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Nvidia Warp: A Python framework for high performance GPU simulation and graphics

(github.com)
490 points jarmitage | 1 comments | 14 Jun 24 13:28 UTC | HN request time: 0.386s | source
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raytopia ◴[14 Jun 24 15:20 UTC] No.40681705[source]▶
I love how many python to native/gpu code projects there are now. It's nice to see a lot of competition in the space. An alternative to this one could be Taichi Lang [0] it can use your gpu through Vulkan so you don't have to own Nvidia hardware. Numba [1] is another alternative that's very popular. I'm still waiting on a Python project that compiles to pure C (unlike Cython [2] which is hard to port) so you can write homebrew games or other embedded applications.

[0] https://www.taichi-lang.org/

[1] http://numba.pydata.org/

[2] https://cython.readthedocs.io/en/stable/

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1. bradknowles ◴[15 Jun 24 21:59 UTC] No.40693004[source]▶
I’m happy to have ways to run my python code that will execute much faster on GPUs, but I don’t want anything that is tied to a particular GPU family. I’ll happily use CUDA if I’m on NVIDIA, but I want something that is also performant on other architectures as well.

Otherwise, I’m not going to bother.