Grid5000:Home: Difference between revisions
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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: 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 21:53, 19 January 2020
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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:
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Random pick of publications
Five random publications that benefited from Grid'5000 (at least 3000 overall):
- Rahma Hellali, Zaineb Chelly Dagdia, Karine Zeitouni. A Multi-Objective Multi-Agent Interactive Deep Reinforcement Learning Approach for Feature Selection. International conference on neural information processing, Dec 2024, Auckland (Nouvelle Zelande), New Zealand. pp.15. hal-04723314 view on HAL pdf
- Guillaume Helbecque, Ezhilmathi Krishnasamy, Tiago Carneiro, Nouredine Melab, Pascal Bouvry. A Chapel-Based Multi-GPU Branch-and-Bound Algorithm. 22nd International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms, Aug 2024, Madrid, Spain. pp.463-474, 10.1007/978-3-031-90200-0_37. hal-04709106 view on HAL pdf
- Sewade Ogun, Abraham T. Owodunni, Tobi Olatunji, Eniola Alese, Babatunde Oladimeji, et al.. 1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis. Interspeech 2024, Sep 2024, Kos Island, Greece. hal-04663033 view on HAL pdf
- William Soto Martinez, Yannick Parmentier, Claire Gardent. Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL). 17th International Natural Language Generation Conference, Sep 2024, Tokyo, Japan. pp.70-81, 10.18653/v1/2024.inlg-main.7. hal-04681150 view on HAL pdf
- Baptiste Jonglez, Matthieu Simonin, Jolan Philippe, Sidi Mohammed Kaddour. Multi-provider capabilities in EnOSlib: driving distributed system experiments on the edge-to-cloud continuum. DAIS 2025: 25th International Conference on Distributed Applications and Interoperable Systems, Jun 2025, Lille, France. pp.25-42, 10.1007/978-3-031-95728-4_2. hal-05052776 view on HAL pdf
Latest news
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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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UniversitiesUniversité Grenoble Alpes, Grenoble INP |
Regional councilsAquitaine |
