Grid5000:Home: Difference between revisions

Revision as of 09:25, 17 September 2018

Grid'5000

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:

provides access to a large amount of resources: 1000 nodes, 8000 cores, grouped in homogeneous clusters, and featuring various technologies: 10G Ethernet, Infiniband, Omnipath, GPUs, Xeon PHI
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:

Presentation of Grid'5000 during the 1st Grid'5000-FIT school (April 2018)
Report from the Grid'5000 Science Advisory Board (2018)
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:

https://www.grid5000.fr/slides/2014-09-24-Cluster2014-KeynoteFD-v2.pdf Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014]
Report from the Grid'5000 Science Advisory Board (2014)

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 2024-04-20 12:36): No current events, 2 planned (details)

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2517 overall):

Daniel Rosendo, Marta Mattoso, Alexandru Costan, Renan Souza, Débora Pina, et al.. ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum. IEEE Cluster 2023 - IEEE International Conference on Cluster Computing, Oct 2023, Santa Fe, New Mexico, United States. pp.1-13. hal-04161546 view on HAL pdf
Govind KP, Guillaume Pierre, Romain Rouvoy. Studying the Energy Consumption of Stream Processing Engines in the Cloud. IC2E 2023 - 11th IEEE International Conference on Cloud Engineering, IEEE, Sep 2023, Boston (MA), United States. pp.1-9. hal-04164074 view on HAL pdf
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
Kadir Korkmaz, Joachim Bruneau-Queyreix, Sonia Ben Mokhtar, Laurent Réveillère. ALDER: Unlocking blockchain performance by multiplexing consensus protocols. 2022 IEEE 21st International Symposium on Network Computing and Applications (NCA), Dec 2022, Boston, United States. pp.9-18, 10.1109/NCA57778.2022.10013556. hal-03966159 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

Latest news

Failed to load RSS feed from https://www.grid5000.fr/mediawiki/index.php?title=News&action=feed&feed=atom: Error parsing XML for RSS

Grid'5000 sites

Current funding

As from June 2008, Inria is the main contributor to Grid'5000 funding.

INRIA

CNRS

Universities

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

Regional councils

Aquitaine
Bretagne
Champagne-Ardenne
Provence Alpes Côte d'Azur
Hauts de France
Lorraine

@@ Line 7: / Line 7: @@
 Key features:
-* provides '''access to a large amount of resources''': 1000 nodes, 8000 cores, grouped in homogeneous clusters, and featuring various technologies: 10G Ethernet, Infiniband, GPUs, Xeon PHI
+* provides '''access to a large amount of resources''': 1000 nodes, 8000 cores, grouped in homogeneous clusters, and featuring various technologies: 10G Ethernet, Infiniband, Omnipath, GPUs, Xeon PHI
 * '''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