pxl-th

7 ms·

1. 1.▲
   by pxl-th 1mo ago

   Дякую! :)
2. 2.▲
   by pxl-th 1mo ago

   Hi Christian! Thank you! :)
3. 3.▲
   Better Gaussian Splatting in Julia(pxl-th.github.io)

   126 points by pxl-th 1mo ago|27 comments
4. 4.▲
   by pxl-th 1y ago

   Definitely, with backend agnostic code you can target only a common set of features. It's convenient to use where it makes sense as it reduces the complexity: 1 kernel for all backends. And you can actually go a long way with this with
5. 5.▲
   by pxl-th 1y ago

   Thanks! > May I ask, is there any reason why one would focus themselfves on a single type of graphics card instead of relying on a library that works for other variants too? AMDGPU.jl is actually one of the backends supported by Julia. W
6. 6.▲
   AMD GPU Programming in Julia(amdgpu.juliagpu.org)

   26 points by pxl-th 1y ago|4 comments
7. 7.▲
   GaussianSplatting.jl – backend-agnostic Julia implementation(github.com)

   4 points by pxl-th 2y ago|0 comments