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Revision as of 11:13, 23 March 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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Five random publications that benefited from Grid'5000 (at least 2167 overall):
- Vikas Jaiman. Improving Performance Predictability in Cloud Data Stores. Machine Learning cs.LG. Université Grenoble Alpes, 2019. English. NNT : 2019GREAM016. tel-02301338 view on HAL pdf
- Manuel Alejandro Diaz-Zapata. Contribution to Panoptic Segmentation. Technical Report RT-0506, Inria; Universidad Autónoma de Occidente. 2019. hal-02300774v2 view on HAL pdf
- Paul Zimmermann. Accuracy of Mathematical Functions in Single, Double, Extended Double and Quadruple Precision. 2021. hal-03141101 view on HAL pdf
- Frédéric Lang, Radu Mateescu, Franco Mazzanti. Sharp Congruences Adequate with Temporal Logics Combining Weak and Strong Modalities. TACAS 2020 - Tools and Algorithms for the Construction and Analysis of Systems, Apr 2020, Dublin, Ireland. pp.57-76, 10.1007/978-3-030-45237-7_4. hal-02555692 view on HAL pdf
- Manuel Alejandro Diaz-Zapata. YOLO-Based Panoptic Segmentation. Computer Vision and Pattern Recognition cs.CV. 2020. hal-02884735v2 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 |