我整天坚持这一点。 以下程序将给出“超出范围的共享或本地地址”错误。 评论这一行将解决这个问题。
hist[tidx] = 0;
但是,我认为分配大小为88 * 4字节的共享内存不会有任何问题。
注释掉这一行也将解决问题
NVMatrix Acts(acts, true);
似乎如果我在全局内存中分配Acts矩阵,共享内存将表现异常。有什么想法吗?
int main(int argc, char ** argv)
{
float * act = new float[2985984];
for (int i=0; i<2985984; i++)
act[i] = 0.0001*(i+1);
Matrix acts(act, 23328, 128); // use act as the data to initialize the 23328x128, matrix in cpu
NVMatrix Acts(acts, true); // create a Acts Matrix which uses GPU global memory, and copies the value from CPU to GPU
// If comment out this line, there is no problem to execute the program
float cost = Calculate();
}
float Calculate()
{
dim3 blocks(4,96);
dim3 threads(32,8);
cudaFuncSetCacheConfig(createShare<8, 32>, cudaFuncCachePreferShared);
int numLabels = 88;
createShare<8, 32><<<blocks, threads, numLabels>>>(numLabels);
return 0;
}
template <int B_Y, int B_X>
__global__ void createShare(int numLabels)
{
extern __shared__ float hist[];
int tidx = threadIdx.y * B_X + threadIdx.x;
if (tidx<numLabels) {
printf("block %d %d %d\n", blockIdx.x, blockIdx.y, tidx);
hist[tidx] = 0;
}
}
答案 0 :(得分:6)
改变这个:
createShare<8, 32><<<blocks, threads, numLabels>>>(numLabels);
到此:
createShare<8, 32><<<blocks, threads, numLabels*sizeof(float)>>>(numLabels);
传递给内核的动态共享分配的大小是 bytes 。您需要分配足够的字节以涵盖88 float
个数量。