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All Projects → Auburn → Fastnoisesimd

Auburn / Fastnoisesimd

Licence: mit
C++ SIMD Noise Library

Labels

simdsseneonavx2noisefractal

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Depreciated

This version of FastNoise SIMD is now depreciated, please look into using FastNoise 2 which is the successor to this library.

FastNoise SIMD

FastNoise SIMD is the SIMD implementation of my noise library 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).

After releasing FastNoise I got in contact with the author of 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.

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).

Features

  • Value Noise 3D
  • Perlin Noise 3D
  • Simplex Noise 3D
  • Cubic Noise 3D
  • Multiple fractal options for all of the above
  • White Noise 3D
  • Cellular Noise 3D
  • Perturb input coordinates in 3D space
  • Integrated up-sampling
  • Easy to use 3D cave noise

Credit to CubicNoise for the cubic noise algorithm

Supported Instruction Sets

  • ARM NEON
  • AVX-512F
  • AVX2 - FMA3
  • SSE4.1
  • SSE2

Tested Compilers

  • MSVC v120/v140
  • Intel 16.0
  • GCC 4.7 Linux
  • Clang MacOSX

Wiki

Docs

Related repositories

FastNoise SIMD Preview

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.

Download links can be found in the Releases Section.

Simplex Fractal

Performance Comparisons

Using default noise settings on FastNoise SIMD and matching those settings across the other libraries where possible.

Timings below are x1000 ns to generate 32x32x32 points of noise on a single thread.

  • CPU: Intel Xeon Skylake @ 2.0Ghz
  • Compiler: Intel 17.0 x64
Noise Type AVX512 AVX2 SSE4.1 SSE2 FastNoise LibNoise
White Noise 7 9 16 29 141
Value 92 152 324 436 642
Perlin 147 324 592 795 1002 1368
Simplex 129 294 548 604 1194
Cellular 851 1283 2679 2959 2979 58125
Cubic 615 952 1970 3516 2979

Comparision of fractals and sampling performance here.

Examples

Cellular Noise

Cellular Noise

Cellular Noise

Cellular Noise

Cave noise example

Fractal Noise

Simplex Fractal Billow

Perlin Fractal Billow

Value Noise

Value Noise

White Noise

White Noise

Perturb

Perturbed Cellular Noise

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