CUDA的获取设备详细信息

首先介绍一下开发环境，Visual Studio 2008 + CUDA
Wizard for Visual Studio. 确保显卡支持CUDA（GeForce 8系列之后，否则只能用模拟模式）并安装CUDA DDK及CUDA Toolkit。

安装完CUDA Wizard for Visual Studio之后，如果编译运行时出现"无法找到cutil32D.dll"的错误，则需要将安装的CUDA的sdk的路径加到系统环境变量中：

例如C:\Program Files\NVIDIA Corporation\NVIDIA CUDA SDK\bin\win32\

下的

├─Debug

├─EmuDebug

├─EmuRelease

└─Release

几个目录都加入到系统环境变量Path中，这样才能在运行程序的时候找到相应的dll库。

然后就可以在VS下直接编译CUDA程序了（*.cu)。以下是一个CUDA初始化的程序。

[cpp] view
plaincopy

#include <stdio.h>

#include <cuda_runtime.h>

bool InitCUDA()

{

int count;

cudaGetDeviceCount(&count);

if(count==0)

{

fprintf(stderr,"There is no device.\n");

return false;

}

int i;

for(i=0;i<count;i++)

{

cudaDeviceProp prop;

if(cudaGetDeviceProperties(&prop,i) == cudaSuccess)

{

if(prop.major>=1)

{

//枚举详细信息

printf("Identify: %s\n",prop.name);

printf("Host Memory: %d\n",prop.canMapHostMemory);

printf("Clock Rate: %d khz\n",prop.clockRate);

printf("Compute Mode: %d\n",prop.computeMode);

printf("Device Overlap: %d\n",prop.deviceOverlap);

printf("Integrated: %d\n",prop.integrated);

printf("Kernel Exec Timeout Enabled: %d\n",prop.kernelExecTimeoutEnabled);

printf("Max Grid Size: %d * %d * %d\n",prop.maxGridSize[0],prop.maxGridSize[1],prop.maxGridSize[2]);

printf("Max Threads Dim: %d * %d * %d\n",prop.maxThreadsDim[0],prop.maxThreadsDim[1],prop.maxThreadsDim[2]);

printf("Max Threads per Block: %d\n",prop.maxThreadsPerBlock);

printf("Maximum Pitch: %d bytes\n",prop.memPitch);

printf("Minor Compute Capability: %d\n",prop.minor);

printf("Number of Multiprocessors: %d\n",prop.multiProcessorCount);

printf("32bit Registers Availble per Block: %d\n",prop.regsPerBlock);

printf("Shared Memory Available per Block: %d bytes\n",prop.sharedMemPerBlock);

printf("Alignment Requirement for Textures: %d\n",prop.textureAlignment);

printf("Constant Memory Available: %d bytes\n",prop.totalConstMem);

printf("Global Memory Available: %d bytes\n",prop.totalGlobalMem);

printf("Warp Size: %d threads\n",prop.warpSize);

break;

}

}

}

if(i==count)

{

fprintf(stderr,"There is no device supporting CUDA.\n");

return false;

}

cudaSetDevice(i);

return true;

}

void main()

{

if(!InitCUDA())

{

getchar();

return;

}

printf("CUDA initialized.\n");

getchar();

}

运行结果如下：