摘要
基于NVIDIA公司推出的CUDA平台发展进行了深入的分析,对CUDA编程过程当中编程特点以及编程技术做出了详细的分析。在此基础之上,研究了基于CUDA架构下图像处理,最终使用CUDA C语言实现了一个图像快双线性插值处理程序,并通过实验数据验证了基于CUDA架构实现的图像处理中的图像双线性插值在计算性能上的提升。
Based on the NVIDIA launched CUDA platform development conducted an in-depth analysis, the CUDA programming programming features and programming techniques to make a detailed analysis. Based on the CUDA architecture under image processing, eventually using CUDA c handler implements a fast image interpolation, bilinear algorithm design, and was proved by experimental data based on the CUDA architecture image magnification in image processing system upgrade in performance.
出处
《铜仁学院学报》
2017年第6期58-61,共4页
Journal of Tongren University
关键词
并行运算
图形处理器
双线性插值
图像插值
parallel computing
graphic processing unit(GPU)
bilinear interpolation
interpolation
