fastnoise_simd_bindings
| Crates.io | fastnoise_simd_bindings |
| lib.rs | fastnoise_simd_bindings |
| version | 0.1.1 |
| source | src |
| created_at | 2020-05-12 00:27:09.173661 |
| updated_at | 2020-09-28 08:59:10.263994 |
| description | Bindings for the FastNoiseSIMD library, https://github.com/Auburns/FastNoise. |
| homepage | |
| repository | https://github.com/AustinJ235/fastnoise-simd-rs |
| max_upload_size | |
| id | 240381 |
| size | 188,293 |
Austin Johnson (AustinJ235)
documentation
README
FastNoise SIMD
Bindings for FastNoiseSIMD used by the safe wrapper fastnoise-simd-bindings.
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. Vectorization 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 optimization 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