Grid5000:Home: Difference between revisions
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[[Image:renater5-g5k.jpg|thumbnail|250px|right|Grid'5000]] | [[Image:renater5-g5k.jpg|thumbnail|250px|right|Grid'5000]] | ||
'''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 | '''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: | 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: 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
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 2517 overall):
- Emile Cadorel, Romain Rouvoy. Enabling Dynamic Virtual Frequency Scaling for Virtual Machines in the Cloud. Proceedings of the the IEEE Cluster Conference, Sep 2022, Heidelberg, Germany. hal-03741013 view on HAL pdf
- Danilo Carastan dos Santos, Thi Hoang Thi Pham. Understanding the Energy Consumption of HPC Scale Artificial Intelligence. CARLA 2022 - Latin America High Performance Computing Conference, Sep 2022, Porto Alegre, Brazil. pp.1-14. hal-03845090 view on HAL pdf
- Adrien Gougeon. Optimizing a dynamic and energy efficient network piloting the electrical grid. Networking and Internet Architecture cs.NI. Université de Rennes, 2023. English. NNT : 2023UREN0001. tel-04086397 view on HAL pdf
- Nikolaus Frohner, Jan Gmys, Nouredine Melab, Günther R. Raidl, El-Ghazali Talbi. Parallel Beam Search for Combinatorial Optimization. SoCS 2022 - 15th International Symposium on Combinatorial Search, Jul 2022, Vienne, Austria. 10.1609/socs.v15i1.21783. hal-03689638 view on HAL pdf
- Ali Tehranijamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari. Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization. IPDPS 2022 - 36th IEEE International Parallel & Distributed Processing Symposium, May 2022, Lyon / Virtual, France. hal-03603118 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 |