Investigate signal diffusion acceleration tools #288
Replies: 7 comments
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Use fluid simulator? https://www.youtube.com/watch?v=Yzr9va5UtiE&t=4s |
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More ideas:
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What about a simple blurring technique? We could store the signal strengths in an image texture and then just blur it in a shader every X seconds. See also this video where a technique like this was used for slime simulation. |
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For blurring, I would be worried that the signals wouldn't respect walls or other obstructions, which leads to very poor pathfinding behavior. |
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How would we get the data back from the GPU? Typically, reading data back from the GPU is not cheap. |
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We'd have to send the texture to the GPU, process it there and then send the modified texture back to the CPU. |
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A friend of mine just showed me this and it kind of reminded me of the problem outlined here. Maybe it helps |
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PDE approximation with operator learning: https://www.quantamagazine.org/new-neural-networks-solve-hardest-equations-faster-than-ever-20210419/
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