Grid5000:Home: Difference between revisions
No edit summary |
No edit summary |
||
| (2 intermediate revisions by the same user 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 | '''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 IA.''' | ||
Key features: | Key features: | ||
| Line 24: | Line 24: | ||
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 07:23, 4 October 2019
|
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 IA. 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 2925 overall):
- Sofya Dymchenko, Abhishek Purandare, Bruno Raffin. MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning. AI4S 2024 - 5th Workshop on artificial intelligence and machine learning for scientific applications, Nov 2024, Atlanta (Georgia), United States. pp.1-9. hal-04712480 view on HAL pdf
- François Portier, Lionel Truquet, Ikko Yamane. Nearest Neighbor Sampling for Covariate Shift Adaptation. 2024. hal-04645530 view on HAL pdf
- Cédric Prigent, Melvin Chelli, Alexandru Costan, Loïc Cudennec, René Schubotz, et al.. Efficient Resource-Constrained Federated Learning Clustering with Local Data Compression on the Edge-to-Cloud Continuum. HiPC 2024 - 31st IEEE International Conference on High Performance Computing, Data, and Analytics, Dec 2024, Bengaluru (Bangalore), India. pp.1-11, 10.1109/HiPC62374.2024.00033. hal-04779813 view on HAL pdf
- Bruno Lévy, Nicolas Ray, Quentin Merigot, Hugo Leclerc. Large-scale semi-discrete optimal transport with distributed Voronoi diagrams. Journal of Computational Physics, 2025, pp.114374. 10.1016/j.jcp.2025.114374. hal-05253830 view on HAL pdf
- Guillaume Rosinosky, Donatien Schmitz, Etienne Rivière. StreamBed: Capacity Planning for Stream Processing. DEBS 2024 - 18th ACM International Conference on Distributed and Event-based Systems, Jun 2024, Lyon, France. pp.90-102, 10.1145/3629104.3666034. hal-04708354 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
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 |