图形硬件通用计算技术的应用研究

在通用计算的图形硬件加速研究中,综合了在OPENGL体系下的计算模型。通过实验,测试了该计算结构的性能并分析了提高计算性能的一些方法。在此基础上,介绍一种基于GPU的并行计算二维离散余弦变换方法。该方法可在GPU上通过一遍绘制,对一幅图像1至4个颜色通道,同时进行8×8大小像素块的离散余弦变换。实验表明在该实验硬件基础上,采用GPU加速的并行离散余弦变换,可比相同算法的CPU实现提高数百倍。

Application research on general purpose computation on GPU

In the research on general purpose computation accelerated by graphics hardware, a computation model based on OPENGL was synthesized,the performance of the computation structure was tested and several ways to enhance computing performance were analyzed.Then a method of parallel 2-d DCT on GPU was presented.This method computes DCT on 8×8 pixel blocks by one pass rendering.Up to 4 color channels of a picture can be simultaneously performed during the computation.Experiment results indicate that performance of hardware accelerated DCT is hundreds of times faster than that of CPU implementation in our hardware conditions.