Chips and Cheese GPU analysis are pretty detailed, but they need to be taken with a huge grain of salt because the results only really apply to OpenCL and nobody buying NVIDIA or AMD GPUs for Compute runs OpenCL on them; its either CUDA or HIP, which differ widely in parts of their compilation stack.
After reading the entire analysis, I'm left wondering, what observations in this analysis - if any - actually apply to CUDA?
After reading the entire analysis, I'm left wondering, what observations in this analysis - if any - actually apply to CUDA?