基于GPU的通用计算，利用显存的cache是提高算法效率的重要方面，该例子是在CUDA环境下如何读取纹理的程序。-based GPU generic terms, the use of video memory cache is to improve the efficiency of the algorithm, The example is the CUDA environment how to read texture procedures.

基于GPU的并行编程，采用纹理实现两个矩阵相乘。自己写的程序。-This is a parallel program based GPU,which achieved two matrix multiplication with texture.It is mine.

说明cuda的纹理存储器是如何使用，对程序优化起很大的作用。-The texture memory is cuda shows how to use, playing a large role program optimization.

使用CUDA C语言，利用CUDA纹理内存，实现图像拉伸的并行实现。-Using CUDA C language, using CUDA texture memory, image stretching parallel implementation.