OpenSimplex2
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Implementation issues
Hello, and thank you for all your work. I am in the process of porting these various algorithms to Common Lisp. So far I ported 2F 2D, and I'm currently wondering if my 2F 3D implementation is correct. It seems to look too regular compared to your examples, though they do share some similarities. This is difficult to debug, as I'm not seeing any graphical artifacts or anything. I am not sure if what I have looks correct or not after staring at it for so long. Below is a 2D slice of 2F 3D XY/Z, though results look pretty similar to Classic. For completion, I also provided an animated gif, moving through the third axis. My goal is to finish a correct implementation in Common Lisp, so that I can submit a PR to your repository. Thank you for your help.
Edit: My version seems to be very sparse compared to yours, with features packed much more closer together in yours.
Cancel that. The issue was a typo of the wrong XOR argument in the lattice point tree, so it was choosing the wrong success branch after the first iteration.
Anyway, once I finish with this port in a day or two, would you want to add a not so common language port to your collection, or should it go in the readme as a link? :)
I finished impleementing them all, and will be publishing the code soon after some more optimization work, so far the results outperform C# (on my particular hardware), but there is still room for improvement. Here are the results so far:
| (10 million iterations) | Common Lisp | CSharp | Diff |
|---|---|---|---|
| OpenSimplex2F 2D | 0.376s | 0.547s | 1.45x |
| OpenSimplex2F 3D | 0.496s | 0.806s | 1.62x |
| OpenSimplex2F 4D | 0.760s | 1.758s | 2.31x |
| OpenSimplex2S 2D | 0.476s | 0.622s | 1.30x |
| OpenSimplex2S 3D | 0.680s | 1.085s | 1.59x |
| OpenSimplex2S 4D | 1.073s | 2.044s | 1.90x |
Edit: Optimizations improved speed
Cool to hear! Interested in seeing the final result. I will soon be updating this repo with faster versions of the noise based on what I wrote for FastNoiseLite (https://github.com/Auburn/FastNoiseLite), so I wonder how that will affect the comparison.
did not want to open a new topic output values are in [-1, 1] , correct?
