shady
Rust-CUDA
shady | Rust-CUDA | |
---|---|---|
6 | 37 | |
143 | 2,894 | |
- | 2.7% | |
3.0 | 0.0 | |
9 months ago | 6 months ago | |
Nim | Rust | |
MIT License | Apache License 2.0 |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
shady
- How can I add graphics to my nim program?
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I learned 7 programming languages so you don't have to
I have used Nim for personal projects for 6 years now and it continues to surprise me on how well versed it is for many problem domains. I am fond of it's SPA framework, karax https://github.com/karaxnim/karax for which I wrote a translation utility https://github.com/nim-lang-cn/html2karax Latest Nimv2 release candidate has improved in the ergonomics and syntax that affect compilation to js, so I was able to cleanup my webapp's code to be less verbose. On GPU programming there has been a few projects that touch GPU programming, most notably https://github.com/treeform/shady
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Why I enjoy using the Nim programming language at Reddit.
This includes the GPU! Yep, that’s right. You can write shaders in Nim. This makes shader code much easier to write because you can debug it on the CPU and run it on the GPU. Being able to run the shader on CPU means print statements and unit tests are totally doable.
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Compile time evaluation in Nim, Zig, Rust and C++
You can do a lot with Nim at compile time, check out my talk on Nim Metaprogramming not just for FizzBuzz, but real world applications: https://fosdem.org/2022/schedule/event/nim_metaprogramming/
I am working an a macro to compile Nim code into GLSL. So not only can you write Nim to C or Nim to JS, it can also (in limited way) do Nim to GLSL GPU Shaders. See here: https://github.com/treeform/shady
I am also working on a macro system similar to SWIG, where using a some macros one can write a Nim library and generate wrappers for your NIM library for many languages like C, Python, JS, Ruby. See here: https://github.com/treeform/genny
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Building a simple room-based chat application in Nim (using HTMX)
See this as one of the examples: https://github.com/treeform/shady
It makes debugging shaders much easier as you can use print statements and unit tests. You can also share code between CPU and GPU side.
Rust-CUDA
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[Media] Anyone try writing a ray tracer with rust? It's pretty fun!
Source code [here](https://github.com/ihawn/RTracer) if anyone is interested in taking a look or giving feedback. As a side question, does anyone have any general advise on getting GPU compute working with rust? I tried [this project](https://github.com/Rust-GPU/Rust-CUDA) but had a bunch of issues (And it doesn't look like an active repo anyways)
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Is rust or python better for Machine learning? Or is there enough decent frameworks?
You have this https://github.com/Rust-GPU/Rust-CUDA
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toolchain nightly package building issue
What I'm trying to do is check out https://github.com/Rust-GPU/Rust-CUDA for a class project.
- [Rust] État de GPGPU en 2022
- Which crate for CUDA in Rust?
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Announcing cudarc and fully GPU accelerated dfdx: ergonomic deep learning ENTIRELY in rust, now with CUDA support and tensors with mixed compile and runtime dimensions!
Be warned, NON_BLOCKING streams do not fully synchronize with sync host to device copies. They are not guaranteed to actually finish by the time they return. Meaning its possible to initiate a copy, then initiate a kernel launch, and have the copy be unfinished by the time the kernel is launched. This caused so many confusing bugs that i personally decided to stop using NON_BLOCKING altogether in rust-cuda. https://github.com/Rust-GPU/Rust-CUDA/issues/15
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In which circumstances is C++ better than Rust?
- Cuda is not doing by FFI linking, instead is compiling CUDA code natively in Rust https://github.com/Rust-GPU/Rust-CUDA and even if it not complete as the C++ SDK is more than a toy
- I learned 7 programming languages so you don't have to
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GNU Octave
Given your criteria, you might want to consider (modern) C++.
* Fast - in many cases faster than Rust, although the difference is inconsequential relative to Python-to-Rust improvement I guess.
* _Really_ utilize CUDA, OpenCL, Vulcan etc. Specifically, Rust GPU is limited in its supported features, see: https://github.com/Rust-GPU/Rust-CUDA/blob/master/guide/src/... ...
* Host-side use of CUDA is at least as nice, and probably nicer, than what you'll get with Rust. That is, provided you use my own Modern C++ wrappers for the CUDA APIs: https://github.com/eyalroz/cuda-api-wrappers/ :-) ... sorry for the shameless self-plug.
* ... which brings me to another point: Richer offering of libraries for various needs than Rust, for you to possibly utilize.
* Easier to share than Rust. A target system is less likely to have an appropriate version of Rust and the surrounding ecosystem.
There are downsides, of course, but I was just applying your criteria.
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Your average rustafarians
Technically, yes. There are crates for OpenCL and CUDA, although official ROCm support does not exist yet.
What are some alternatives?
karax - Karax. Single page applications for Nim.
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
RFCs - A repository for your Nim proposals.
wgpu - A cross-platform, safe, pure-Rust graphics API.
flask_example - Simple examples of the power of flask
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
pixie - Full-featured 2d graphics library for Nim.
CUDA.jl - CUDA programming in Julia.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
GLSL - GLSL Shading Language Issue Tracker
nim_emscripten_tutorial - Nim emscripten tutorial.
WeasyPrint - The awesome document factory