Grid5000:Home: Difference between revisions
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* provides '''access to a large amount of resources''': | * provides '''access to a large amount of resources''': 12000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: GPU, SSD, NVMe, 10G Ethernet, Infiniband, Omnipath | ||
* '''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 09:23, 18 September 2018
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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Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2515 overall):
- Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec, Vlad Nitu, Rhicheek Patra, et al.. FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction. ACM Transactions on Intelligent Systems and Technology, 2022, 13 (5), pp.1-30. 10.1145/3527621. hal-03906055 view on HAL pdf
- Amélie Aussel, Radu Ranta, Olivier Aron, Sophie Colnat-Coulbois, Louise Tyvaert, et al.. Cell to network computational model of the epileptic human hippocampus suggests specific roles of network and channel dysfunctions in the ictal and interictal oscillations. Journal of Computational Neuroscience, 2022, 50 (4), pp.519-535. 10.1007/s10827-022-00829-5. hal-03721996 view on HAL pdf
- Mateusz Gienieczko, Filip Murlak, Charles Paperman. Supporting Descendants in SIMD-Accelerated JSONPath. International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2024), 2024, San Diego (California), United States. pp.338-361, 10.4230/LIPIcs. hal-04398350 view on HAL pdf
- Chih-Kai Huang, Guillaume Pierre. AdapPF: Self-Adaptive Scrape Interval for Monitoring in Geo-Distributed Cluster Federations. ISCC 2023 - 28th IEEE Symposium on Computers and Communications, IEEE, Jul 2023, Tunis, Tunisia. pp.1-7, 10.1109/ISCC58397.2023.10218080. hal-04103309 view on HAL pdf
- Maxime Lanvin, Pierre-François Gimenez, Yufei Han, Frédéric Majorczyk, Ludovic Mé, et al.. Towards understanding alerts raised by unsupervised network intrusion detection systems. The 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID ), Oct 2023, Hong Kong China, France. pp.135-150, 10.1145/3607199.3607247. hal-04172470 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 |
CNRS |
UniversitiesUniversité Grenoble Alpes, Grenoble INP |
Regional councilsAquitaine |