FastNoise SIMD

by Jordan Peck · September 28, 2016

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

Credit to CubicNoise for the cubic noise algorithm

Supported Instruction Sets

ARM NEON
AVX512
AVX2 – FMA3
SSE4.1
SSE2

Tested Compilers

MSVC v120/v140
Intel 16.0
GCC 4.7 Linux
Clang MacOSX

Wiki

Docs

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.