GPU Memory Hierarchy: Optimization

This lecture covers GPU memory hierarchy, including global, local, shared memory, and caches. It explains the challenges of SIMT execution, such as banked shared memory and inefficient global memory access. Optimization strategies are discussed, emphasizing coalescing memory accesses, reducing bank conflicts, eliminating warp divergence, and minimizing excess instructions.