What are some advanced techniques in C++ GPU programming?

What are some advanced techniques in C++ GPU programming?

Some advanced techniques include optimizing memory access patterns, using shared memory effectively, and employing streams for concurrency.

Can you explain how to optimize memory access patterns?

Certainly! Optimizing memory access patterns involves minimizing global memory accesses and maximizing coalescing by accessing memory in a contiguous manner.

What is shared memory and how can it be used?

Shared memory is a fast, on-chip memory that can be accessed by all threads in a block. It can be used to store frequently accessed data to reduce global memory accesses.

How do I implement streams for concurrency?

You can implement streams by creating multiple CUDA streams and launching kernels in parallel, allowing for overlapping computation and data transfers.

Are there any tools to help with profiling GPU performance?

Yes, tools like NVIDIA Nsight and Visual Profiler can help you analyze and optimize your GPU performance.