Julia interfaces (CPU and GPU)

Principal author Ludvig af Klinteberg and others have built and maintain FINUFFT.jl, an interface from the Julia language. This official Julia package supports 32-bit and 64-bit precision, now on both CPU and GPU (via CUDA.jl), via a common interface. The Julia package installation automatically downloads pre-built CPU binaries of the FINUFFT library for Linux, macOS, Windows and FreeBSD (for a full list see finufft_jll), and the GPU binary for Linux (see cufinufft_jll).

FINUFFT.jl has itself been wrapped as part of NFFT.jl, which contains an “abstract” interface to any NUFFT in Julia, with FINUFFT as an example. This was by Tobias Knopp and coworkers, starting around 2022. Their performance comparison page show that FINUFFT matches their native Julia implementation for speed of type 1 and type 2 transforms in 3D, and beats NFFT, and with less precomputation. In 1D and 2D, the native Julia implementation is 1-2 times faster than FINUFFT in their tests on uniformly-random nonuniform points.