When parallelize the FFT algorithm, we have to consider that which algorithm is suitable for implementing the FFT. The recursive way for the FFT algorithm is easy to implement. However, there are two reasons for using an iterative way for FFT algorithm. First, iterative version of the FFT algorithm can perform fewer index computations.

Jun 23, 2012 · If your signal is multi-dimensional, then parallelizing the FFT can be accomplished fairly easily; keep one dimension contiguous in an MPI process, perform the FFT, and transpose (altoall) to work on the next dimension.

procedure fft(x; y; n; !) A. Gupta and V. Kumar, The Scalability of FFT on Parallel Computers, IEEE Trans. Parallel Distrib. Sys. 4:922-932, 1993.

This project uses the OpenMP and OpenACC parallel programming frameworks to implement the Cooley-Tukey fast Fourier transform (FFT) algorithm. It was created by Evan MacBride, Seth Prentice, and Ryan Barber for the University of Delaware's CISC372 Parallel Computing course.

PFFT is a software library for computing massively parallel, fast Fourier transformations on distributed memory architectures. PFFT can be understood as a generalization of FFTW-MPI to multidimensional data decomposition.

Gupta and V. Kumar, The Scalability of FFT on Parallel Computers, IEEE Trans. Parallel Distrib. Sys. 4:922-932, 1993.

Oct 6, 2019 · When computing FFTs in distributed-memory parallel computers, it is necessary to distribute data among MPI processes. There are roughly two methods of data distribution, block distribution, and cyclic distribution. In most parallel FFT libraries [1, 2, 3, 4, 7, 9], the block distribution is used.

Parallel FFTs are computed through a combination of global redistributions and serial transforms. In mpi4py-fft the interface to performing such parallel transforms is the mpifft.PFFT class. The class is highly configurable and best explained through a few examples.

This book focuses on the implementation details on fast Fourier transform (FFT) for parallel computers. FFT is an efficient implementation of the discrete Fourier transform, and is widely used for many applications in engineering, science, and mathematics.

A parallel FFT algorithm is described that segments the fast Fourier transform algorithm into groups of identical parallel operations that can be performed concurrently and independently.