Grid5000:Home: Difference between revisions
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* '''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 | ||
* '''designed to support Open Science and reproducible research''', with full traceability of infrastructure and software changes on the testbed | * '''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 | * '''a vibrant community''' of 500+ users supported by a solid technical team | ||
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Revision as of 23:52, 22 January 2015
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. Key features:
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Latest publications from Grid'5000 users
Five random publications that benefited from Grid'5000 (at least 2921 overall):
- Berné Nortier, Mostafa Sadeghi, Romain Serizel. Unsupervised speech enhancement with diffusion-based generative models. International Conference on Acoustics Speech and Signal Processing (ICASSP), IEEE, Apr 2024, Seoul (Korea), South Korea. 10.48550/arXiv.2309.10450. hal-04210707v2 view on HAL pdf
- Ophélie Renaud, Karol Desnos, Erwan Raffin, Jean-François Nezan. Multicore and Network Topology Codesign for Pareto-Optimal Multinode Architecture. EUSIPCO, EURASIP, Aug 2024, Lyon, France. pp.701-705, 10.23919/EUSIPCO63174.2024.10715023. hal-04608249 view on HAL pdf
- Emmanuel Medernach, Gaël Vila, Axel Bonnet, Sorina Camarasu-Pop. ReproVIP Report #2.1.1 Application Deployment Strategies. CREATIS Université Lyon 1. 2024. hal-04551771 view on HAL pdf
- Louis Roussel, François Lemaire. Deep Learning for Integro-Differential Modelling. 2025. hal-05230281 view on HAL pdf
- Cherif Latreche, Nikos Parlavantzas, Hector A Duran-Limon. FoRLess: A Deep Reinforcement Learning-based approach for FaaS Placement in Fog. UCC 2024 - 17th IEEE/ACM International Conference on Utility and Cloud Computing, Dec 2024, Sharjah, United Arab Emirates. pp.1-9. hal-04791252 view on HAL pdf
Latest news
Grid'5000 tutorial days in Lille
We are happy to let you known that tutorials around Grid'5000 will be organized in Lille on November 20th, 2014, with a few seats available for people outside Lille. All information on the dedicated web page.
Grid'5000 spring school now finished
The Grid'5000 spring school took place between June 16th, 2014 and June 19th, 2014 in Lyon. Three awards were given for presentation or challenge entries (the challenge entries ended as a tie):
Best presentation award to Miguel Liroz Gistau, Reza Akbarinia and Patrick Valduriez |
Best challenge entry to Tomasz Buchert, Emmanuel Jeanvoine and Lucas Nussbaum |
Best challenge entry to Jonathan Pastor and Laurent Pouilloux |
Grid'5000 sites
Current funding
As from June 2008, INRIA is the main contributor to Grid'5000 funding.
INRIA |
CNRS |
UniversitiesUniversity Joseph Fourier, Grenoble |
Regional councilsAquitaine |