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 362 articles , 1 standard article )

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  1. Ammon, Martin; Baggioli, Matteo; Jiménez-Alba, Amadeo; Moeckel, Sebastian: A smeared quantum phase transition in disordered holography (2018)
  2. Arduino, Alessandro; Bottauscio, Oriano; Chiampi, Mario; Zilberti, Luca: Magnetic resonance-based imaging of human electric properties with phaseless contrast source inversion (2018)
  3. 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)
  4. Hassanieh, Haitham: The sparse Fourier transform: theory and practice (2018)
  5. Neumüller, Martin; Thalhammer, Andreas: A fully parallelizable space-time multilevel Monte Carlo method for stochastic differential equations with additive noise (2018)
  6. Parmentier, Philippe; Winckelmans, Grégoire; Chatelain, Philippe: A vortex particle-mesh method for subsonic compressible flows (2018)
  7. Phelan, Carolyn E.; Marazzina, Daniele; Fusai, Gianluca; Germano, Guido: Fluctuation identities with continuous monitoring and their application to the pricing of barrier options (2018)
  8. Roberts, Malcolm; Bowman, John C.: Multithreaded implicitly dealiased convolutions (2018)
  9. Townsend, Alex; Webb, Marcus; Olver, Sheehan: Fast polynomial transforms based on Toeplitz and Hankel matrices (2018)
  10. Abergel, Rémy; Moisan, Lionel: The Shannon total variation (2017)
  11. Antti-Pekka Hynninen, Dmitry I. Lyakh: cuTT: A High-Performance Tensor Transpose Library for CUDA Compatible GPUs (2017) arXiv
  12. 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)
  13. Aulery, Frederic; Dupuy, Dorian; Toutant, Adrien; Bataille, Françoise; Zhou, Ye: Spectral analysis of turbulence in anisothermal channel flows (2017)
  14. Ayala, Diego; Protas, Bartosz: Extreme vortex states and the growth of enstrophy in three-dimensional incompressible flows (2017)
  15. Bürgel, Florian; Kazimierski, Kamil S.; Lechleiter, Armin: A sparsity regularization and total variation based computational framework for the inverse medium problem in scattering (2017)
  16. Clara Happ: Object-Oriented Software for Functional Data (2017) arXiv
  17. Cook, Steven C.; Hohenegger, Christel; Shinar, Tamar: A micro-macro framework for analyzing steric and hydrodynamic interactions in gliding assays (2017)
  18. Engelberg, Shlomo: Elementary number theory and Rader’s FFT (2017)
  19. Huang, Wen; Gallivan, K. A.; Zhang, Xiangxiong: Solving phaselift by low-rank Riemannian optimization methods for complex semidefinite constraints (2017)
  20. Hu, Xianfeng; Iwen, Mark; Kim, Hyejin: Rapidly computing sparse Legendre expansions via sparse Fourier transforms (2017)

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