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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: 0s | 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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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.
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crabbone[dead post] ◴[14 Jun 24 20:13 UTC] No.40684624[source]▶
[flagged]
markhahn ◴[14 Jun 24 23:33 UTC] No.40686167[source]▶
gosh, pythonistas must have called you really bad names.

JVM wanted to be Self, but Sun was on its last legs by then. now it's just a weird historic artifact, still casting a shadow, or at least causing an unpleasant smell.

I'm curious about the masters-have-left claim: do you really thing current Python action is somehow foolish?

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1. jsgFa ◴[14 Jun 24 23:53 UTC] No.40686295[source]▶
I don't know about "foolish", but the current efforts adding complex threading and a JIT that promises 30% speedup over 3.10 look misguided.

Before, the selling point was simplicity and C extensions.

Just go to GitHub: Apart from the people who are paid to integrate the above features development has all but stalled. The corporate takeover of the "free" software Python (without a standard or viable other implementations like C++) is complete!