Difference between revisions of "Grid5000:Home"

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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: 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. 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: Presentation of Grid'5000 (April 2019) Report from the Grid'5000 Science Advisory Board (2018) Older documents: Slides from Frederic Desprez's keynote at IEEE CLUSTER 2014 Report from the Grid'5000 Science Advisory Board (2014) 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).

Random pick of publications

Five random publications that benefited from Grid'5000 (at least 2139 overall):

• Etienne Rigaud. Représentation vectorielle de paires de verbes pour la prédiction de relations lexicales. 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL, Jun 2020, Nancy, France. pp.179-192. hal-02786199v3 view on HAL pdf
• Ji Liu, Noel Moreno Lemus, Esther Pacitti, Fábio Porto, Patrick Valduriez. Parallel Computation of PDFs on Big Spatial Data Using Spark. Distributed and Parallel Databases, Springer, 2020, 38, pp.63-100. 10.1007/s10619-019-07260-3. lirmm-02045144 view on HAL pdf
• Fabrice Boudot, Pierrick Gaudry, Aurore Guillevic, Nadia Heninger, Emmanuel Thomé, et al.. Comparing the difficulty of factorization and discrete logarithm: a 240-digit experiment. Advances in Cryptology – CRYPTO 2020, Aug 2020, Santa Barbara CA, United States. pp.62-91, 10.1007/978-3-030-56880-1_3. hal-02863525v2 view on HAL pdf
• Zeina Houmani, Daniel Balouek-Thomert, Eddy Caron, Manish Parashar. Enhancing microservices architectures using data-driven service discovery and QoS guarantees. CCGrid 2020 - 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, Nov 2020, Melbourne, Australia. pp.1-10. hal-02523442 view on HAL pdf
• Alessio Pagliari, Fabrice Huet, Guillaume Urvoy-Keller. Towards a High-Level Description for Generating Stream Processing Benchmark Applications. The Third IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2019), Dec 2019, Los Angeles, United States. hal-02371215 view on HAL pdf

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Grid'5000 sites

Current funding

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