oneDNN VS highway

If you are talking about non-small matrix multiplication in MKL, is now in opensource as a part of oneDNN. It literally has exactly the same code, as in MKL (you can see this by inspecting constants or doing high-precision benchmarks).

For small matmul there is libxsmm. It may take tremendous efforts make something faster than oneDNN and libxsmm, as jit-based approach of https://github.com/oneapi-src/oneDNN/blob/main/src/gpu/jit/g... is too flexible: if someone finds a better sequence, oneDNN can reuse it without major change of design.

But MKL is not limited to matmul, I understand it...

For completeness, it looks like this question was posted to the oneDNN GitHub repo and the response was to stay tune for updates.

From the release note of oneDNN v2.5:

Intel are trying to support their oneAPI compute framework on Arm and IBM POWER and z/Architecture (s390x) but since they ever released only a single discrete GPU with the Xe architecture it's unclear whether they'll support Xe GPU compute on e.g. ARM https://github.com/oneapi-src/oneDNN

It's using Highway.js or Barba.js I am not using any framework on this project.

@dogstudio/highway is one such library that doesn't check for that, and thus preventing the default behavior of an anchor will not prevent further navigation.

I've come across swup , HighwayJS and barba js

Highway.js is another good replacement for Barba. It's actually built by Dogstudio, so would be exactly what they're using on their site. Yuri also has a tutorial on YouTube for that one.

3 June 2021 - steventaylor.com - this is a Wordpress site whose landing page seems to be mostly an intro video. Additional animation handled by GSAP and Highway.js. These and WP are all open source.