Grid5000:Home: Difference between revisions

From Grid5000
Jump to navigation Jump to search
No edit summary
No edit summary
(3 intermediate revisions by 2 users not shown)
Line 4: Line 4:
|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 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 and IA.'''
'''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
* 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

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 2024-03-29 05:40): 1 current events, None planned (details)


Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2503 overall):

  • Michel Olvera, Emmanuel Vincent, Gilles Gasso. On the impact of normalization strategies in unsupervised adversarial domain adaptation for acoustic scene classification. ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore. 10.1109/ICASSP43922.2022.9747540. hal-03668251 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
  • Safa Alsaidi, Miguel Couceiro, Esteban Marquer, Sophie Quennelle, Anita Burgun, et al.. An analogy based framework for patient-stay identification in healthcare. ATA@ICCBR 2022 - Workshop Analogies: from Theory to Applications, Sep 2022, Nancy, France. hal-03763772 view on HAL pdf
  • Amélie Aussel, Radu Ranta, Olivier Aron, Sophie Colnat-Coulbois, Louise Tyvaert, et al.. Cell to network computational model of the epileptic human hippocampus suggests specific roles of network and channel dysfunctions in the ictal and interictal oscillations. Journal of Computational Neuroscience, 2022, 50 (4), pp.519-535. 10.1007/s10827-022-00829-5. hal-03721996 view on HAL pdf
  • Ajinkya Kulkarni, Vincent Colotte, Denis Jouvet. Analysis of expressivity transfer in non-autoregressive end-to-end multispeaker TTS systems. INTERSPEECH 2022, Sep 2022, Incheon, South Korea. hal-03832870 view on HAL pdf


Latest news

Failed to load RSS feed from https://www.grid5000.fr/mediawiki/index.php?title=News&action=feed&feed=atom: Error parsing XML for RSS


Read more news

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