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mkl_fft

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NumPy-based implementation of Fast Fourier Transform using Intel® oneAPI Math Kernel Library (OneMKL)

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::mkl_fft

Usage Tracking

2.1.2
2.1.1
2.1.0
2.0.0
1.3.14
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Downloads (Last 6 months): 0

Description

Supports in-place and out-of-place, 1D and ND complex FFT on arrays of single and double precision with arbitrary memory layout, so long as array strides are multiples of its itemsize.

About

Summary

NumPy-based implementation of Fast Fourier Transform using Intel® oneAPI Math Kernel Library (OneMKL)

Last Updated

Dec 19, 2025 at 18:49

License

BSD-3-Clause

Total Downloads

3.7M

Supported Platforms

macOS-64
win-64
linux-64

Unsupported Platforms

win-32 Last supported version: 1.0.9