搜索资源列表
NVIDIA_GT200
- 介绍NVIDIA s GT200 GPU的硬件架构，以及CUDA编程模型与GPU硬件实现之间的联系，是理解CUDA运行机理的一篇好文章！-The architeture of NVIDIA s GT200 GPU was Introduced in this paper, And the relationship between CUDA and GPU hardware was indicated. We could get more details of CUDA process in th
CUDA_explaination_and_example
- 详细解释CUDA以及CUDA应用实例演示-Detailed explanation of CUDA and CUDA Applications Demo
Cudalecture
- 介绍了cuda的发展，开发，以及编程方法，是cuda初学者必读之lecture-Introduced the cuda development, development, and programming methods, the lecture is a must-read for beginners cuda
Laplacetest
- 利用CUDA实现了遥感数字影像处理基本算法中的拉普拉斯算子，并分别实现了采用Globalmemory、Sharedmemory，Texturememory进行数据传输，还同CPU中的串行代码进行了时间比较和误差分析。为了方便在服务器环境下测试运行，我们去掉了在Windows环境下对第三方库遥感影像库GDAL的依赖，而将遥感影像数据转成了二进制图像格式，对于输出影像也以同样的二进制格式存储。图像效果图通过专业遥感软件PCI或通用图像处理软件PhotoshopCS4打开。最后我们对计算结果进行了误差
NDVI
- 利用CUDA实现了遥感数字影像处理基本算法植被指数，并分别实现了采用Globalmemory、Sharedmemory，Texturememory进行数据传输，还同CPU中的串行代码进行了时间比较和误差分析。为了方便在服务器环境下测试运行，我们去掉了在Windows环境下对第三方库遥感影像库GDAL的依赖，而将遥感影像数据转成了二进制图像格式，对于输出影像也以同样的二进制格式存储。图像效果图通过专业遥感软件PCI或通用图像处理软件PhotoshopCS4打开。最后我们对计算结果进行了误差分析和加
CUDA_Getting_Started_3.0-beta1_Windows
- A nice guide to start with CUDA-C
particle_neighbor_search_(latest_version)
- 介绍了如何在CUDA上搭建KD-TRIE，以及如何在CUDA上对其进行搜索和预处理，使其能适应解决粒子邻居搜索问题。-Describes how to build CUDA on KD-TRIE, and how to search them on CUDA and pre-treatment, so that it can adapt to solve the particle neighbor search problem.
VectorAdd
- Cuda Code add the array of 1024 elements Vactor Addition
transpose
- cuda code for matrix transpose
0730067_CUDA
- This simple histogram equalization program implemented in C on CUDA platform-This is simple histogram equalization program implemented in C on CUDA platform
CUDAMatrixMultiplication
- 基于CUDA架构的矩阵乘法，得出GPU运算时钟周期。-CUDA architecture based on matrix multiplication, obtained GPU computing cycles.
fastgrid-4.2.1-141-src.tar
- 针对AutoDock中的autogrid部分，实现基于CUDA的的GPU并行加速-The autogrid for AutoDock part of the GPU to achieve parallel CUDA-based acceleration
CUDAseg
- 以为英国学生设计的关于水平集分割和显示的CUDA实现-a programe of segmentaion for cuda
cudaraytrace
- Raytracing functions for use in CUDA. Three types of objects are supported: planes, triangle and spheres. Functions can be called both from a kernel and the main programm. The shadow query for spheres is custom. Inside the archive is a group of commo
ECE757_Project_Report_Gregerson
- Implementing Fast MRI Gridding on GPU via cuda
GPUCUDA
- 《GPU高性能运算之CUDA》-张舒-源代码-" GPU for high-performance computing CUDA" - Zhang Shu- source code
CUDAMCML
- 基于CUDA GPU运算的 蒙特卡罗模拟-basic CUDA GPU MCML source file
CudaReferenceManual
- 设备管理 描述了支持CUDA运行时应用程序编程接口设备管理功能。-Device Management This section describes the device management functions of the CUDA runtime application programming interface.