Rust-CUDA
nalgebra
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Rust-CUDA | nalgebra | |
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37 | 20 | |
2,852 | 3,717 | |
3.8% | 1.9% | |
0.0 | 7.8 | |
5 months ago | about 23 hours ago | |
Rust | Rust | |
Apache License 2.0 | Apache License 2.0 |
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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.
nalgebra
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Xkcd 2916: Machine
Ok, so this uses https://rapier.rs/ which is very cool
Rapier, alongside https://nalgebra.org/ (which it uses underneath) has seriously good documentation and some advanced features like cross-platform determinism (something made hard by the way floating point differs between platforms)
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Geometric Algebra to Geometric Computing Software Developers
> Some GA libraries[1][2] define types for the different kind of objects (grades)
That's nice!
This reminds of me things like, linear algebra libraries that will type-check matrices so that a 2x2 matrix can't be added to a 2x3 matrix (but then you can have a dynamic matrix that will error only in runtime), like https://nalgebra.org/ and others.
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Has anyone worked on a math library before?
Maybe start by looking at https://nalgebra.org/ to see what rust math libraries might look like
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faer 0.8.0 release
And Nalgebra, while better, also seems to have slowed down on commits and responses to issues and PRs. I have a PR there for a relatively simple wrapper type for row vectors which was explicitly requested by a maintainer, which hasn't even gotten a comment since for two weeks.
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A Rust client library for interacting with Microsoft Airsim https://github.com/Sollimann/airsim-client
nalgebra (similar to Eigen in cpp)
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What crates are considered as de-facto standard?
nalgebra
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Science-related crates that I should have a look at?
nalgebra is for linear algebra.
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Hey Rustaceans! Got a question? Ask here! (31/2022)!
Take a look into math libraries, like glam, nalgebra, and cgmath. I've only used these through game engines, though, so I can't offer per-basis reviews/advice.
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C++ is making me depressed / CUDA question
If you do not need GPU then I would recommend looking into Eigen in C++, nalgebra in Rust (with a BLAS in both cases for improved performance) or one of the above options (Julia / Python+JAX).
- Lightning talk: Stop writing Rust
What are some alternatives?
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
cgmath-rs - A linear algebra and mathematics library for computer graphics.
wgpu - Cross-platform, safe, pure-rust graphics api.
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
glam-rs - A simple and fast linear algebra library for games and graphics
CUDA.jl - CUDA programming in Julia.
rust-blas - BLAS bindings for Rust
GLSL - GLSL Shading Language Issue Tracker
rulinalg - A linear algebra library written in Rust
WeasyPrint - The awesome document factory
scirust - Scientific Computing Library in Rust