glut32.lib放到C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4.1\lib\Win32（根据安装的目录）目录下，并把glut32.dll放到C:\Windows\System32下面，这个可以通过去网上下载一个压缩包cuda by example【完整版】（cuda_by_example.zip).cpu_bitmap的头文件也在这个压缩包中
#include "C://Users//XX//Desktop//CUDA//common//cpu_bitmap.h"
#define DIM 1024
#define PI 3.1415926535897932
__global__ void kernel(unsigned char *ptr)
{
int x=threadIdx.x+blockIdx.x*blockDim.x;
int y=threadIdx.y+blockIdx.y*blockDim.y;
int offset=x+y*blockDim.x*gridDim.x;
__shared__ float shared[16][16];
const float period=128.0f;
shared[threadIdx.x][threadIdx.y]=
255*(sinf(x*2.0f*PI/period)+1.0f)*
(sinf(y*2.0f*PI/period)+1.0f)/4.0f;
__syncthreads();
ptr[offset*4+0]=0;
ptr[offset*4+1]=shared[15-threadIdx.x][15-threadIdx.y];
ptr[offset*4+2]=0;
ptr[offset*4+3]=255;
}
int main()
{
CPUBitmap bitmap(DIM,DIM);
unsigned char *dev_bitmap;
cudaMalloc((void**)&dev_bitmap,bitmap.image_size());
dim3 grids(DIM/16,DIM/16);
dim3 threads(16,16);
kernel<<<grids,threads>>>(dev_bitmap);
cudaMemcpy(bitmap.get_ptr(),dev_bitmap,bitmap.image_size(),cudaMemcpyDeviceToHost);
bitmap.display_and_exit();
cudaFree(dev_bitmap);
}
运行结果如下
