搜索资源列表
CUDA_Match
- 基于NVIDIA CUDA GPU计算开发环境的双目视觉匹配程序，用于立体视觉的识别，同时可用于三维重建。主要算法在显卡上进行，需要NVIDIA的支持CUDA的显卡-NVIDIA CUDA GPU-based computing development environment to match the binocular vision procedures, for three-dimensional visual recognition, can be used for three-dimen
cuda3.0bianchegnzhinanzhongwen)
- CUDA3.0！最新编程指南！中文版本！CUDA开发者不可多得的经典著作-CUDA3.0! New Programming Guide! Chinese version! CUDA Developer rare classic! !
CPURayCasting
- 在CPU做的Ray-Casting代码，仿写CUDA的VolumeRender. -In the CPU to do Ray-Casting code, Imitative CUDA' s VolumeRender.
CUDA-programm
- 包含《GPU高性能运算之CUDA》书中的所有源代码。-Include "GPU computing performance of CUDA" the book of all source code.
cudaexam
- Cuda与MFC联合编程的实例,使用全局函数来调用cuda代码-A example of cuda and MFC
MFC_CUDA
- 如何在MFC中调用CUDA,环境： Windows Vista SP1,Microsoft Visual Studio 2005,CUDA 2.0 步骤：1.创建一个对话框的MFC程序 -How to call MFC CUDA, Environment: Windows Vista SP1, Microsoft Visual Studio 2005, CUDA 2.0: 1. Create a MFC dialog box program
juzhen
- cuda矩阵乘法的源代码。（注：需要cuda平台）-cuda matrix multiplication of the source code. (Note: the need for cuda platform)
CUDA-example
- 包括矩阵相乘，转置，快速傅里叶变换，多GPU编程等23个实例-Including matrix multiplication, transposition, fast Fourier transform, multi-GPU programming in 23 instances
advection-solver
- A CUDA code for advection equation solver
CUDA_VS_Wizard_W64.2.0.1
- cuda wizard，简单的cuda编程助手，高亮显示，自动补全等。-cuda wizard
asyncAPI
- CUDA开发计算，异步计算接口。可以在主机与现存之间异步执行。来自NVIDIA SDK-CUDA development of computing, asynchronous computing interface. Can be asynchronous between the host and the existing implementation. From the NVIDIA SDK
NVIDIA_CUBLAS_1.1
- Nividia提供的CUDA的BLAS库源码，可以在GPU上运行BLAS函数-Nividia provided CUDA source code of the BLAS library, you can run GPU function BLAS
cksc2.0
- nvidia CUDA 2.0 SDK 中文版本,翻译率大概为95％-nvidia CUDA 2.0 SDK Chinese version, the translation rate of about 95
matrixMul
- 采用GPU通用计算API（CUDA）实现矩阵相乘。-The use of general-purpose GPU computing API (CUDA) to achieve the matrix multiplication.
ComputeTime
- 基于NV的CUDA（计算统一构架）的一段程序，示例如何在显卡的GPU上进行并行平方和运算，代码思路清晰，易于理解。-NV based on the CUDA (calculated unified framework) period of procedures, examples of how the GPU graphics cards on the square and parallel computing, code clear and easy to understand.
fft2d_gpu
- using NVIDIA FFT CUDA Library to solve FFT problem
BFS_CUDA
- 用CUDA实现BFS算法源码。CUDA是NV公司基于GPU的统一计算架构，BFS复杂度由CPU上的O(V+E)降为O(diameter)，直径diameter即图中root到leaf的最长距离。-This is the algorithm of BFS(breadth first search) on CUDA, and its time complexity is down to O(diameter) which diameter means the longest distance bet
UIUC_CudaProgrammingGuide
- UIUC的工程院在全美堪称至尊级，这是UIUC推出的CUDA学习教程，非常系统地讲述其特点及应用。很好，很强大！-UIUC' s at the National Academy of Engineering called Extreme class, This is UIUC Study launched CUDA tutorial, very systematically about their characteristics and applications. Very good, v
Mars_v2
- GPU实现的MapReduce framework,对于学习并行编程和cuda平台的编程方面有着极好的参考价值，里面附带论文。用户要求有NViDIA显卡，并且安装cuda编程环境。-We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by
transpose
- cuda平台开发的矩阵变换并行操作（Matrix transpose），属于cuda sdk中的内容-Small Matrix transpose with Cuda (Example for a 16x16 matrix)