Grid5000:Home: Difference between revisions
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* 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
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):
- 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
- A Kishore Kumar, Shefali Waldekar, Md Sahidullah, Goutam Saha. Robust acoustic domain identification with its application to speaker diarization. International Journal of Speech Technology, 2022, 25 (December), pp.933-945. 10.1007/s10772-022-09990-9. hal-03719697 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, 10.1145/3555776.3577716. hal-04103309 view on HAL pdf
- Didier El Baz. On Parallel or Distributed Asynchronous Iterations with Unbounded Delays and Possible Out of Order Messages or Flexible Communication for Convex Optimization Problems and Machine Learning. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2022, Lyon, France. pp.807-813, 10.1109/IPDPSW55747.2022.00135. hal-03793141 view on HAL pdf
- Leo Cazenille, Nicolas Bredeche, José Halloy. Automated optimization of multilevel models of collective behaviour: application to mixed society of animals and robots. Bioinspiration and Biomimetics, 2022, 17 (5), pp.055002. 10.1088/1748-3190/ac7fd1. hal-03842222 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 |