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 2139 overall):
- Loic Guegan, Anne-Cécile Orgerie. Estimating the end-to-end energy consumption of low-bandwidth IoT applications for WiFi devices. CloudCom 2019 - 11th IEEE International Conference on Cloud Computing Technology and Science, Dec 2019, Sydney, Australia. hal-02352637 view on HAL pdf
- Giuseppe Di Lena, Andrea Tomassilli, Damien Saucez, Frédéric Giroire, Thierry Turletti, et al.. Distributed Network Experiment Emulation. GEFI 19 - Global Experimentation for Future Internet - Workshop, Nov 2019, Coimbra, Portugal. hal-02359801 view on HAL pdf
- Nicolas Turpault, Romain Serizel, Ankit Parag Shah, Justin Salamon. Sound event detection in domestic environments with weakly labeled data and soundscape synthesis. Workshop on Detection and Classification of Acoustic Scenes and Events, Oct 2019, New York City, United States. hal-02160855v2 view on HAL pdf
- Vinicius Garcia Pinto. Performance Analysis Strategies for Task-based Applications on Hybrid Platforms. Performance cs.PF. Université Grenoble Alpes; Universidade Federal do Rio Grande do Sul (Brésil), 2018. English. NNT : 2018GREAM058. tel-02063804 view on HAL pdf
- Nathanaël Cheriere, Matthieu Dorier, Gabriel Antoniu. A Lower Bound for the Commission Times in Replication-Based Distributed Storage Systems. Research Report RR-9186, Inria Rennes - Bretagne Atlantique. 2018, pp.1-26. hal-01817638v2 view on HAL pdf
Latest news
Support for persistent memory (PMEM)
Grid'5000 now features, among the different technologies it provides, some nodes with persistent memory.
Please find an introduction and some documentation on how to experiment on the persistent memory technology in the PMEM page.
-- Grid'5000 Team 17:35, February 19th 2020 (CET)
New cluster "troll" available in Grenoble
We have the pleasure to announce that a new cluster called "troll" is available in Grenoble¹.
It features 4 Dell R640 nodes with 2 Intel® Xeon® Gold 5218, 16 cores/CPU, 384GB DDR4, 1.5 TB PMEM (Intel® Optane™ DC Persistent Memory)²³, 1.6 TB NVME SSD, 10Gbps Ethernet, and 100Gb Omni-Path.
Energy monitoring⁴ is available for this cluster, provided by the same devices used for the other clusters in Grenoble.
This cluster has been funded by the PERM@RAM project from Laboratoire d'Informatique de Grenoble (CNRS/INS2I grant).
¹: https://www.grid5000.fr/w/Grenoble:Hardware
³: https://docs.pmem.io/persistent-memory/
⁴: https://www.grid5000.fr/w/Energy_consumption_monitoring_tutorial
-- Grid'5000 Team 17:00, February 3rd 2020 (CET)
New cluster available in Nancy: grue (20 GPUs)
We have the pleasure to announce that the Grue cluster in Nancy¹ (production queue) is now available:
It features 5 Dell R7425 servers nodes with four Tesla T4², 128 GB DDR4, 1x480 GB SSD, 2 x AMD EPYC 7351, 16 cores/CPU
As this cluster features 4 GPU per node, we remind you that you can monitor GPU (and node) usage using the Ganglia tool (std environment only):
- follow https://intranet.grid5000.fr/ganglia/?r=2hr&cs=&ce=&m=load_one&s=by+name&c=Nancy&tab=m&vn=&hide-hf=false
- then choose a node (eg. grue-2)
If your experiments do not require all the GPU of a single node, it is possible to reserve GPU³ at the resource level (see https://grid5000.fr/w/News#Enabling_GPU_level_resource_reservation_in_OAR for some examples). You can also use the nvidia-smi and htop commands on your reserved nodes to get more information about your GPU/CPU usage.
This cluster has been funded by Ihe CPER LCHN project (Langues, Connaissances & Humanités Numériques, Contrat de plan État / Région Lorraine 2015-2020), and the LARSEN and MULTISPEECH teams at LORIA / Inria Nancy Grand Est.
As a reminder, since this cluster is part of the "production" queue, specific usage rules apply.
¹: https://www.grid5000.fr/w/Hardware
²: https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/tesla-t4/t4-tensor-core-d...
We are conducting a survey to help us better understand your needs and make Grid'5000 a better research infrastructure.
We thank you in advance for taking a few minutes to complete it (you can answer in French if you prefer).
The survey is available at:
https://sondages.inria.fr/index.php/672895
It will be open until December, 13rd.
-- Grid'5000 Team 15:00, November 26th 2019 (CET)
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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UniversitiesUniversité Grenoble Alpes, Grenoble INP |
Regional councilsAquitaine |
