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Key features:
 
Key features:
* 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
+
* provides '''access to a large amount of resources''': 15000 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
 
* '''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 21:53, 19 January 2020

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 AI.

Key features:

  • provides access to a large amount of resources: 15000 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.

Grid'5000 is merging with FIT to build the SILECS Infrastructure for Large-scale Experimental Computer Science. Read an Introduction to SILECS (April 2018)


Recently published documents and presentations:

Older documents:


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 2020-07-09 13:34): No current events, None planned (details)


Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2054 overall):

  • Luke Bertot. Improving the simulation of IaaS Clouds. Data Structures and Algorithms cs.DS. Université de Strasbourg, 2019. English. NNT : 2019STRAD008. tel-02161866v2 view on HAL pdf
  • Alessio Pagliari, Fabrice Huet, Guillaume Urvoy-Keller. NAMB: A Quick and Flexible Stream Processing Application Prototype Generator. The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 2020, Melbourne, Australia. hal-02483008 view on HAL pdf
  • Rachid Guerraoui, Erwan Le Merrer, Rhicheek Patra, Jean-Ronan Vigouroux. Unified and Scalable Incremental Recommenders with Consumed Item Packs. EURO-PAR 2019 - European Conference on Parallel Processing, Aug 2019, Gottingen, Germany. pp.227-240, 10.1007/978-3-030-29400-7_17. hal-02153388 view on HAL pdf
  • Brij Mohan Lal Srivastava, Natalia Tomashenko, Xin Wang, Emmanuel Vincent, Junichi Yamagishi, et al.. Design Choices for X-vector Based Speaker Anonymization. 2020. hal-02610447 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, IEEE, 2019, pp.1-12. 10.1109/TSUSC.2019.2905900. hal-02083080 view on HAL pdf


Latest news

Rss.svgGrid'5000 General Conditions of Use now available

To clarify the legal frame and the application of law surrounding Grid'5000 usage, we added a "General Conditions of Use" document to the Usage Policy.

From now on, usage of Grid'5000 must be in accordance with those two documents:

-- Grid'5000 Team 17:00, June 30th 2020 (CEST)

Rss.svgNew monitoring service for Grid'5000 available for beta testing

We are happy to announce a new service to provide environmental and performance metrics monitoring for Grid'5000 experiments.

The service uses the Kwollect framework and currently makes following metrics available:

- Energy consumption from dedicated “wattmetre” devices (currently available for some clusters in Lyon, Grenoble, Nancy) - Metrics collected from nodes’ Board Management Controller (out-of-band management hardware, such as Dell iDRAC), such as ambient temperature, hardware component temperature, energy consumption from PSU, fan speed, etc. - Traffic collected from network devices - Energy consumption from PDU, when available

It is also planned to add more metrics in the future.

The service documentation is available at:

https://www.grid5000.fr/w/Monitoring_Using_Kwollect

The service is currently in beta. Many things may change in the future. Feel free to give us your feedback at support-staff@lists.grid5000.fr

-- Grid'5000 Team 16:00, June 30th 2020 (CEST)

Rss.svgGrid’5000 resources now available through the Fed4FIRE federation.

We have the pleasure to announce that Grid’5000 is now accessible through the Fed4FIRE European testbed federation. https://www.grid5000.fr/w/Fed4FIRE

Fed4FIRE is the largest federation worldwide of Next Generation Internet (NGI) testbeds, which provide open, accessible and reliable facilities supporting a wide variety of different research and innovation communities and initiatives in Europe.

The Grid’5000 Aggregate Manager will allow the provisioning of Grid’5000 nodes to members of the federation using the federation’s jFed-Experiment application, or tools designed to access GENI testbeds.

Please note that functions related to VLANs and inter-testbed stitching are still in development, and cannot yet be performed through the Aggregate Manager.

Grid’5000 users wanting to use the aggregate manager should link their Fed4FIRE account to their Grid’5000 one using the process described in the wiki.

-- Grid'5000 Team 11:30, June 29th 2020 (CEST)

Rss.svgA short documentation on installing Deep Learning frameworks under Grid'5000

We wrote a short documentation to explain how to install popular Deep Learning frameworks in Grid'5000. It is available at:

https://www.grid5000.fr/w/Deep_Learning_Frameworks

Note that the installation steps in the documentation are regularly executed under our testing infrastructure to ensure these tools work as expected at any time.

-- Grid'5000 Team 09:49, June 29th 2020 (CEST)


Read more news

Grid'5000 sites

Current funding

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

INRIA

Logo INRIA.gif

CNRS

CNRS-filaire-Quadri.png

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