CUDA范例编程中的shaed memory bitmap

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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