shaders
rust-gpu
shaders | rust-gpu | |
---|---|---|
9 | 82 | |
472 | 6,972 | |
- | 0.8% | |
1.8 | 7.7 | |
about 2 years ago | 3 days ago | |
C++ | Rust | |
- | Apache License 2.0 |
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shaders
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Adding HLSL and DirectX Support to Clang and LLVM
It may be close to a technical impossibility, but the Circle compiler by Sean Baxter is attempting it. That's based on an aggressive "de-pointerization" (see [1] in particular for details). There's also academic work[2] to compile C++ to shaders. I agree that it's an open question how well that will work out.
Also as pointed out elsethread, now that buffer device address is starting to land, the friction to compile pointer-intense C++ code should decrease even more. These are exciting times!
[1]: https://github.com/seanbaxter/shaders#approaching-circle-sha...
[2]: https://arxiv.org/abs/2109.14682
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Writing Vulkan SPIR-V shaders in C++?
You can use circle c++ shader https://github.com/seanbaxter/shaders but it's limited to look linux afaik?
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Where to Learn Vulkan for parallel computation (with references to porting from CUDA)
First we have Circle C++ shaders, which pretty much would tick all the boxes. Problem is it's closed source and only compiles host code on linux. Closed source isn't the biggest of issues actually, but prevents anyone from fixing the developers issue with interfacing with the windows ABI and getting the thing working on windows (which itself isn't something they are able to fix because windows doesn't provide the documentation to work with their ABI). However you could use it separately to compile your SPIR-V for windows since SPIR-V doesn't care about platform itself.
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Has anyone seriously considered C++AMP? Thoughts / Experiences?
Yes, Vulkan GPU source is split, though technically in a way that makes it more similar to CUDA. Vulkan uses an intermediate format instead of consuming text code directly, meaning new features are easier to add and frontend code doesn't need to be passed to the vendors driver compiler. SPIR-V is like DXIL or PTX code for CUDA, basically LLVM IR for GPUs. The CUDA compiler compiles your device code into PTX code, and it's what enables you to have "non split" source code. There's even an option to have separate PTX code in CUDA. There are few projects that aim to bring Vulkan SPIR-V into source, including Rust GPU for rust (though it will still have to be in a separate file) and Circle C++ shader for C++.
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Circle, the C++ Automation Language
My favorite use is putting user-defined attributes on data members, and using reflection to generate a UI to manipulate those values. I do it with these shadertoys:
https://github.com/seanbaxter/shaders#reflection-and-attribu...
Just mark your declarations up with custom attributes:
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Unified Shader Programming in C++
I'm confused what is novel about this paper. We already have unified shader programming with circle C++, with way more features, and instead of having an SPIR-V compiler, they made a source to source compiler... We have quite a few of those.
I think shader specialisation is handled pretty well in circle. Since you can essentially run arbitrary C++ code at compile time, selection and specialisation of a shader can even depend on hardware specific benchmarks. There is an extensive repo with examples here: https://github.com/seanbaxter/shaders. One example decodes a sprite sheet stored as a png at compile time and creates a specialised compute shader for it. You can also easily implement a control UI based on reflection of uniform shader parameters.
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Embark Studios has rewritten all their renderer's shader code from GLSL to Rust
There's a project doing something similar for C++ called Circle which is pretty incredible. In its core Circle is an extension of standard C++ which adds a ton of metaprogramming facilities and other productivity enhancing features, things the base language sorely lacks like full compile-time execution of regular C++ code which lets you do anything you can normally do from runtime during compile-time (including file I/O and networking), reflection, typed enums, pattern matching, hygienic macros, list comprehensions and language-native ranges, first class paramater packs and much more.
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Code generation using attributes
I use them to automatically generate an ImGui interface for controlling a shadertoy here: https://github.com/seanbaxter/shaders/blob/master/README.md#user-attributes-and-dear-imgui
rust-gpu
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Vcc – The Vulkan Clang Compiler
Sounds cool, but this requires yet another language to learn[0]. As someone who only has limited knowledge in this space, could someone tell me how comparable is the compute functionality of rust-gpu[1], where I can just write rust?
[0] https://github.com/Hugobros3/shady#language-syntax
[1] https://github.com/EmbarkStudios/rust-gpu
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Candle: Torch Replacement in Rust
I don't do anything related to data science, but I feel like doing it in Rust would be nice.
You get operator overloading, so you can have ergonomic matrix operations that are typed also. Processing data on the CPU is fast, and crates like https://github.com/EmbarkStudios/rust-gpu make it very ergonomic to leverage the GPU.
I like this library for creating typed coordinate spaces for graphics programming (https://github.com/servo/euclid), I imagine something similar could be done to create refined types for matrices so you don't do matrix multiplication matrices of invalid sizes
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What's the coolest Rust project you've seen that made you go, 'Wow, I didn't know Rust could do that!'?
Do you mean rust-gpu?
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How a Nerdsnipe Led to a Fast Implementation of Game of Life
And https://github.com/EmbarkStudios/rust-gpu/tree/main/examples with the wgpu runner (here it runs the compute shader)
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What is Rust's potential in game development?
I don't know how major they are considered, but Embark Studios is doing quite a bit of Rust in the open source space, most notably (IMO) rust-gpu and kajiya
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[rust-gpu] How do I run/build my own shaders locally?
The examples in the rust-gpu repository are a good place to start
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Posh: Type-Safe Graphics Programming in Rust
There's another project that's similar that's being used by an actual game company: https://github.com/EmbarkStudios/rust-gpu
They see specific advantages here that would outweigh that negative. It's not my space (I play games, but know next to nothing about graphics programming), but there's at least one argument in the other direction.
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Introducing posh: Type-Safe Graphics Programming in Rust
Could this approach work for compute shaders (GPGPU) as well? So far, I think https://github.com/EmbarkStudios/rust-gpu is the state of the art in that area, but it adds a specific Rust compiler backend for generating SPIR-V rather than leaving that up to the driver. That seems more complicated than it needs to be... but maybe it has advantages too? Thoughts?
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Looking for high level GPU computing crate
https://github.com/embarkstudios/rust-gpu Allows you to create shaders (kernals) in Rust.
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With what languages are video games like League of Legends (most likely) programmed?
Also Embark Studios (formers DICE people) is doing a lot of work with Rust, all open source like Rust GPU https://github.com/EmbarkStudios/rust-gpu
What are some alternatives?
meta
llama.cpp - LLM inference in C/C++
bgfx - Cross-platform, graphics API agnostic, "Bring Your Own Engine/Framework" style rendering library.
wgpu - Cross-platform, safe, pure-rust graphics api.
circle - The compiler is available for download. Get it!
Rust-CUDA - Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
magnum - Lightweight and modular C++11 graphics middleware for games and data visualization
onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)
dcompute - DCompute: Native execution of D on GPUs and other Accelerators
kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
processing - Source code for the Processing Core and Development Environment (PDE)
DiligentEngine - A modern cross-platform low-level graphics library and rendering framework