FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data, i.e. the discrete cosine/sine transforms or DCT/DST). We believe that FFTW, which is free software, should become the FFT library of choice for most applications. The latest official release of FFTW is version 3.3.3, available from our download page. Version 3.3 introduced support for the AVX x86 extensions, a distributed-memory implementation on top of MPI, and a Fortran 2003 API. Version 3.3.1 introduced support for the ARM Neon extensions.


References in zbMATH (referenced in 353 articles , 1 standard article )

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  1. Beaudoin, Anthony; Huberson, Serge; de Dreuzy, Jean-Raynald: Adapting particle methods to model the dynamics of concentration gradients and chemical reactivity under advective diffusive transport conditions (2018)
  2. Parmentier, Philippe; Winckelmans, Grégoire; Chatelain, Philippe: A vortex particle-mesh method for subsonic compressible flows (2018)
  3. Roberts, Malcolm; Bowman, John C.: Multithreaded implicitly dealiased convolutions (2018)
  4. Townsend, Alex; Webb, Marcus; Olver, Sheehan: Fast polynomial transforms based on Toeplitz and Hankel matrices (2018)
  5. Abergel, Rémy; Moisan, Lionel: The Shannon total variation (2017)
  6. Antti-Pekka Hynninen, Dmitry I. Lyakh: cuTT: A High-Performance Tensor Transpose Library for CUDA Compatible GPUs (2017) arXiv
  7. Attems, Maximilian; Casalderrey-Solana, Jorge; Mateos, David; Santos-Oliván, Daniel; Sopuerta, Carlos F.; Triana, Miquel; Zilhão, Miguel: Paths to equilibrium in non-conformal collisions (2017)
  8. Ayala, Diego; Protas, Bartosz: Extreme vortex states and the growth of enstrophy in three-dimensional incompressible flows (2017)
  9. Bürgel, Florian; Kazimierski, Kamil S.; Lechleiter, Armin: A sparsity regularization and total variation based computational framework for the inverse medium problem in scattering (2017)
  10. Clara Happ: Object-Oriented Software for Functional Data (2017) arXiv
  11. Cook, Steven C.; Hohenegger, Christel; Shinar, Tamar: A micro-macro framework for analyzing steric and hydrodynamic interactions in gliding assays (2017)
  12. Engelberg, Shlomo: Elementary number theory and Rader’s FFT (2017)
  13. Huang, Wen; Gallivan, K.A.; Zhang, Xiangxiong: Solving phaselift by low-rank Riemannian optimization methods for complex semidefinite constraints (2017)
  14. Hu, Xianfeng; Iwen, Mark; Kim, Hyejin: Rapidly computing sparse Legendre expansions via sparse Fourier transforms (2017)
  15. Kalisch, M.; Moeckel, S.; Ammon, M.: Critical behavior of the black hole/black string transition (2017)
  16. Kruglyakov, Mikhail; Bloshanskaya, Lidia: High-performance parallel solver for integral equations of electromagnetics based on Galerkin method (2017)
  17. Mang, Andreas; Biros, George: A semi-Lagrangian two-level preconditioned Newton-Krylov solver for constrained diffeomorphic image registration (2017)
  18. Moscovich, Amit; Nadler, Boaz: Fast calculation of boundary crossing probabilities for Poisson processes (2017)
  19. Peter Steinbach, Matthias Werner: gearshifft - The FFT Benchmark Suite for Heterogeneous Platforms (2017) arXiv
  20. Robin Scheibler, Eric Bezzam, Ivan Dokmanic: Pyroomacoustics: A Python package for audio room simulations and array processing algorithms (2017) arXiv

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