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基于CUDA的光线追踪优化算法研究与实现
Alternative TitleON CUDA-BASED OPTIMISED RAY TRACING ALGORITHM AND ITS REALISATION
岳田爽; 赵怀慈; 花海洋
Department光电信息技术研究室
Source Publication计算机应用与软件
ISSN1000-386X
2015
Volume32Issue:1Pages:161-162, 198
Indexed ByCSCD
CSCD IDCSCD:5333828
Contribution Rank1
Keyword光线追踪 Kd树 Cuda Gpu
Abstract在三维场景仿真过程中,为了实现真实的光影效果,通常采用光线追踪法对场景进行渲染。光线追踪算法的核心过程是光线与场景中的片元进行相交测试,而对于一个复杂的场景,该过程计算量非常大。为了改善光线追踪算法的计算速度问题,实现一种基于CUDA(Compute Unified Device Architecture)的光线追踪算法。该算法利用GPU的并行处理能力同时结合KD-Tree加速相交测试过程,最终提高仿真场景的渲染速度。通过实验表明,该算法的KD-Tree创建性能相比传统方法提升约20%,光线追踪性能提升约6倍。
Other AbstractIn three-dimensional scene simulation process,in order to achieve realistic lighting effects,ray tracing method is usually used to render the scene. The intersection test of the light and the render-element is the core process of ray tracing algorithm,and for a complex scene,the process is highly computational. We implement a ray tracing algorithm which is based on CUDA ( Compute Unified Device Architecture) . The algorithm makes use of GPU’s parallel processing capability,and combines with KD-Tree to accelerate the intersection testing process at the same time. It is demonstrated through experiment that our algorithm improves the KD-Tree creation performance about 20% compared with traditional method,and the ray tracing performance is also improved about 6 times.
Language中文
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15681
Collection光电信息技术研究室
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院大学
3.中国科学院光电信息处理重点实验室
4.辽宁省图像理解与视觉计算重点实验室
Recommended Citation
GB/T 7714
岳田爽,赵怀慈,花海洋. 基于CUDA的光线追踪优化算法研究与实现[J]. 计算机应用与软件,2015,32(1):161-162, 198.
APA 岳田爽,赵怀慈,&花海洋.(2015).基于CUDA的光线追踪优化算法研究与实现.计算机应用与软件,32(1),161-162, 198.
MLA 岳田爽,et al."基于CUDA的光线追踪优化算法研究与实现".计算机应用与软件 32.1(2015):161-162, 198.
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