What are some effective CUDA optimization techniques?
Some effective CUDA optimization techniques include memory coalescing, minimizing data transfers, and using shared memory.
Can you explain memory coalescing in more detail?
Memory coalescing refers to the process of combining multiple memory accesses into a single transaction to improve bandwidth.
How can I minimize data transfers between the host and device?
You can minimize data transfers by overlapping computation with data transfer and using streams for asynchronous operations.
What role does shared memory play in CUDA optimization?
Shared memory allows threads within the same block to share data quickly, reducing global memory access and improving performance.
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