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GPU-accelerated visualisation of ADS granular flow target model

Authors:

Xun-Chao Zhang,

Kuan-Ching LiAuthors Info & Claims

International Journal of High Performance Computing and Networking, Volume 8, Issue 4

Pages 381 - 389

https://doi.org/10.1504/IJHPCN.2015.072824

Published: 01 November 2015 Publication History

Abstract

This paper presents a discrete element method to handle particle collision detection and responses in transport simulation the simulation of transport of protons and neutrons in granular flow target geometric model based on GPUs. Discrete element method was adopted in the realisation of large-scale particle visualisation. The method simulates and solves edge detection, position judging, motion direction, calculation of the next collision point using GPU acceleration during the process of transport, and demonstrates the complete interaction process through OpenGL. Results show that the model presented exploits the acceleration of GPUs and has gained remarkable functional improvement compared with traditional method using solely CPUs. In addition, we used the MCNPX to calculate this model with high-speed proton bombardment. The distribution of power energies verifies that the granular flow target model is reliable and feasible.

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Cited By

(2018)Pixel classified colourisation method based on neighbourhood similarity prioriInternational Journal of High Performance Computing and Networking10.5555/3282715.328272112:3(270-277)Online publication date: 19-Dec-2018
https://dl.acm.org/doi/10.5555/3282715.3282721
(2018)An improved adaptive selection search for block motion estimationInternational Journal of Computational Science and Engineering10.5555/3141013.314102515:1-2(106-111)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.5555/3141013.3141025
(2018)An improved adaptive selection search for block motion estimationInternational Journal of Computational Science and Engineering10.5555/3140984.314099615:1-2(106-111)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.5555/3140984.3140996

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Information & Contributors

Information

Published In

cover image International Journal of High Performance Computing and Networking

International Journal of High Performance Computing and Networking Volume 8, Issue 4

November 2015

89 pages

ISSN:1740-0562

EISSN:1740-0570

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Inderscience Publishers

Geneva 15, Switzerland

Publication History

Published: 01 November 2015

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Cited By

(2018)Pixel classified colourisation method based on neighbourhood similarity prioriInternational Journal of High Performance Computing and Networking10.5555/3282715.328272112:3(270-277)Online publication date: 19-Dec-2018
https://dl.acm.org/doi/10.5555/3282715.3282721
(2018)An improved adaptive selection search for block motion estimationInternational Journal of Computational Science and Engineering10.5555/3141013.314102515:1-2(106-111)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.5555/3141013.3141025
(2018)An improved adaptive selection search for block motion estimationInternational Journal of Computational Science and Engineering10.5555/3140984.314099615:1-2(106-111)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.5555/3140984.3140996

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