A benchmark for comparison of FFT algorithms performance.
Currently supports
- KFR
- Intel IPP
- Intel MKL
- FFTW
CMAKE_PREFIX_PATH should contain the paths to cmake configs of used libraries.
Example:
C:/vcpkg/installed/x64-windows-static-md/share
C:/Program Files (x86)/Intel/oneAPI/ipp/2021.9.0/lib/cmake/ipp
C:/Program Files (x86)/Intel/oneAPI/mkl/2024.0/lib/cmake/mkl
kfr-install-dir/lib/cmake
Requires:
- Clang 12.0+
- CMake 3.12 or newer
- AVX2-capable cpu
- Python 3.5 or newer
- matplotlib module
- numpy module
| Option | Description |
|---|---|
SIZE |
1D FFT |
SIZExSIZE |
2D FFT. Example: 64x32 |
SIZExSIZExSIZE |
3D FFT. Example: 64x32x16 |
--complex flags |
y (complex tests), yn (all tests), n (real tests) |
--inverse flags |
y (IDFT tests), ny (DFT/IDFT tests), n (DFT tests) |
--inplace flags |
y (inplace tests), ny (all tests), n (out-of-place tests) |
--save data.json |
Save results in JSON |
--save - |
Print resulting JSON to stdout |
--avx2-only |
Enable only AVX2 (supported in KFR, IPP, MKL) |
--no-progress |
Disable verbose progress output |
--no-banner |
Disable banner |
MIT