BlenderUSDHydraAddon
kompute
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BlenderUSDHydraAddon | kompute | |
---|---|---|
4 | 37 | |
350 | 1,486 | |
1.4% | 6.9% | |
6.9 | 8.1 | |
5 months ago | 1 day ago | |
Python | 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.
BlenderUSDHydraAddon
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DreamWorks releases OpenMoonRay source code
I had the same question. There exists a USD addon for Blender that support Hydra, so probably you could get that to work with a bit of trial and error!
https://github.com/GPUOpen-LibrariesAndSDKs/BlenderUSDHydraA...
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What Blender needs to become more appealing to the Film Industry
USD and MaterialX are some open projects that needs integration in Blender ASAP. I know AMD is working on an add-on that let's you have USD Hydra in Blender but is far from what it can provide. I think it needs more focus and blender developers to work together to implement it in the main branch.
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Blender artist: ok
Anyway, it will be supported thanks to addons: https://github.com/GPUOpen-LibrariesAndSDKs/BlenderUSDHydraAddon
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Blender 3.0 takes support for AMD GPUs to the next level
Hi there. I help there. ProRender is still very important as it has hardware accelerated raytracing while Cycles does not yet on AMD.
Furthermore we're focusing our efforts on ProRender going forward through USD. https://github.com/GPUOpen-LibrariesAndSDKs/BlenderUSDHydraA... Adding USD workflows to blender and other apps while using ProRender for the rendering solution in USD.
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?
openmoonray - MoonRay is DreamWorks’ open-source, award-winning, state-of-the-art production MCRT renderer.
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
arras4_node
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
rd-blender-docker - A collection of Docker containers for running Blender headless or distributed ✨
VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
vuh - Vulkan compute for people
OpenCLOn12 - The OpenCL-on-D3D12 mapping layer
arras4_core
godot-proposals - Godot Improvement Proposals (GIPs)
arras_render
VulkanExamples - Examples and demos for the Vulkan C++ API