Accelerating 3D Digital Differential Analyzer Ray Tracing Algorithm on the GPU Using CUDA
文献类型:会议论文
作者 | Li, Kuan-Ching4; Li, Yan1; Sun, Hongyu1; Yuan, Jingchao1; Wu, Ting1; Tian, Yanshan1,3; Li, Yanlin2![]() |
出版日期 | 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
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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 |
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:. |
入库方式: OAI收割
来源:近代物理研究所
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