egl-wayland VS kompute

[1] https://github.com/NVIDIA/egl-wayland/pull/104#issuecomment-...

Turns out that Ubuntu 22.04.2 LTS has a library out of sync.[1] No Wayland use of Vulkan on LTS until mid-2024. Apparently fixed in Ubuntu 22.10.

Back to Xorg for now.

[1] https://github.com/NVIDIA/egl-wayland/issues/80

Why the "" earlier, then? Well, there's Wayland... *Almost everything works as it should, except for native WL apps running on vulkan. It's a known bug that's supposedly being worked on, but with no fix in sight. Vulkan apps running through Xwayland run fine, though. I usually stay on X11, so it doesn't really affect me.

Some Wayland apps were not working due to this issue, but there's a workaround. I set __EGL_VENDOR_LIBRARY_FILENAMES=/usr/share/glvnd/egl_vendor.d/50_mesa.json in my /etc/environment and they run fine now.

nvidia broke few gnome appshttps://github.com/NVIDIA/egl-wayland/issues/41

I found https://gitlab.gnome.org/GNOME/gtk/-/issues/4881 , which led to https://github.com/NVIDIA/egl-wayland/issues/41

The two I know of are IREE and Kompute[1]. I'm not sure how much momentum the latter has, I don't see it referenced much. There's also a growing body of work that uses Vulkan indirectly through WebGPU. This is currently lagging in performance due to lack of subgroups and cooperative matrix mult, but I see that gap closing. There I think wonnx[2] has the most momentum, but I am aware of other efforts.

[1]: https://kompute.cc/

[2]: https://github.com/webonnx/wonnx

Great to see the positive momentum of this framework! Best wishes and upvotes from the Vulkan Kompute team :)

To a first approximation, Kompute[1] is that. It doesn't seem to be catching on, I'm seeing more buzz around WebGPU solutions, including wonnx[2] and more hand-rolled approaches, and IREE[3], the latter of which has a Vulkan back-end.

[1]: https://kompute.cc/

[2]: https://github.com/webonnx/wonnx

[3]: https://github.com/openxla/iree

I look in an example and see similar instructions, stating that the build should be quite simple. But again, it doesn't work. It generates a bunch of folders with Visual Studio stuff, but no executables, no libraries, or anything like that.

I can't figure out how, and there are no tutorials. According to https://kompute.cc/overview/build-system.html I should simply run "cmake -Bbuild". But this doesn't output what I need, and when I look in the Makefile I get the sense that this is more an example Makefile... but then that contradicts the above tutorial.

Kompute is in my opinion good example to take inspiration for abstractions.

Currently, there's a few Vulkan compute frameworks floating around (like Kompute). I would work with those. Kompute simplifies a lot of the biolerplate and seems like you could benefit from using it.

Try Kompute, a project from the Linux foundation. It is quite simple to use, and does not require deep knowledge of graphics API. It’s a bit painful to setup, but it kinda works well (and I have a project going on on it)

This so much.

This makes alot of sense considering the Linux Foundation is also in charge of Kompute which is likely to be the basis of vendor agnostic GPGPU, and thus the basis of vendor agnostic GPU-based machine learning.