Grid5000:Home: Difference between revisions
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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 | '''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 |
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:
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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
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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 |