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This likely won’t give you a good view since SGPRs and VGPRs (+ LDS with compute) affect occupancy. Ex, at the low occupancy end, moving from 129 to 128 VGPRs can nearly double the performance (halve the time) of a program’s execution.
Absolutely. I've actually seen that sort of thing myself before. That's why I put in the bit at the end for it being messy and inexact. But at least it still gives you empirical evidence. By taking out that branch, you did gain a lot, but it's possibly not why you think.
Admittedly, my understanding of GPUs is limited. I read technical papers and articles and wrestle with the terms and realities of it a lot. (http://gpuopen.com is great for this). Would you have any recommendations for education in this realm?
This was linked elsewhere, but in case you haven’t seen it: https://devblogs.nvidia.com/the-peak-performance-analysis-method-for-optimizing-any-gpu-workload/ … I can’t recall any single great source, but reading all the slides / presentations by Nvidia and AMD regarding performance are useful. AMD does performance tweets regularly too.
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