Grid5000:Home: Difference between revisions
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Key features: | Key features: | ||
* provides '''access to a large amount of resources''': 1000 nodes, 8000 cores, grouped in homogeneous clusters, and featuring various technologies: 10G Ethernet, Infiniband, GPUs, Xeon PHI | * provides '''access to a large amount of resources''': 1000 nodes, 8000 cores, grouped in homogeneous clusters, and featuring various technologies: 10G Ethernet, Infiniband, GPUs, Xeon PHI | ||
* '''highly reconfigurable and controllable''': researchers can experiment with a fully customized software stack thanks to bare-metal deployment features, and can isolate their experiment | * '''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 level | ||
* '''advanced monitoring and measurement features for networking and power consumption''', to provide a deep understanding of experiments | * '''advanced monitoring and measurement features for networking and power consumption''', to provide 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 | ||
Revision as of 23:45, 22 January 2015
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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 2777 overall):
- Thomas Firmin, Pierre Boulet, El-Ghazali Talbi. Parallel Hyperparameter Optimization Of Spiking Neural Networks. 2023. hal-04464394 view on HAL pdf
- Abdoulaye Diop, Nahid Emad, Thierry Winter. A Unite and Conquer Based Ensemble learning Method for User Behavior Modeling. 2023. hal-04194549 view on HAL pdf
- Matthieu Simonin, Anne-Cécile Orgerie. Méthodologies de calculs de l'empreinte carbone sur une plateforme de calcul - L'exemple du site de Rennes de Grid'5000. JRES 2024 – Journée Réseaux de l'Enseignement Supérieur, Dec 2024, Rennes, France. pp.1-13. hal-04762718v2 view on HAL pdf
- Etienne Delort, Laura Riou, Anukriti Srivastava. Environmental Impact of Artificial Intelligence. INRIA; CEA Leti. 2023, pp.1-33. hal-04283245 view on HAL pdf
- Kelvin Han, Claire Gardent. Generating and Answering Simple and Complex Questions from Text and from Knowledge Graphs. The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023), ACL, Nov 2023, Bali, Indonesia, Indonesia. hal-04369868 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):
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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
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CNRS
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UniversitiesUniversity Joseph Fourier, Grenoble |
Regional councilsAquitaine |
