Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Bruno Raffin"'
Publikováno v:
IEEE Access, Vol 6, Pp 69750-69762 (2018)
Apache Hadoop is a widely used MapReduce framework for storing and processing large amounts of data. However, it presents some performance issues that hinder its utilization in many practical use cases. Although existing alternatives like Spark or Ha
Externí odkaz:
https://doaj.org/article/ce9c57ded8b443f9b2029314fbb561e6
Autor:
Benjamin Petit, Jean-Denis Lesage, Clément Menier, Jérémie Allard, Jean-Sébastien Franco, Bruno Raffin, Edmond Boyer, François Faure
Publikováno v:
International Journal of Digital Multimedia Broadcasting, Vol 2010 (2010)
We present a multicamera real-time 3D modeling system that aims at enabling new immersive and interactive environments. This system, called Grimage, allows to retrieve in real-time a 3D mesh of the observed scene as well as the associated textures. T
Externí odkaz:
https://doaj.org/article/13abbccf20694796a1c806f3370ac2a9
Publikováno v:
In Situ Visualization for Computational Science
In Situ Visualization for Computational Science, Springer International Publishing, pp.113-136, 2022, Mathematics and Visualization, 978-3-030-81626-1. ⟨10.1007/978-3-030-81627-8_6⟩
Mathematics and Visualization ISBN: 9783030816261
In Situ Visualization for Computational Science, Springer International Publishing, pp.113-136, 2022, Mathematics and Visualization, 978-3-030-81626-1. ⟨10.1007/978-3-030-81627-8_6⟩
Mathematics and Visualization ISBN: 9783030816261
International audience; Multi-run numerical simulations using supercomputers are increasingly used by physicists and engineers for dealing with input data and model uncertainties. Most of the time, the input parameters of a simulation are modeled as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ea2a90a8741255ba2f7204bdef04238
https://inria.hal.science/hal-03950616
https://inria.hal.science/hal-03950616
Autor:
Stefanos-Aldo Papanicolopulos, Iván Cores Gonzalez, Seyedmorteza Mostajabodaveh, Jin Y. Ooi, John P. Morrissey, Thomas Gierlinger, Bruno Raffin, Prabhat Totoo, Kevin J. Hanley
Publikováno v:
Morrissey, J P, Totoo, P, Hanley, K, Papanicolopulos, S, Ooi, J, Cores Gonzalez, I, Raffin, B, Mostajabodaveh, S & Gierlinger, T 2020, ' Post-processing and visualisation of large-scale DEM simulation data with the open-source VELaSSCo platform ', SIMULATION, pp. 567-581 . https://doi.org/10.1177/0037549720906465
SIMULATION: Transactions of The Society for Modeling and Simulation International
SIMULATION: Transactions of The Society for Modeling and Simulation International, 2020, 96 (7), pp.567-581. ⟨10.1177/0037549720906465⟩
SIMULATION
SIMULATION, SAGE Publications, 2020, 96 (7), pp.567-581. ⟨10.1177/0037549720906465⟩
SIMULATION: Transactions of The Society for Modeling and Simulation International
SIMULATION: Transactions of The Society for Modeling and Simulation International, 2020, 96 (7), pp.567-581. ⟨10.1177/0037549720906465⟩
SIMULATION
SIMULATION, SAGE Publications, 2020, 96 (7), pp.567-581. ⟨10.1177/0037549720906465⟩
Regardless of its origin, in the near future the challenge will not be how to generate data, but rather how to manage big and highly distributed data to make it more easily handled and more accessible by users on their personal devices. VELaSSCo (Vis
Publikováno v:
2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC)
HiPC 2021-28th International Conference on High Performance Computing, Data, and Analytics
HiPC 2021-28th International Conference on High Performance Computing, Data, and Analytics, Dec 2021, virtual, India. pp.1-10
HiPC 2021-28th International Conference on High Performance Computing, Data, and Analytics, Dec 2021, virtual, India
HiPC 2021-28th International Conference on High Performance Computing, Data, and Analytics
HiPC 2021-28th International Conference on High Performance Computing, Data, and Analytics, Dec 2021, virtual, India. pp.1-10
HiPC 2021-28th International Conference on High Performance Computing, Data, and Analytics, Dec 2021, virtual, India
International audience; A widening performance gap is separating CPU performance and IO bandwidth on large scale systems. In some fields such as weather forecast and nuclear fusion, numerical models generate such amounts of data that classical post h
Autor:
Bruno Raffin, Alejandro Ribes
Publikováno v:
ISAV 2020-In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
ISAV 2020-In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Nov 2020, Atlanta, United States. pp.1-6
ISAV@SC
ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
ISAV 2020-In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Nov 2020, Atlanta, United States. pp.1-6
ISAV@SC
ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
International audience; In situ analysis and visualization have mainly been applied to the output of a single large-scale simulation. However, topics involving the execution of multiple simulations in supercomputers have only received minimal attenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e7533e4894957d4aeded260de1ad856
https://inria.hal.science/hal-02968789/document
https://inria.hal.science/hal-02968789/document
In situ and in transit computing is an effective way to place postprocessing and preprocessing tasks for large scale simulations on the high performance computing platform. The resulting proximity between the execution of preprocessing, simulation an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::816b6c6f4d40fae197219ebd6939dd51
https://doi.org/10.5194/egusphere-egu2020-21390
https://doi.org/10.5194/egusphere-egu2020-21390
Publikováno v:
IEEE Access, Vol 6, Pp 69750-69762 (2018)
IEEE Access
IEEE Access, IEEE, 2018, 6, pp.69750-69762. ⟨10.1109/ACCESS.2018.2880842⟩
RUC. Repositorio da Universidade da Coruña
instname
IEEE Access, 2018, 6, pp.69750-69762. ⟨10.1109/ACCESS.2018.2880842⟩
IEEE Access
IEEE Access, IEEE, 2018, 6, pp.69750-69762. ⟨10.1109/ACCESS.2018.2880842⟩
RUC. Repositorio da Universidade da Coruña
instname
IEEE Access, 2018, 6, pp.69750-69762. ⟨10.1109/ACCESS.2018.2880842⟩
International audience; Apache Hadoop is a widely used MapReduce framework for storing and processing large amounts of data. However, it presents some performance issues that hinder its utilization in many practical use cases. Although existing alter
Publikováno v:
Journal of Parallel and Distributed Computing. 156:131
Publikováno v:
International Journal of High Performance Computing Applications
International Journal of High Performance Computing Applications, SAGE Publications, In press, 33 (6), pp.1185-1200. ⟨10.1177/1094342019847263⟩
International Journal of High Performance Computing Applications, inPress, 33 (6), pp.1185-1200. ⟨10.1177/1094342019847263⟩
International Journal of High Performance Computing Applications, SAGE Publications, In press, 33 (6), pp.1185-1200. ⟨10.1177/1094342019847263⟩
International Journal of High Performance Computing Applications, inPress, 33 (6), pp.1185-1200. ⟨10.1177/1094342019847263⟩
With the goal of performing exascale computing, the importance of input/output (I/O) management becomes more and more critical to maintain system performance. While the computing capacities of machines are getting higher, the I/O capabilities of syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9687ba7a63a99a38162dc97309ee56ce
https://hal.inria.fr/hal-02091340/file/paper.pdf
https://hal.inria.fr/hal-02091340/file/paper.pdf