SpFFT | Sparse 3D FFT library with MPI , OpenMP , CUDA and ROCm | GPU library

by eth-cscs C++ Version: v1.0.6 License: BSD-3-Clause

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | SpFFT Summary

SpFFT is a C++ library typically used in Hardware, GPU, Pytorch applications. SpFFT has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

SpFFT - A 3D FFT library for sparse frequency domain data written in C++ with support for MPI, OpenMP, CUDA and ROCm. Inspired by the need of some computational material science applications with spherical cutoff data in frequency domain, SpFFT provides Fast Fourier Transformations of sparse frequency domain data. For distributed computations with MPI, slab decomposition in space domain and pencil decomposition in frequency domain (sparse data within a pencil / column must be on one rank) is used. Fig. 1: Illustration of a transform, where data on each MPI rank is identified by color.

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Support

SpFFT has a low active ecosystem.

It has 36 star(s) with 8 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 9 have been closed. On average issues are closed in 18 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SpFFT is v1.0.6

Quality

SpFFT has 0 bugs and 0 code smells.

Security

SpFFT has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

SpFFT code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SpFFT is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

SpFFT releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 41 lines of code, 0 functions and 1 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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SpFFT Key Features

No Key Features are available at this moment for SpFFT.

SpFFT Examples and Code Snippets

SpFFT,Examples

C++

Lines of Code : 103

License : Permissive (BSD-3-Clause)

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#include 
#include 
#include 

#include "spfft/spfft.hpp"

int main(int argc, char** argv) {
  const int dimX = 2;
  const int dimY = 2;
  const int dimZ = 2;

  std::cout << "Dimensions: x = " << dimX << ", y = " << dimY <

SpFFT,Installation

C++

Lines of Code : 4

License : Permissive (BSD-3-Clause)

Copy

mkdir build
cd build
cmake .. -DSPFFT_OMP=ON -DSPFFT_MPI=ON -DSPFFT_GPU_BACKEND=CUDA -DSPFFT_SINGLE_PRECISION=OFF -DCMAKE_INSTALL_PREFIX=/usr/local
make -j8 install

Community Discussions

Trending Discussions on SpFFT

Correct order of implementing fftshift and ifftshift (in python)

QUESTION

Correct order of implementing fftshift and ifftshift (in python)

Asked 2017-Feb-13 at 13:25

I want to Fourier transform a function psi(x), multiply it by a k-space function exp(-kx^2-ky^2), and then inverse Fourier transform the product back to x-space.

But my x-space and k-space grids are centred, and I know that I need fftshift and ifftshift to implement my k-space multiplication properly. But I don't understand how they work, so I don't know in which order to implement them. Could someone please tell me if I have done it correctly here?

...

ANSWER

Answered 2017-Feb-12 at 02:56

No you haven’t, but that’s ok, it can be very confusing.

First thing: fft and ifft require the origin to be in the beginning of the vector (or in your 2D case, in the top-left of the array). Is the input psi’s origin centered like KX? If so, its origin must be shifted to the beginning with ifftshift. (If not, then just leave it alone.)

Second: since KX and KY have origins in their centers, you have to unshift them: you need spfft.ifftshift(np.exp(-(KX**2 + KY**2)) (note the i).

Finally: your output psi will therefore have its origin in the beginning. If you want its origin to be centered like KX, fftshift it.

In summary:

Source https://stackoverflow.com/questions/42151936

Community Discussions, Code Snippets contain sources that include Stack Exchange Network