Windows下安装CUDA8.0在Win10下安装CUDA8.0，并使⽤VS2013测试；机器配置：Windows 10VS 2013CUDA8.0CUDA 8.0：CUDA其他版本：1. 安装CUDA 8.0双击安装下载的.exe⽂件，然后选择解压路径，如下图，解压到哪⾥⽆所谓，安装成功会⾃动删除；解压完成后，得到如下图：精简：安装所有CUDA模块，并覆盖掉当前的NVIDIA驱动程序；（说实话，容易出问题）⾃定义：选择⾃⼰想要安装的模块，此处选择这⾥；选择⾃定义后，出现下图所⽰：下⾯⼏个模块准确具体有什么⽤，不能100%确定，但能⼤概才出来：CUDA：这个是必须的，下⾯有CUDA Runntime、Samples⼀些东西；NVIDIA GeForce Experience：这个好像是为了更好的游戏体验，之前安装显卡驱动程序时也提⽰是否安装，果断拒绝了；Other components：这⾥的PhysX好像也是为了游戏体验来的；Driver components：这个就要慎重了，意思就是重新安装显卡驱动程序；如果之前已经成功安装驱动程序，这⾥就不⽤选了；如果之前没安装驱动程序，建议还是去官⽹上单独下载驱动程序进⾏安装吧；选择好需要安装的模块，就要选择安装路径了，我的选择如下图：在如图所⽰位置建⽴相应⽂件夹，然后再指定安装路径；安装成功后；Ctrl+R，打开cmd：nvcc -V输出版本信息，则表明安装成功；配置环境变量将F:\CUDA\NVIDIA GPU Computing Tookit\CUDA\v8.0\lib\x64添加的系统变量的path中；2. 安装CuDNN下载对应CUDA 8.0版本的CuDNN：（如果安装的是其他版本的CUDA，注意CuDNN的版本）下载完成后，解压得到⼀个名为cuda的⽂件夹；将该⽂件夹下的⽂件复制到上⼀步安装的CUDA中；注意对应的⽂件夹；./cuda/bin/**.dll 复制到 ./NVIDIA GPU Computing Tookit/CUDA/v8.0/bin/./cuda/include/**.dll 复制到 ./NVIDIA GPU Computing Tookit/CUDA/v8.0/include/./cuda/lib/x64/**.dll 复制到 ./NVIDIA GPU Computing Tookit/CUDA/v8.0/lib/x64/安装完成；3. 测试1使⽤VS2013打开./cuda/v8.0/Samples_vs2013.sln；加载完成后，执⾏本地Windows编译，最后输出成功，见下图；4. 测试2在VS2013上配置CUDA；4.1 新建项⽬并进⾏配置1. 打开VS2013，新建空⽩项⽬，设置项⽬名称、位置信息，如下图；2. 在源⽂件添加—>新建项—>NVIDIA CUDA 8.0—>CUDA C/C++ File，命名为hello.cu，如下图；hello.cu右键—>属性—>配置属性—>常规—>项类型，配置如下图；3. 在项⽬上右键—>⽣成依赖项—>⽣成⾃定义—>选择CUDA 8.0，如下图；4. 在项⽬上右键—>属性—>常规—>配置管理器—>活动解决⽅案平台（新建）—>键⼊或选择新平台（选择x64），如下图；5. 项⽬右键—>属性—>VC++⽬录—>包含⽬录，如下图，添加；F:\CUDA\NVIDIA GPU Computing Tookit\CUDA\v8.0\include6. 项⽬右键—>属性—>VC++⽬录—>库⽬录，如下图，添加；F:\CUDA\NVIDIA GPU Computing Tookit\CUDA\v8.0\lib\x647. 项⽬右键—>属性—>链接器—>常规，如下图，添加；$(CUDA_PATH_V8_0)\lib\$(Platform)8. 项⽬右键—>属性—>链接器—>输⼊—>附加依赖项，如下图，添加；注意：不同版本的CUDA，下⾯的lib是不同的；当然，⼀个项⽬也不⼀定需要所有的lib；具体有哪些lib，位于：F:\CUDA_Dev_Doc_Sam\v8.0\lib\x64；cublas.libcublas_device.libcuda.libcudadevrt.libcudart.libcudart_static.libcudnn.libcufft.libcufftw.libcurand.libcusolver.libcusparse.libnppc.libnppi.libnppial.libnppicc.libnppicom.libnppidei.libnppif.libnppig.libnppim.libnppist.libnppisu.libnppitc.libnpps.libnvblas.libnvcuvid.libnvgraph.libnvml.libnvrtc.libOpenCL.lib4.2 编译在上⾯建的hello.cu⽂件中添加下⾯代码：// CUDA runtime 库 + CUBLAS 库#include <cuda_runtime.h>#include <cublas_v2.h>#include <device_launch_parameters.h>#include <time.h>#include <iostream># pragma warning (disable:4819)using namespace std;bool initDevice(void)int cnt, i;cudaGetDeviceCount(&cnt);if (cnt < 0){cout << "Can not find CUDA device" << endl;return false;}for (i = 0; i < cnt; i++){cudaDeviceProp porp;if (cudaGetDeviceProperties(&porp, i) == cudaSuccess){if (porp.major >= 1) {break;}}}if (i == cnt){cout << "< 1.0" << endl;}return true;}__global__ void kernel_compute(float *model, float *input, float *output){int idx_x, idx_y;idx_y = blockIdx.x;idx_x = idx_y * blockDim.x + threadIdx.x;float sum = 0;for (int i = 0; i < 9; i++){sum += input[idx_x] * model[i];}//printf("%3d %d %2.6f %2.6f\n", idx_x, idx_y, sum, input[idx_x]);output[idx_x] = sum;}/*block ---> row*/int buildMaps(float *model, float *input, float *output, int height, int width){initDevice();float *dev_m = NULL, *dev_i = NULL, *dev_o = NULL;int size = height * width;cudaMalloc((void **)&dev_m, 9 * sizeof(float));cudaMalloc((void **)&dev_i, size * sizeof(float));cudaMalloc((void **)&dev_o, size * sizeof(float));cudaMemcpy(dev_m, model, 9 * sizeof(float), cudaMemcpyHostToDevice);cudaMemcpy(dev_i, input, size * sizeof(float), cudaMemcpyHostToDevice);dim3 grid(height, 1, 1);dim3 block(width, 1, 1);kernel_compute << <grid, block >> > (dev_m, dev_i, dev_o);cudaMemcpy(output, dev_o, size * sizeof(float), cudaMemcpyDeviceToHost); return 0;}新建main.cpp⽂件；#include <iostream>#include <Windows.h>#include <stdlib.h>#include <time.h>using namespace std;extern int buildMaps(float *model, float *input, float *output, int height, int width); void show(float *ptr, int height, int width, char *str){cout << str << " : " << endl;for (int h = 0; h < height; h++){for (int w = 0; w < width; w++){int cnt = h * width + w;printf("%5.5f ", ptr[cnt]);}cout << endl;}}#define width 5#define size (width * width)int main(){float *model = (float *)malloc(9 * sizeof(float));float *input = (float *)malloc(size * sizeof(float));float *output = (float *)malloc(size * sizeof(float));if (!model || !input || !output){std::cout << "Malloc Error" << endl;exit(-1);for (int i = 0; i < 9; i++){model[i] = (float)(i);}srand((unsigned)time(0));for (long long int i = 0; i < size; i++){input[i] = ((rand() % 100) * 1.f) / (rand() % 100 + 1);}buildMaps((float *)model, (float *)input, output, width, width); show(model, 3, 3, "model");show(input, width, width, "input");show(output, width, width, "output");int a;cin >> a;}编译，输出结果为：。
