中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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; Zhou, Rui1; IEEE
出版日期2015
关键词Ray Tracing 3DDDA CUDA Parallel Computing
DOI10.1109/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
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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