Grid5000:Home
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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:
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 2758 overall):
- Abdelghani Alidra, Hugo Bruneliere, Hélène Coullon, Thomas Ledoux, Charles Prud'Homme, et al.. SeMaFoR - Self-Management of Fog Resources with Collaborative Decentralized Controllers. SEAMS 2023: IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems, May 2023, Melbourne, Australia. pp.25-31, 10.1109/SEAMS59076.2023.00014. hal-04043471 view on HAL pdf
- Francisco Pinto, Veronica Carlsson, Mathias Meunier, Bert Van Bocxlaer, Hammouda Elbez, et al.. Morphometrics and machine learning discrimination of the middle Eocene radiolarian species Podocyrtis chalara, Podocyrtis goetheana and their morphological intermediates. Marine Micropaleontology, In press, pp.102293. 10.1016/j.marmicro.2023.102293. hal-04215322 view on HAL pdf
- Can Cui, Imran Ahamad Sheikh, Mostafa Sadeghi, Emmanuel Vincent. End-to-end Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis. Rencontre des Jeunes Chercheurs en Parole 2023 - 10E Edition, Nov 2023, Grenoble, France. hal-04321252 view on HAL pdf
- Thomas Firmin, Pierre Boulet, El-Ghazali Talbi. Asynchronous Multi-fidelity Hyperparameter Optimization Of Spiking Neural Networks. International Conference on Neuromorphic Systems (ICONS 2024), Jul 2024, Washington, United States. hal-04781629 view on HAL pdf
- Barbara Gendron, Gaël Guibon. Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation. 2024. hal-04532408 view on HAL pdf
Latest news
Cluster chirop is now in the default queue of Lille with energy monitoring.
Dear users,
We are pleased to announce that the Chirop[1] cluster of Lille is now available in the default queue.
This cluster consists of 5 HPE DL360 Gen10+ nodes with:
Energy monitoring[2] is also available for this cluster[3], provided by newly installed Wattmetres (similar to those already available at Lyon).
This cluster was funded by CPER CornelIA.
[1] https://www.grid5000.fr/w/Lille:Hardware#chirop
[2] https://www.grid5000.fr/w/Energy_consumption_monitoring_tutorial [3] https://www.grid5000.fr/w/Monitoring_Using_Kwollect#Metrics_available_in_Grid.275000
-- Grid'5000 Team 16:25, 05 May 2025 (CEST)
Change of default queue based on platform
Until now, Abaca (production) users had to specify `-q production` when reserving Abaca resources with OAR.
This is no longer necessary as your default queue is now automatically selected based on the platform your default group is associated to, as shown at https://api.grid5000.fr/explorer/selector/ and in the message displayed when connecting to a frontend.
For SLICES-FR users, there is no change since the correct queue was already selected by default.
Additionally, the "production" queue has been renamed to "abaca", although "production" will continue to work for the foreseeable future.
Please note one case where this change may affect your workflow:
When an Abaca user reserves a resource from SLICES-FR (a non-production resource), they must explicitly specify they want to use the SLICES-FR queue, which is called "default", by adding `-q default` the OAR command.
-- Abaca Grid'5000 Team 10:10, 31 March 2025 (CEST)
Cluster "musa" with Nvidia H100 GPUs is available in production queue
We are pleased to announce that a new cluster named "musa" is available in the production queue¹ of Abaca.
This cluster has been funded by Inria DSI as a shared computing resource.
It is accessible to all Abaca users. Users affiliated with Inria have access with the same level of priority, regardless of the research center to which they are attached.
This cluster is composed of six HPE Proliant DL385 Gen11 nodes² with 2 AMD EPYC 9254 24-Core Processor, 512 GiB of RAM, 2 x Nvidia H100 NVL (94 GiB) with NVLink, one 6 TB SSD NVME and 25 Gbps Ethernet Connexion
Please note that in order to share it efficiently, walltime is limited:
The cluster "musa" is located at Sophia, hosted in the datacenter of Inria Centre at Université Côte d’Azur.
¹: https://api.grid5000.fr/explorer/hardware/sophia/#musa
²: the nodes are named musa-1, musa-2,.., musa-6
-- Grid'5000 Team 13:30, 19 March 2025 (CEST)
Cluster "Hydra" is now in the testing queue in Lyon
We are pleased to announce that the hydra[1] cluster of Lyon is now available in the testing queue.
Hydra is a cluster composed of 4 NVIDIA Grace-Hopper servers[2].
Each node features:
Due to its bleeding edge hardware, usual Grid'5000 environments are not supported by default for this cluster.
(Hydra requires system environments featuring a Linux kernel >= 6.6). The default system on the hydra nodes is based on Debian11, but **does not provide functional GPU**. However, users may deploy the ubuntugh2404-arm64-big environment, which is similar to official Nvidia image provided for this machine and provides GPU support.
To submit a job on this cluster, the following command may be used:
oarsub -q testing -t exotic -p hydra
This cluster is funded by INRIA and by Laboratoire de l'Informatique du Parallélisme with ENS Lyon support.
[1] Hydra is the largest of the modern constellations according to Wikipedia: https://en.wikipedia.org/wiki/Hydra_(constellation)
[2] https://developer.nvidia.com/blog/nvidia-grace-hopper-superchip-architecture-in-depth/
-- Grid'5000 Team 16:10, 11 March 2025 (CEST)
Grid'5000 sites
Current funding
As from June 2008, Inria is the main contributor to Grid'5000 funding.
INRIA
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CNRS
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Regional councilsAquitaine |
