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 23:57, 11 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 2503 overall):
- Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro. Transferring Learned Models of Morphological Analogy. ATA@ICCBR2022 - Analogies: from Theory to Applications (ATA@ICCBR2022), Sep 2022, Nancy, France. hal-03783959 view on HAL pdf
- Ehsan Ahvar, Anne-Cécile Orgerie, Adrien Lebre. Estimating Energy Consumption of Cloud, Fog and Edge Computing Infrastructures. IEEE Transactions on Sustainable Computing, 2022, 7 (2), pp.277-288. 10.1109/TSUSC.2019.2905900. hal-02083080 view on HAL pdf
- Maxime Gonthier, Loris Marchal, Samuel Thibault. Memory-Aware Scheduling of Tasks Sharing Data on Multiple GPUs with Dynamic Runtime Systems. IPDPS 2022 - 36th IEEE International Parallel & Distributed Processing Symposium, May 2022, Lyon, France. pp.1-11, 10.1109/IPDPS53621.2022.00073. hal-03552243 view on HAL pdf
- Alexandre Denis, Emmanuel Jeannot, Philippe Swartvagher. Modeling Memory Contention between Communications and Computations in Distributed HPC Systems. IPDPS - 2022 - IEEE International Parallel and Distributed Processing Symposium Workshops, May 2022, Lyon / Virtual, France. pp.10, 10.1109/IPDPSW55747.2022.00086. hal-03682199 view on HAL pdf
- Mehmet Ali Tugtekin Turan, Dietrich Klakow, Emmanuel Vincent, Denis Jouvet. Adapting Language Models When Training on Privacy-Transformed Data. LREC 2022 - 13th Language Resources and Evaluation Conference, Jun 2022, Marseille, France. hal-03189354v2 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 |