Parallel Three-Dimensional Fast Fourier Transforms Parallel Three-Dimensional Fast Fourier Transforms is a library for computational computing in a wide range of sciences.
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3D parallel Fourier computational computing physics computing climatology computing

Parallel Three-Dimensional Fast Fourier Transforms Description

Parallel Three-Dimensional Fast Fourier Transforms is a library for computational computing in a wide range of sciences. Parallel Three-Dimensional Fast Fourier Transforms, dubbed P3DFFT, is a library for computational computing in a wide range of sciences, such as physics, climatology, chemistry.This project was developed at SDSC by Dmitry Pekurovsky as a product of a Strategic Applications Collaborations (SAC) project. Here are some key features of "Parallel Three-Dimensional Fast Fourier Transforms": · Parallel implementation with 2D data decomposition, overcoming an important limitation to scalability of other 3D FFT libraries implementing 1D, or slab, decomposition. · Optimized for parallel communication and single-CPU performance. · Built on top of well-optimized and flexible 1D FFT libraries. What's New in This Release: · An option has been added to overwrite the (complex) input array when using the complex-to-real transform with FFTW. · An option has been added to use data layout using unit-stride on output of the real-to-complex routine, i.e. (Z,X,Y) ordering.

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