Orochi
kompute
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Orochi | kompute | |
---|---|---|
5 | 37 | |
187 | 1,470 | |
12.8% | 5.9% | |
5.7 | 8.3 | |
5 days ago | 26 days ago | |
C++ | C++ | |
MIT License | 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.
Orochi
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Blender 3.6 (huge AMD gains with HIP RT) reaches Beta Phase 3
While you're waiting for the HIP SDK to release, check out Orochi as an alternative https://github.com/GPUOpen-LibrariesAndSDKs/Orochi
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AMD Posts Patch Enabling Vega APU/GPU Support For Blender's HIP Backend
This isn't a full-fledged SDK but if you develop using the driver/runtime API and nvrtc on Linux, you could certainly use this library to make it run on Windows https://github.com/GPUOpen-LibrariesAndSDKs/Orochi Bonus - it also lets you compile a single binary that runs on both CUDA and HIP!
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First time in 2 years I was able to get Blender running with an AMD GPU on Linux!
You can't run CUDA binaries directly. But you can use a wrapper library like Orochi to run both CUDA and HIP using a single binary that dynamically links with CUDA/HIP libraries at runtime https://github.com/GPUOpen-LibrariesAndSDKs/Orochi
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How are Vulkan, CUDA, Triton and all other things connected?
I stumbled across orochi from AMD while looking for their FSR2.0 implementation, which basically boils down to being a wrapper over Cuda and HIP. I don't know if it is still maintained or functional, but heres the link if anyone is interested: https://github.com/GPUOpen-LibrariesAndSDKs/Orochi
- Orochi – dynamic loading of HIP/CUDA from a single binary
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/
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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/
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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?
SPIRV-Cross - SPIRV-Cross is a practical tool and library for performing reflection on SPIR-V and disassembling SPIR-V back to high level languages.
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
Stable-Diffusion-ONNX-FP16 - Example code and documentation on how to get Stable Diffusion running with ONNX FP16 models on DirectML. Can run accelerated on all DirectML supported cards including AMD and Intel.
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
rocm-arch - A collection of Arch Linux PKGBUILDS for the ROCm platform
VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
naga - Universal shader translation in Rust
OpenCLOn12 - The OpenCL-on-D3D12 mapping layer
wgpu - Cross-platform, safe, pure-rust graphics api.
godot-proposals - Godot Improvement Proposals (GIPs)
rivi-loader - Vulkan Compute program loader in Rust
VulkanExamples - Examples and demos for the Vulkan C++ API