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
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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):
- Romain Xu-Darme, Jenny Benois-Pineau, Romain Giot, Georges Quénot, Zakaria Chihani, et al.. On the stability, correctness and plausibility of visual explanation methods based on feature importance. CBMI'23 - the 20th International Conference on Content-based Multimedia Indexing, Sep 2023, Orléans, France. pp.119-125, 10.1145/3617233.3617257. cea-04256974 view on HAL pdf
- Nadia Skifa, Fadil Boodoo, Carole Delenne, Renaud Hostache, Morgan Abily. Impact of training dataset size and its hydrometeorological typology on LSTM performance for rainfall-runoff modeling: a case study of the Severn river. SimHydro conference 2023, Société Hydrotechnique de France (SHF); the Association Française de Mécanique (AFM); the Environmental & Water Resources Institute (EWRI); the International Association for Hydro-Environment Engineering and Research (IAHR), Nov 2023, Chatou, France. pp.107-128, 10.1007/978-981-97-4076-5. hal-04375806 view on HAL pdf
- Imran Ahamad Sheikh, Emmanuel Vincent, Irina Illina. Training RNN Language Models on Uncertain ASR Hypotheses in Limited Data Scenarios. Computer Speech and Language, 2024, 83, pp.101555. 10.1016/j.csl.2023.101555. hal-03327306v2 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
- 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
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 |
