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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.
Date : 2026-01-11 Size : 1.71mb User : 白洪涛

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.
Date : 2026-01-11 Size : 1kb User : Tandy

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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.
Date : 2026-01-11 Size : 139kb User : 彭明明

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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.
Date : 2026-01-11 Size : 217kb User : 郑平
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