Acceleration of shooting and bouncing ray method based on OptiX and normal vectors correction.

The present paper deals with a new efficient shooting and bouncing ray (SBR) method based on OptiX and normal vectors correction. The basic idea is to make full use of the computing resources of the RTX series graphics cards. For ray tracing, the algorithm uses OptiX to invoke the built-in RT Cores...

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Main Authors: Gaogui Xu, Chunzhu Dong, Tao Zhao, Hongcheng Yin, Xuan Chen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0253743
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spelling doaj-4367e090865f47d4a5c15c5d0d053b912021-07-10T04:30:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01166e025374310.1371/journal.pone.0253743Acceleration of shooting and bouncing ray method based on OptiX and normal vectors correction.Gaogui XuChunzhu DongTao ZhaoHongcheng YinXuan ChenThe present paper deals with a new efficient shooting and bouncing ray (SBR) method based on OptiX and normal vectors correction. The basic idea is to make full use of the computing resources of the RTX series graphics cards. For ray tracing, the algorithm uses OptiX to invoke the built-in RT Cores of hardware. Thus, a fast intersection test can be implemented. To reduce the error of ray tracing caused by the facetted surface characterizing the curved surface, the direction of the reflected ray is corrected by normal vectors correction. Additionally, multiple GPU cores are invoked to accelerate the calculation of far-field integration of millions of ray tubes, which can improve the efficiency of the algorithm while reducing the data transmission time of heterogeneous devices. Simulation results show that the ray path after normal vectors correction is consistent with the theoretical results, and the algorithm can predict the RCS of arbitrary facetted geometries, which is 60 times faster than the SBR method based on kd-tree.https://doi.org/10.1371/journal.pone.0253743
collection DOAJ
language English
format Article
sources DOAJ
author Gaogui Xu
Chunzhu Dong
Tao Zhao
Hongcheng Yin
Xuan Chen
spellingShingle Gaogui Xu
Chunzhu Dong
Tao Zhao
Hongcheng Yin
Xuan Chen
Acceleration of shooting and bouncing ray method based on OptiX and normal vectors correction.
PLoS ONE
author_facet Gaogui Xu
Chunzhu Dong
Tao Zhao
Hongcheng Yin
Xuan Chen
author_sort Gaogui Xu
title Acceleration of shooting and bouncing ray method based on OptiX and normal vectors correction.
title_short Acceleration of shooting and bouncing ray method based on OptiX and normal vectors correction.
title_full Acceleration of shooting and bouncing ray method based on OptiX and normal vectors correction.
title_fullStr Acceleration of shooting and bouncing ray method based on OptiX and normal vectors correction.
title_full_unstemmed Acceleration of shooting and bouncing ray method based on OptiX and normal vectors correction.
title_sort acceleration of shooting and bouncing ray method based on optix and normal vectors correction.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2021-01-01
description The present paper deals with a new efficient shooting and bouncing ray (SBR) method based on OptiX and normal vectors correction. The basic idea is to make full use of the computing resources of the RTX series graphics cards. For ray tracing, the algorithm uses OptiX to invoke the built-in RT Cores of hardware. Thus, a fast intersection test can be implemented. To reduce the error of ray tracing caused by the facetted surface characterizing the curved surface, the direction of the reflected ray is corrected by normal vectors correction. Additionally, multiple GPU cores are invoked to accelerate the calculation of far-field integration of millions of ray tubes, which can improve the efficiency of the algorithm while reducing the data transmission time of heterogeneous devices. Simulation results show that the ray path after normal vectors correction is consistent with the theoretical results, and the algorithm can predict the RCS of arbitrary facetted geometries, which is 60 times faster than the SBR method based on kd-tree.
url https://doi.org/10.1371/journal.pone.0253743
work_keys_str_mv AT gaoguixu accelerationofshootingandbouncingraymethodbasedonoptixandnormalvectorscorrection
AT chunzhudong accelerationofshootingandbouncingraymethodbasedonoptixandnormalvectorscorrection
AT taozhao accelerationofshootingandbouncingraymethodbasedonoptixandnormalvectorscorrection
AT hongchengyin accelerationofshootingandbouncingraymethodbasedonoptixandnormalvectorscorrection
AT xuanchen accelerationofshootingandbouncingraymethodbasedonoptixandnormalvectorscorrection
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