CUDA Memory Optimization

Write a kernel to demonstrate coalesced vs. uncoalesced memory access and measure the performance impact.

Declare and use shared memory within a kernel to facilitate data reuse and reduce global memory traffic.

Use `__syncthreads()` to correctly synchronize threads within a thread block.

Implement a tiled algorithm using shared memory for an operation like matrix transposition.

Explain what a shared memory bank conflict is and how to organize data access to avoid them.

Describe the roles of the read-only data cache and constant memory in optimizing data fetch patterns.