【IT168 技术】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。
#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();
}
#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：
更多内容请点击：
CUDA专区：http://cuda.it168.com/
CUDA论坛：http://cudabbs.it168.com/
