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The Journal of Supercomputing
Erschienen in: The Journal of Supercomputing 1/2018

19.07.2017

Interactive 3D simulation for fluid–structure interactions using dual coupled GPUs

verfasst von: Bob Zigon, Luoding Zhu, Fengguang Song

Erschienen in: The Journal of Supercomputing | Ausgabe 1/2018

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Abstract

The scope of this work involves the integration of high-speed parallel computation with interactive, 3D visualization of the lattice-Boltzmann-based immersed boundary method for fluid–structure interaction. An NVIDIA Tesla K40c is used for the computations, while an NVIDIA Quadro K5000 is used for 3D vector field visualization. The simulation can be paused at any time step so that the vector field can be explored. The density and placement of streamlines and glyphs are adjustable by the user, while panning and zooming is controlled by the mouse. The simulation can then be resumed. Unlike most scientific applications in computational fluid dynamics where visualization is performed after the computations, our software allows for real-time visualizations of the flow fields while the computations take place. To the best of our knowledge, such a tool on GPUs for FSI does not exist. Our software can facilitate debugging, enable observation of detailed local fields of flow and deformation while computing, and expedite identification of ‘correct’ parameter combinations in parametric studies for new phenomenon. Therefore, our software is expected to shorten the ‘time to solution’ process and expedite the scientific discoveries via scientific computing.
Vorheriger Artikel Solving traveling salesman problem using parallel repetitive nearest neighbor algorithm on OTIS-Hypercube and OTIS-Mesh optoelectronic architectures
Nächster Artikel On the security of a new ultra-lightweight authentication protocol in IoT environment for RFID tags

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Fußnoten
1
Lenovo D30, 8 core E5-2609@2.4GHz, 32GB RAM, Windows 7/64.
 
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Metadaten
Titel
Interactive 3D simulation for fluid–structure interactions using dual coupled GPUs
verfasst von
Bob Zigon
Luoding Zhu
Fengguang Song
Publikationsdatum
19.07.2017
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 1/2018
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-017-2103-x

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