ash
kompute
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ash | kompute | |
---|---|---|
13 | 37 | |
1,693 | 1,480 | |
3.1% | 6.5% | |
8.1 | 8.3 | |
10 days ago | 8 days ago | |
Rust | C++ | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.
ash
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Going beyond build.rs: introducing cargo-px
If you want to automate the creation of certain code that will be nested under the src directory, and committed into source control, there are a variety of ways to do that. One option is to create a sub-crate in your project that does the code-gen and you can run it as needed. The ash project is an example of this.
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Hey Rustaceans! Got a question? Ask here (16/2023)!
There is also [Vulkano](https://github.com/vulkano-rs/vulkano). It has a safe high level api and lower level layers, all the way down to [ash](https://github.com/ash-rs/ash) which is more or less raw vulkan. It's more explicit and verbose than [wgpu](https://github.com/gfx-rs/wgpu) though, so maybe try wgpu first and see how you like it.
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A new picture of my ray tracing voxel engine (Vulkan/RTX/Rust)
Yes. I use Ash bindings for Vulkan and raw GLSL for shaders. I tried to use spirv-std for shaders—it was really great to have the benefits of Rust (structs, enums, strict type assertions, etc.)—until I needed to use buffer references. Unfortunaly, it is not yet implemented.
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go-vk - A new Go language binding for Vulkan
This is great, of all the vulkan go bindings I have been waiting for one that uses vk.xml to generate the bindings, because it's the only viable way to keep the bindings up-to-date. (fyi the popular [ash-rs](https://github.com/ash-rs/ash) is created the same-way).
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undefined symbol: wlEglCreateSurfaceExport
Hi, I am having an issue on pop-os wayland where when I run a vulkan application I get an error symbol lookup error: /lib/x86_64-linux-gnu/libnvidia-vulkan-producer.so: undefined symbol: wlEglCreateSurfaceExport I have tested this with https://github.com/ash-rs/ash running the triangle example.
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State of GPGPU in 2022
Nice and simple. Its quite portable too. But simplicity and ease of use come with some limitations. Ash is much more complex but can extract every bit of power from your card if needed. Wgpu-rs github comes with many examples and you can find a really nice tutorial here
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I made a video with every single debug render on a pathtracer I'm programming in Rust
low level vulkan bindings
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How to render text with rust?
Glium and ash provide low level access to different common graphics api's. I'm sure there's a good directx-11/12 bindings as well but I'm unfamiliar with what people use.
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https://np.reddit.com/r/rust/comments/pgruh2/most_efficient_way_to_write_and_read_large/hbfavpa/
fn read_uncompressed_buffer( reader: &mut R, length: usize, // estimated via a seek or other mechanism file_is_little_endian: bool, ) -> Result> { let bytes = length * std::mem::size_of::(); // it is undefined behavior to call read_exact on un-initialized, https://doc.rust-lang.org/std/io/trait.Read.html#tymethod.read // see also https://github.com/MaikKlein/ash/issues/354#issue-781730580 let mut buffer = vec![0u64, length]; unsafe { // transmute u64 to bytes. let slice = std::slice::from_raw_parts_mut( buffer.as_mut_ptr() as *mut u8, length * std::mem::size_of::(), ); reader.read_exact(slice)?; } if is_native_little_endian() != file_is_little_endian { swap(&mut buffer, file_is_little_endian) } }
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Most efficient way to write and read large amounts of u64s?
// it is undefined behavior to call read_exact on un-initialized, https://doc.rust-lang.org/std/io/trait.Read.html#tymethod.read // see also https://github.com/MaikKlein/ash/issues/354#issue-781730580 let mut buffer = vec![0u64, length]; unsafe { // transmute u64 to bytes. let slice = std::slice::from_raw_parts_mut( buffer.as_mut_ptr() as *mut u8, length * std::mem::size_of::(), ); reader.read_exact(slice)?; } if is_native_little_endian() != file_is_little_endian { swap(&mut buffer, file_is_little_endian) }
kompute
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Intel CEO: 'The entire industry is motivated to eliminate the CUDA market'
The two I know of are IREE and Kompute[1]. I'm not sure how much momentum the latter has, I don't see it referenced much. There's also a growing body of work that uses Vulkan indirectly through WebGPU. This is currently lagging in performance due to lack of subgroups and cooperative matrix mult, but I see that gap closing. There I think wonnx[2] has the most momentum, but I am aware of other efforts.
[1]: https://kompute.cc/
[2]: https://github.com/webonnx/wonnx
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[P] - VkFFT version 1.3 released - major design and functionality improvements
Great to see the positive momentum of this framework! Best wishes and upvotes from the Vulkan Kompute team :)
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VkFFT: Vulkan/CUDA/Hip/OpenCL/Level Zero/Metal Fast Fourier Transform Library
To a first approximation, Kompute[1] is that. It doesn't seem to be catching on, I'm seeing more buzz around WebGPU solutions, including wonnx[2] and more hand-rolled approaches, and IREE[3], the latter of which has a Vulkan back-end.
[1]: https://kompute.cc/
[2]: https://github.com/webonnx/wonnx
[3]: https://github.com/openxla/iree
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I'm Having Trouble Building this Library...
I look in an example and see similar instructions, stating that the build should be quite simple. But again, it doesn't work. It generates a bunch of folders with Visual Studio stuff, but no executables, no libraries, or anything like that.
I can't figure out how, and there are no tutorials. According to https://kompute.cc/overview/build-system.html I should simply run "cmake -Bbuild". But this doesn't output what I need, and when I look in the Makefile I get the sense that this is more an example Makefile... but then that contradicts the above tutorial.
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How to properly construct an abstraction layer with Vulkan
Kompute is in my opinion good example to take inspiration for abstractions.
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Vulkan for Image Processing? Good choice?
Currently, there's a few Vulkan compute frameworks floating around (like Kompute). I would work with those. Kompute simplifies a lot of the biolerplate and seems like you could benefit from using it.
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Paralell computing project
Try Kompute, a project from the Linux foundation. It is quite simple to use, and does not require deep knowledge of graphics API. It’s a bit painful to setup, but it kinda works well (and I have a project going on on it)
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Bootstrapping Vulkan for Scientific Compute Applications?
This so much.
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[D] PyTorch is moving to the Linux Foundation
This makes alot of sense considering the Linux Foundation is also in charge of Kompute which is likely to be the basis of vendor agnostic GPGPU, and thus the basis of vendor agnostic GPU-based machine learning.
What are some alternatives?
learn-wgpu - Guide for using gfx-rs's wgpu library.
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
wgpu-rs - Rust bindings to wgpu native library
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
vulkan-tutorial-rust - Following the vulkan tutorial(https://vulkan-tutorial.com/) using the Rust programming language.
VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
rust-gpu-compute-example - Minimal example of using rust-gpu and wgpu to dispatch compute shaders written in rust.
OpenCLOn12 - The OpenCL-on-D3D12 mapping layer
egui - egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native
godot-proposals - Godot Improvement Proposals (GIPs)
vulkanalia - Vulkan bindings for Rust.
VulkanExamples - Examples and demos for the Vulkan C++ API