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.
- provides access to a large amount of resources: 12000 cores, 800 compute-nodes grouped in homogeneous clusters, and featuring various technologies: 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
- advanced monitoring and measurement features for traces collection of networking and power consumption, providing a deep understanding of experiments
- designed to support Open Science and reproducible research, with full traceability of infrastructure and software changes on the testbed
- a vibrant community of 500+ users supported by a solid technical team
Read more about our teams, our publications, and the usage policy of the testbed. Then get an account, and learn how to use the testbed with our Getting Started tutorial and the rest of our Users portal.
Recently published documents and presentations:
Grid'5000 is supported by a scientific interest group (GIS) hosted by Inria and including CNRS, RENATER and several Universities as well as other organizations. Inria has been supporting Grid'5000 through ADT ALADDIN-G5K (2007-2013), ADT LAPLACE (2014-2016), and IPL HEMERA (2010-2014).
Current status (at 2019-05-22 00:41)
: No current events, 1 planned (details)
Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2030 overall):
- Mauricio Alférez, Mathieu Acher, José Galindo, Benoit Baudry, David Benavides. Modeling Variability in the Video Domain: Language and Experience Report. Software Quality Journal, Springer Verlag, 2018, pp.1-41. 10.1007/s11219-017-9400-8. hal-01688247 view on HAL pdf
- Yunbo Li, Anne-Cécile Orgerie, Ivan Rodero, Betsegaw Lemma Amersho, Manish Parashar, et al.. End-to-end Energy Models for Edge Cloud-based IoT Platforms: Application to Data Stream Analysis in IoT. Future Generation Computer Systems, Elsevier, 2018, 87, pp.667-678. 10.1016/j.future.2017.12.048. hal-01673501 view on HAL pdf
- Badr Abdullah, Irina Illina, Dominique Fohr. Dynamic Extension of ASR Lexicon Using Wikipedia Data. IEEE Workshop on Spoken and Language Technology (SLT), Dec 2018, Athènes, Greece. hal-01874495 view on HAL pdf
- Alexandre Santana, Vinicius Freitas, Marcio Castro, Laércio Lima Pilla, Jean-François Méhaut. Reducing Global Schedulers' Complexity Through Runtime System Decoupling. WSCAD 2018 - XIX Simpósio de Sistemas Computacionais de Alto Desempenho, Oct 2018, São Paulo, Brazil. pp.1-12. hal-01873526 view on HAL pdf
- Ziteng Wang, Junfeng Li, Yonghong Yan, Emmanuel Vincent. Semi-supervised learning with deep neural networks for relative transfer function inverse regression. ICASSP 2018 – IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. hal-01797886 view on HAL pdf
Pierre Neyron awarded Médaille de Cristal du CNRS
Pierre Neyron, who has been a member of the Grid'5000 technical staff since the early years of the project, has been awarded the "Médaille de Cristal de CNRS".
Quoting http://www.cnrs.fr/fr/talents/cnrs?medal=42 :
La médaille de cristal distingue les ingénieurs, techniciens et agents administratifs qui, par leur créativité, leur maîtrise technique et leur sens de l'innovation, contribuent aux côtés des chercheurs à l'avancée des savoirs et à l'excellence de la
-- Grid'5000 Team 13:00, 16 April 2019 (CET)
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As from June 2008, Inria is the main contributor to Grid'5000 funding.
Université Grenoble Alpes, Grenoble INP
Université Rennes 1, Rennes
Institut National Polytechnique de Toulouse / INSA / FERIA / Université Paul Sabatier, Toulouse
Université Bordeaux 1, Bordeaux
Université Lille 1, Lille
École Normale Supérieure, Lyon
Provence Alpes Côte d'Azur
Hauts de France