Efficiently Initializing Shared Memory Array in CUDA

问题

Note that this shared memory array is never written to, only read from.

As I have it, my shared memory gets initialized like:

__shared__ float TMshared[2592]; 
for (int i = 0; i< 2592; i++)
{
TMshared[i] = TM[i];

}
__syncthreads();

(TM is passed into all threads from kernel launch)

You might have noticed that this is highly inefficient as there is no parallelization going on and threads within the same block are writing to the same location.

Can someone please recommend a more efficient approach/comment on if this issue really needs optimization since the shared array in question is relatively small?

Thanks!

回答1:

Use all threads to write independent locations, it will probably be quicker.

Example assumes 1D threadblock/grid:

#define SSIZE 2592

__shared__ float TMshared[SSIZE]; 

  int lidx = threadIdx.x;
  while (lidx < SSIZE){
    TMShared[lidx] = TM[lidx];
    lidx += blockDim.x;}

__syncthreads();

来源：https://stackoverflow.com/questions/24419822/efficiently-initializing-shared-memory-array-in-cuda