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):
- Ariel Oleksiak, Laurent Lefèvre, Pedro Alonso, Georges da Costa, Vincenzo de Maio, et al.. Energy aware ultrascale systems. Ultrascale Computing Systems, Institution of Engineering and Technology, pp.127-188, 2019, 10.1049/PBPC024E_ch. hal-02163289 view on HAL pdf
- Subarna Chatterjee, Christine Morin. Experimental Study on the Performance and Resource Utilization of Data Streaming Frameworks. CCGrid 2018 - 18th IEEE/ACM Symposium on Cluster, Cloud and Grid Computing, May 2018, Washington, DC, United States. pp.143-152, 10.1109/CCGRID.2018.00029. hal-01823697 view on HAL pdf
- Yunbo Li, Anne-Cécile Orgerie, Ivan Rodero, Betsegaw Lemma Amersho, Manish Parashar, et al.. End-to-end Energy Models for Edge Cloud-based IoT Platforms: Application to Data Stream Analysis in IoT. Future Generation Computer Systems, Elsevier, 2018, 87, pp.667-678. 10.1016/j.future.2017.12.048. hal-01673501 view on HAL pdf
- Stéphane Caux, Paul Renaud-Goud, Gustavo Rostirolla, Patricia Stolf. IT Optimization for Datacenters Under Renewable Power Constraint. 24th European Conference on Parallel Processing (Euro-Par 2018), Aug 2018, Turin, Italy. pp.339-351. hal-02305348 view on HAL pdf
- Adrien Wion, Mathieu Bouet, Luigi Iannone, Vania Conan. Let there be Chaining: How to Augment your IGP to Chain your Services. 2019. hal-02165785 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 |
