While high-level languages for GPU programming like CUDA C offer a useful level of abstraction, convenience, and maintainability, they inherently hide some of the details of the execution on the hardware. It is sometimes helpful to dig into the underlying assembly code that the hardware is executing to explore performance problems, or to make sure the compiler is generating the code you expect.
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