我想从全局内存复制到共享内存,我做了以下
__global__ void test(unsigned char *image, unsigned char *out, int n, int m)
{
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
int index = x + y * blockDim.x * gridDim.x;
__shared__ unsigned char shared [16*16*3];
if (threadIdx.x < 256)
{
shared[threadIdx.x*3+0] = image[index*3+0];
shared[threadIdx.x*3+1] = image[index*3+1];
shared[threadIdx.x*3+2] = image[index*3+2];
}
__syncthreads();
if (threadIdx.x < 256)
{
out[index*3+0] = shared[threadIdx.x*3+0];
out[index*3+1] = shared[threadIdx.x*3+1];
out[index*3+2] = shared[threadIdx.x*3+2];
}
}
我有一个512x512图像,我以这种方式调用内核:
out = (unsigned char*) malloc(n*m*3);
cudaMalloc( (void**)&dev_image, n*m*3);
cudaMalloc( (void**)&dev_out, n*m*3);
cudaMemcpy( dev_image, image, n*m*3, cudaMemcpyHostToDevice);
cudaMemcpy( dev_out, out, n*m*3, cudaMemcpyHostToDevice);
dim3 threads(16,16);
dim3 blocks(32, 32);
test<<<blocks, threads>>>(dev_image, dev_out, n, m);
cudaThreadSynchronize();
cudaMemcpy( out, dev_out, n*m*3, cudaMemcpyDeviceToHost );
知道我做错了什么吗?如何将全局内存的一部分复制到共享内存(一维)?
答案 0 :(得分:3)
在你的内核中,检查threadIdx.x < 256
这是错误的,因为threadIdx.x
不能大于15.你必须检查16x16
主题块内的索引。
我已将内核更改为:
__global__ void test(unsigned char *image, unsigned char *out, int n, int m)
{
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
int index = x + y * blockDim.x * gridDim.x;
int blockIndex = threadIdx.x + threadIdx.y * blockDim.x;
__shared__ unsigned char shared [16*16*3];
if (blockIndex < 256 && index < n*m)
{
shared[blockIndex*3+0] = image[index*3+0];
shared[blockIndex*3+1] = image[index*3+1];
shared[blockIndex*3+2] = image[index*3+2];
}
__syncthreads();
if (blockIndex < 256 && index < n*m)
{
out[index*3+0] = shared[blockIndex*3+0];
out[index*3+1] = shared[blockIndex*3+1];
out[index*3+2] = shared[blockIndex*3+2];
}
}
此外,你永远不应该忘记你的内核中的边界检查(我已经添加了)以及针对内核和cuda api调用的正确cuda错误检查。