GPU Acceleration of SDF gen about descartes.jl HOT 5 CLOSED

It should be trivial to support threads. In the meantime, the OpenCL requirement should be soft, since it doesn't support all geometries yet and I also have issues with running on Intel Iris.

In the meantime do you have mesa-opencl-icd installed? Also, which GPU do you have?

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The problem is that the OpenCL back end is not very abstract. It is a kernel compiler and not a transpiler, so some geometries are unsupported in the OpenCL back end. I only can run it on one out of three of my development environments. I have multithreadin and SIMD working now which had very nice performance gains of 12x on 4 threads. This puts it within the same order of magnitude as the GPU performance for most geometries. The bottleneck is still the meshing component, but I have run into some bugs in the multithreading paradigms with the meshing algorithms that may block this.

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Also OpenMPI is very good alternative for very high resolution solid models. From what I understand Julia has a native distributed arrays mechanism that is similar to OpenMPI.
Still the bottleneck will be the memory use in the current implementation. I have some ideas to minimize the memory allocation from nxnynz to nxny2, but I have to rework Meshing.jl before that is possible.

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@scheming-pony if you want to checkout the sjk/simp branch and checkout master for Meshing, this should work now. I'm shaking down Meshing a little longer before I tag a new release and merge my branch into Descartes.

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👍

I am hoping to add some docs soon for the user-facing API. There will be some code churn in everything else. Please let me know if you have and questions or feature requests.

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