Your question is Shared vs Global Memory in GPUs. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Explain the difference between shared memory and global memory in a GPU, and how would you leverage them to optimize a matrix multiplication kernel?