This just reminded me of some older article on Numpy performance on Intel vs AMD [1].
I’m not posting this to bash AMD. Just trying to make point that the software side can matter a lot and from end customer point-of-view this can make a huge difference.
Sure, if AMD hardware is much better than Intels, an unoptimized libc might run better there. That’s not the point.
The point is that a libc optimized for AMD could run much better than what it does today.
Improving the performance of low level libraries for Intel hardware is trivial because there are a lot of great tools that help you with that.
If I had to improve the performance of some library on AMD hardware, I would get some Intel hardware and tools, improve the performance for Intel, and then “hope” that this improves the performance for AMD as well.
I’m not posting this to bash AMD. Just trying to make point that the software side can matter a lot and from end customer point-of-view this can make a huge difference.
[1] https://www.pugetsystems.com/labs/hpc/AMD-Ryzen-3900X-vs-Int...