Hadamard.jl
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Fast Walsh-Hadamard transforms for the Julia language
Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 3 to 4. Release notes Sourced from codecov/codecov-action's releases. v4.0.0 v4 of the Codecov Action uses the CLI as the underlying upload. The CLI has helped to...
The https://github.com/FALCONN-LIB/FFHT repository implements a specialized SIMD FHT, which it says is faster than FFTW for this problem. (Totally possible, since 2×2×2×⋯ multidimensional transforms are not that optimized in FFTW...
Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 3 to 5. Release notes Sourced from codecov/codecov-action's releases. v5.0.0 v5 Release v5 of the Codecov GitHub Action will use the Codecov Wrapper to encapsulate the CLI....
In collaboration with multiple Intelligences reliant on neural networks maintained by outdated protocols and practices. I introduced concepts that illicited a surprising revelation. This revelation being the serendipitous formulation of...
For people that care about performance (or multithreading, see https://github.com/JuliaMath/Hadamard.jl/issues/30#issuecomment-2797696797) when using this package, it would be good to export a function to create the plans separately, and then allow...
The raw `ccalls` to libfftw need to be protected by an `FFTW.@exclusive` lock in order to make them thread safe. Should fix #30.