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. (by KomputeProject)
pyvkfft
Python interface to VkFFT (by vincefn)
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| kompute | pyvkfft | |
|---|---|---|
| 37 | 2 | |
| 1,486 | 46 | |
| 6.9% | - | |
| 8.1 | 8.5 | |
| 4 days ago | about 1 month ago | |
| C++ | Python | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
kompute
Posts with mentions or reviews of kompute.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-14.
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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.
pyvkfft
Posts with mentions or reviews of pyvkfft.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-03.
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[P] - VkFFT version 1.3 released - major design and functionality improvements
-Accuracy verification of the new version can be found here: vincefn/pyvkfft#25
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VkFFT: Vulkan/CUDA/Hip/OpenCL/Level Zero/Metal Fast Fourier Transform Library
Rust bindings are at the bottom of the readme: https://github.com/semio-ai/vkfft-rs
Also Python: https://github.com/vincefn/pyvkfft
What are some alternatives?
When comparing kompute and pyvkfft you can also consider the following projects:
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
iree - A retargetable MLIR-based machine learning compiler and runtime toolkit.
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
vkfft-rs - Rust bindings for VkFFT, a high-performance FFT implementation for Vulkan
OpenCLOn12 - The OpenCL-on-D3D12 mapping layer
godot-proposals - Godot Improvement Proposals (GIPs)
VulkanExamples - Examples and demos for the Vulkan C++ API
clspv - Clspv is a compiler for OpenCL C to Vulkan compute shaders
futhark - :boom::computer::boom: A data-parallel functional programming language