Grid5000:Home: Difference between revisions
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Key features: | Key features: | ||
* 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 | * 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 00:57, 12 February 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 2758 overall):
- Adrien Berthelot, Eddy Caron, Mathilde Jay, Laurent Lefèvre. Estimating the environmental impact of Generative-AI services using an LCA-based methodology. CIRP LCE 2024 - 31st Conference on Life Cycle Engineering, Jun 2024, Turin, Italy. pp.1-10. hal-04346102v2 view on HAL pdf
- Guillaume Helbecque, Jan Gmys, Nouredine Melab, Tiago Carneiro, Pascal Bouvry. Parallel Distributed Productivity-aware Tree-Search using Chapel. Concurrency and Computation: Practice and Experience, 2023, 35 (27), pp.e7874. 10.1002/cpe.7874. hal-04165491 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
- William Mocaër, Eric Anquetil, Richard Kulpa. Early gesture detection in untrimmed streams: A controlled CTC approach for reliable decision-making. Pattern Recognition, 2024, pp.110733. 10.1016/j.patcog.2024.110733. hal-04634678 view on HAL pdf
- Abdelghani Alidra, Hugo Bruneliere, Hélène Coullon, Thomas Ledoux, Charles Prud'Homme, et al.. SeMaFoR - Self-Management of Fog Resources with Collaborative Decentralized Controllers. SEAMS 2023: IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems, May 2023, Melbourne, Australia. pp.25-31, 10.1109/SEAMS59076.2023.00014. hal-04043471 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 |
