Grid5000:Home: Difference between revisions
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'''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.''' | '''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 and IA.''' | ||
Key features: | Key features: | ||
Revision as of 13:46, 19 September 2019
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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 and IA. 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 2934 overall):
- Jérémie Rodez, Patricia Stolf, Thierry Monteil. Placement of Distributed Machine Learning Services for AI- and Smart Grid-Enabled IoT Platforms. 2026. hal-05279358 view on HAL pdf
- Philippe Ledent, Radu Mateescu, Wendelin Serwe. Testing Resource Isolation for System-on-Chip Architectures. MARS 2024 - 6th Workshop on Models for Formal Analysis of Real Systems, Apr 2024, Luxembourg, Luxembourg. pp.1-40, 10.48550/arXiv.2403.18720. hal-04573384 view on HAL pdf
- Ismaël Tankeu, Geoffray Bonnin. Towards Characterising Induced Emotions: Exploiting Physiological Data and Investigating the Effect of Music Familiarity. MuRS 2024: 2nd Music Recommender Systems Workshop, Oct 2024, Bari, Italy. hal-04703972 view on HAL pdf
- Tristan Coignion, Clément Quinton, Romain Rouvoy. A Performance Study of LLM-Generated Code on Leetcode. EASE'24 - 28th International Conference on Evaluation and Assessment in Software Engineering, Jun 2024, Salerno, Italy. 10.1145/3661167.3661221. hal-04525620 view on HAL pdf
- Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel. A weighted-variance variational autoencoder model for speech enhancement. ICASSP 2024 - International Conference on Acoustics Speech and Signal Processing, IEEE, Apr 2024, Seoul (Korea), South Korea. pp.1-5, 10.1109/ICASSP48485.2024.10446294. hal-03833827v2 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 |