Grid5000:Home: Difference between revisions
No edit summary |
No edit summary |
||
(4 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 | '''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:
|
Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2503 overall):
- Sirine Sayadi, Venceslas Douillard, Nicolas Vince, Mario Südholt, Pierre-Antoine Gourraud. Distributing human leukocyte antigen HLA database in histocompatibility: a shift in HLA data governance. Exploration of Immunology, 2022, 2, pp.749-759. 10.37349/ei.2022.00080. hal-03747555 view on HAL pdf
- Clément Barthélemy, Francieli Zanon Boito, Emmanuel Jeannot, Guillaume Pallez, Luan Teylo. Implementation of an unbalanced I/O Bandwidth Management system in a Parallel File System. RR-9537, Inria. 2024. hal-04417412 view on HAL pdf
- Alexandre Denis, Emmanuel Jeannot, Philippe Swartvagher. Modeling Memory Contention between Communications and Computations in Distributed HPC Systems. IPDPS - 2022 - IEEE International Parallel and Distributed Processing Symposium Workshops, May 2022, Lyon / Virtual, France. pp.10, 10.1109/IPDPSW55747.2022.00086. hal-03682199 view on HAL pdf
- Yasmina Bouizem, Djawida Dib, Nikos Parlavantzas, Christine Morin. Integrating request replication into FaaS platforms: an experimental evaluation. Journal of Cloud Computing: Advances, Systems and Applications, 2023, 12 (1), pp.1-20. 10.1186/s13677-023-00457-z. hal-04159510 view on HAL pdf
- Jolan Philippe. Contribution to the analysis of the design-space of a distributed transformation engine. Software Engineering cs.SE. Ecole nationale supérieure Mines-Télécom Atlantique, 2022. English. NNT : 2022IMTA0339. tel-03998994 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 |