dcompute
rust-gpu
dcompute | rust-gpu | |
---|---|---|
5 | 82 | |
133 | 6,952 | |
0.0% | 0.8% | |
0.0 | 7.7 | |
over 1 year ago | 14 days ago | |
D | Rust | |
Boost Software License 1.0 | Apache License 2.0 |
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dcompute
- DCompute: Native execution of D on GPUs and other Accelerators
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Let's learn D game programming development
Shameless plug: LDC (the LLVM based D compiler) can already target CUDA (and OpenCL) and wraps its API and all of the nasty details involved in replicating <<<>>> kernel launches with https://github.com/libmir/dcompute/ with a sane syntax that's type safe. LLVM handles the codegen, and all of the "magic" is done in the library.
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Compile-Time Sort in D
As noted elsewhere it seems your experience is somewhat outdated: the releases of the LLVM D Compiler (one of the two compilers worth using for production builds, the other being GDC) are buffered to the bugs introduced in DMD (which is more stable than it used to be although there are still regressions), and there is a fork based GC available for linux, but as the GC will only ever trigger on allocation, don't use it and it won't collect.
> While C++ is not by any means a great meta-language, it's improved considerably since that time.
C++ has also painted itself into a corner multiple times too, which despite being technically an improvement over the status quo are lacking severely in their utility. C++ screwed up "constexpr if" big time by always introducing a scope (which costs you a pair of {}'s in the rare occasion you need one) which means you can't conditionally insert declarations (i.e. variables, structs/classes, functions).
> but beyond the novelty you'd hardly find a mature or reliable codebase written by a team of professionals using hacks like [string manipulation and mixins].
They are a wonderful hack when you need them and nothing else will do what you want. This is not unlike resorting to macros in C++, except that its hygienic, unlike macros.
I'm not claiming the project is mature and I'm only one person, but reliable definitely out there. The most heinous set of string mixins i've ever written[1] has definitely got to be the code for generating wrappers to call the OpenCL object property querying functions (clGetDeviceInfo & friends). You need to pass a size and a void pointer to the address of the return object that you have to call once, twice or more (depending on the type of the queried property) to figure out how much memory you need to allocate to call it again.
The important thing is that the interface[2] you use to drive this code generation is very clean and return on investment for getting the generic case correct is large.
[1]: https://github.com/libmir/dcompute/blob/master/source/dcompu...
- Why I Like D
- Unified Shader Programming in C++
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?
vectorflow
llama.cpp - LLM inference in C/C++
Ion - Ion
wgpu - Cross-platform, safe, pure-rust graphics api.
hauberk - A web-based roguelike written in Dart.
Rust-CUDA - Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
shaders - Circle C++ shaders
onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)
dlangui - Cross Platform GUI for D programming language
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.
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
DiligentEngine - A modern cross-platform low-level graphics library and rendering framework