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GPU programming isn't really that bad. I am a bit skeptical this is the way to solve it. The issue is that details do matter when you're writing stuff on the GPU. How much shared memory are you using? How is it scheduled? Is it better to inline or run multiple passes etc. Halide is the closest I think.

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What are you skeptical of? I believe the problem this is solving is a framework that's not CUDA that allows low level access to the hardware, makes it easy to write kernels, and is not Nvidia only. If you watch the video you can write directly in asm if you need to. You have full control if you want it. But it provides primitives and higher level objects that handle common cases.

I'm a novice in the area, but Chris is well respected in this area and cares a lot of about performance.

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