←back to thread

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: 0.213s | source
Show context
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/

replies(8): >>40681794 #>>40681883 #>>40681919 #>>40682488 #>>40684037 #>>40685851 #>>40686919 #>>40693004 #
pjmlp ◴[14 Jun 24 19:17 UTC] No.40684037[source]▶
I would rather that Python catches up with Common Lisp tooling in JIT/AOT in the box, instead of compilation via C.
replies(3): >>40684186 #>>40684624 #>>40686404 #
crabbone[dead post] ◴[14 Jun 24 20:13 UTC] No.40684624[source]▶
[flagged]
pjmlp ◴[14 Jun 24 21:09 UTC] No.40685156[source]▶
Unfortunately there are folks that believe we have to use Python, and then rewrite in C, while calling those wrappers "Python" libraries, regardless of how much I would like to use JVM or CLR instead.

So if Python has taken Lisp's place in AI, I would rather that it also takes the JIT and AOT tooling as well.

replies(2): >>40685224 #>>40686949 #
1. crabbone ◴[14 Jun 24 21:16 UTC] No.40685224[source]▶
Well, then, I guess, I should've prefaced what I wrote with "ideally".

Of course, there are circumstances we, the flesh-and-blood people cannot change, and if Python is all there is, no matter how good or bad it is, then it's probably better to make it do something we need... One could still hope though.