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 2019-07-15 19:57)
: No current events, 3 planned (details)
Random pick of publications
Five random publications that benefited from Grid'5000 (at least 2033 overall):
- Abdulqawi Saif, Alexandre Merlin, Lucas Nussbaum, Ye-Qiong Song. MonEx: An Integrated Experiment Monitoring Framework Standing on Off-The-Shelf Components. P-RECS 2018: 1st International Workshop on Practical Reproducible Evaluation of Computer Systems, Jun 2018, Tempe, AZ, United States. 10.1145/3214239.3214240. hal-01793561v2 view on HAL pdf
- Bruno Donassolo, Ilhem Fajjari, Arnaud Legrand, Panayotis Mertikopoulos. Fog Based Framework for IoT Service Provisioning. CCNC 2019 - IEEE Consumer Communications & Networking Conference, Jan 2019, Las Vegas, United States. pp.1-6, 10.1109/CCNC.2019.8651835. hal-01859695 view on HAL pdf
- Issam Raïs, Laurent Lefèvre, Anne-Cécile Orgerie, Anne Benoit. Exploiting the Table of Energy and Power Leverages. ICA3PP 2018 - 18th International Conference on Algorithms and Architectures for Parallel Processing, Nov 2018, Guangzhou, China. pp.1-10. hal-01927829 view on HAL pdf
- Vikas Jaiman, Sonia Ben Mokhtar, Vivien Quéma, Lydia Chen, Etienne Rivìere. Héron: Taming Tail Latencies in Key-Value Stores under Heterogeneous Workloads. International Symposium on Reliable Distributed Systems (SRDS) 2018, Oct 2018, Salvador, Brazil. pp.191-200, 10.1109/SRDS.2018.00030. hal-01896686 view on HAL pdf
- Vincent Kherbache, Eric Madelaine, Fabien Hermenier. Scheduling Live Migration of Virtual Machines. IEEE transactions on cloud computing, IEEE, 2017, pp.1-14. 10.1109/TCC.2017.2754279. hal-01644729 view on HAL pdf
Enabling GPU level resource reservation in OAR
We have now put in service the GPU level resource reservation in OAR in Grid'5000. OAR now allows one to reserve one (or some) of the GPUs of a server hosting many GPUs, letting the other GPUs of the server available for other jobs.
Only the reserved GPUs will be available for computing in the job, as reported by the nvidia-smi command for instance.
- To reserve one GPU in a site, one can now run: $ oarsub -l gpu=1 ...
- To reserve 2 GPUs on a host which possibly has more than 2 GPUs, one can run: $ oarsub -l host=1/gpu=2 ...
- To reserve whole nodes (servers) with all GPUs, one can still run: $ oarsub -l host=3 -p "gpu_count > 0"
- To reserve specific GPU models, one can use the "gpu_model" property in a filter: $ oarsub -l gpu=1 -p "gpu_model = 'Tesla V100'"
- One can also filter on the cluster name after looking at the hardware pages for the description of the clusters: $ oarsub -l gpu=1 -p "cluster = 'chifflet'"
Finally, please notice that the drawgantts offer options to display GPUs.
-- Grid'5000 Team 17:00, 10 July 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