-scale Experimental Computer Science. Read an Introduction to SILECS (April 2018)


Recently published documents and presentations:

Older documents:


Grid'5000 is supported by a scientific interest group (GIS) hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations. Inria has been supporting Grid'5000 through ADT ALADDIN-G5K (2007-2013), ADT LAPLACE (2014-2016), and IPL HEMERA (2010-2014).


Current status (at 2021-02-26 08:47): 1 current events, None planned (details)


Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2143 overall):

  • Sunit Sivasankaran, Emmanuel Vincent, Dominique Fohr. SLOGD: Speaker Location Guided Deflation Approach to Speech Separation. ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. hal-02355613v2 view on HAL pdf
  • Sunit Sivasankaran, Emmanuel Vincent, Dominique Fohr. Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition. 28th European Signal Processing Conference, Jan 2021, Amsterdam, Netherlands. hal-02355669v3 view on HAL pdf
  • Daniel Rosendo, Pedro Silva, Matthieu Simonin, Alexandru Costan, Gabriel Antoniu. E2Clab: Exploring the Computing Continuum through Repeatable, Replicable and Reproducible Edge-to-Cloud Experiments. Cluster 2020 - IEEE International Conference on Cluster Computing, Sep 2020, Kobe, Japan. pp.1-11, 10.1109/CLUSTER49012.2020.00028. hal-02916032 view on HAL pdf
  • Franz Heinrich. Modeling, Prediction and Optimization of Energy Consumption of MPI Applications using SimGrid. Modeling and Simulation. Université Grenoble Alpes, 2019. English. NNT : 2019GREAM018. tel-02269894 view on HAL pdf
  • Guillaume Fieni, Romain Rouvoy, Lionel Seinturier. SmartWatts: Self-Calibrating Software-Defined Power Meter for Containers. CCGRID 2020 - 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 2020, Melbourne, Australia. 10.1109/CCGrid49817.2020.00-45. hal-02470128 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

Logo INRIA.gif

CNRS

CNRS-filaire-Quadri.png

Universities

Université Grenoble Alpes, Grenoble INP
Université Rennes 1, Rennes
Institut National Polytechnique de Toulouse / INSA / FERIA / Université Paul Sabatier, Toulouse
Université Bordeaux 1, Bordeaux
Université Lille 1, Lille
École Normale Supérieure, Lyon

Regional councils

Aquitaine
Auvergne-Rhône-Alpes
Bretagne
Champagne-Ardenne
Provence Alpes Côte d'Azur
Hauts de France
Lorraine