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):
- Marie Delavergne, Geo Johns Antony, Adrien Lebre. Cheops, a Service to Blow Away Cloud Applications to the Edge. ICSOC 2022 - 20th International Conference on Service-Oriented Computing, Nov 2022, Sevilla, Spain. pp.530-539, 10.1007/978-3-031-20984-0_37. hal-03926688 view on HAL pdf
- Marie Delavergne, Geo Johns Antony, Adrien Lebre. Cheops, a service to blow away Cloud applications to the Edge. Research Report RR-9486, Inria Rennes - Bretagne Atlantique. 2022, pp.1-16. hal-03770492v2 view on HAL pdf
- Safa Alsaidi, Miguel Couceiro, Sophie Quennelle, Anita Burgun, Nicolas Garcelon, et al.. Exploring Analogical Inference in Healthcare. IARML@IJCAI-ECAI’2022: Workshop on the Interactions between Analogical Reasoning and Machine Learning, at IJCAI-ECAI’2022, Jul 2022, Vienna, Austria. hal-03955354 view on HAL pdf
- Daniel Rosendo. Methodologies for Reproducible Analysis of Workflows on the Edge-to-Cloud Continuum. Distributed, Parallel, and Cluster Computing cs.DC. INSA RENNES, 2023. English. NNT : . tel-04167278 view on HAL pdf
- Wedan Emmanuel Gnibga, Anne Blavette, Anne-Cécile Orgerie. Renewable Energy in Data Centers: the Dilemma of Electrical Grid Dependency and Autonomy Costs. IEEE Transactions on Sustainable Computing, 2023, pp.1-13. 10.1109/TSUSC.2023.3307790. hal-04189173 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 |