Accelerating 3D Digital Differential Analyzer Ray Tracing Algorithm on the GPU Using CUDA

doi:10.1109/ICPPW.2015.44

	Accelerating 3D Digital Differential Analyzer Ray Tracing Algorithm on the GPU Using CUDA
	Li, Kuan-Ching 4; Li, Yan 1; Sun, Hongyu 1; Yuan, Jingchao 1; Wu, Ting 1; Tian, Yanshan 1,3; Li, Yanlin2 ; Zhou, Rui 1; IEEE
	2015
关键词	Ray Tracing 3DDDA CUDA Parallel Computing
DOI	10.1109/ICPPW.2015.44
页码	61-66
英文摘要	We present a novel optimized 3DDDA ray tracing algorithm on GPUs with CUDA architecture. The grid data is built on the host and then copied to the device. The whole traversing procedure is done on the GPU device. So it just needs the data transformation between the host and the device once. The results show that the CUDA implementation parallel code using different block size on GPU achieves 2.9x to 5.9x faster speed compared with the CPU implementation. And the performance is significantly influenced by the size of the CUDA block. 3DDDA algorithm on CUDA architecture can really get the performance accelerated with a reasonable block size, but it is difficult to play high-end GPU performance. The main reason is that 3DDDA algorithm for memory access is discontinuous, so it is difficult to play high-frequency performance of RAM DDR5.
会议录	2015 44TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING WORKSHOPS
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS记录号	WOS:000377378800009
内容类型	会议论文
源URL	[http://119.78.100.186/handle/113462/58439]
专题	中国科学院近代物理研究所
通讯作者	Zhou, Rui
作者单位	1.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, Inst Modern Phys, Lanzhou 730000, Gansu, Peoples R China 3.Ningxia Normal Univ, Manthemat & Comp Sci Dept, Guyuan, Peoples R China 4.Providence Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan
推荐引用方式 GB/T 7714	Li, Kuan-Ching,Li, Yan,Sun, Hongyu,et al. Accelerating 3D Digital Differential Analyzer Ray Tracing Algorithm on the GPU Using CUDA[C]. 见:.