100 lines
3.9 KiB
Markdown
100 lines
3.9 KiB
Markdown
[](https://discord.gg/SHVaVfV)
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### Depreciated
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This version of FastNoise SIMD is now depreciated, please look into using [FastNoise 2](https://github.com/Auburn/FastNoise2/) which is the successor to this library.
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# FastNoise SIMD
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FastNoise SIMD is the SIMD implementation of my noise library [FastNoise](https://github.com/Auburns/FastNoise). It aims to provide faster performance through the use of intrinsic(SIMD) CPU functions. Vectorisation of the code allows noise functions to process data in sets of 4/8/16 increasing performance by 700% in some cases (Simplex).
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After releasing FastNoise I got in contact with the author of [FastNoise SIMD](https://github.com/jackmott/FastNoise-SIMD) (naming is coincidence) and was inspired to work with SIMD functions myself. Through his code and discussions with him I created my implementation with even more optimisation thanks to the removal of lookup tables.
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Runtime detection of highest supported instruction set ensures the fastest possible performance with only 1 compile needed. If no support is found it will fallback to standard types (float/int).
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## Features
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- Value Noise 3D
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- Perlin Noise 3D
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- Simplex Noise 3D
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- Cubic Noise 3D
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- Multiple fractal options for all of the above
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- White Noise 3D
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- Cellular Noise 3D
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- Perturb input coordinates in 3D space
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- Integrated up-sampling
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- Easy to use 3D cave noise
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Credit to [CubicNoise](https://github.com/jobtalle/CubicNoise) for the cubic noise algorithm
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## Supported Instruction Sets
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- ARM NEON
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- AVX-512F
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- AVX2 - FMA3
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- SSE4.1
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- SSE2
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## Tested Compilers
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- MSVC v120/v140
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- Intel 16.0
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- GCC 4.7 Linux
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- Clang MacOSX
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## Wiki
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[Docs](https://github.com/Auburns/FastNoiseSIMD/wiki)
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## Related repositories
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- [FastNoise](https://github.com/Auburns/FastNoise)
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- [PyFastNoiseSIMD](https://github.com/robbmcleod/PyFastNoiseSIMD)
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# FastNoise SIMD Preview
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I have written a compact testing application for all the features included in FastNoiseSIMD with a visual representation. I use this for development purposes and testing noise settings used in terrain generation. The fastest supported instruction set is also reported.
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Download links can be found in the [Releases Section](https://github.com/Auburns/FastNoiseSIMD/releases).
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# Performance Comparisons
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Using default noise settings on FastNoise SIMD and matching those settings across the other libraries where possible.
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Timings below are x1000 ns to generate 32x32x32 points of noise on a single thread.
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- CPU: Intel Xeon Skylake @ 2.0Ghz
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- Compiler: Intel 17.0 x64
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| Noise Type | AVX512 | AVX2 | SSE4.1 | SSE2 | FastNoise | LibNoise |
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|-------------|--------|------|--------|------|-----------|----------|
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| White Noise | 7 | 9 | 16 | 29 | 141 | |
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| Value | 92 | 152 | 324 | 436 | 642 | |
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| Perlin | 147 | 324 | 592 | 795 | 1002 | 1368 |
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| Simplex | 129 | 294 | 548 | 604 | 1194 | |
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| Cellular | 851 | 1283 | 2679 | 2959 | 2979 | 58125 |
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| Cubic | 615 | 952 | 1970 | 3516 | 2979 | |
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Comparision of fractals and sampling performance [here](https://github.com/Auburns/FastNoiseSIMD/wiki/In-depth-SIMD-level).
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# Examples
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### Cellular Noise
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[Cave noise example](https://www.youtube.com/watch?v=Df4Hidvq11M)
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### Fractal Noise
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### Value Noise
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### White Noise
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### Perturb
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