https://github.com/abelcarreras/cuda_functions

Python functions to calculate the FFT and autocorrelation function using GPU (Cuda)
https://github.com/abelcarreras/cuda_functions

autocorrelation-functions complex cuda cuda-functions fft gpu power-spectrum pypi python-api

Last synced: 3 months ago
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Python functions to calculate the FFT and autocorrelation function using GPU (Cuda)

• Host: GitHub
• URL: https://github.com/abelcarreras/cuda_functions
• Owner: abelcarreras
• License: mit
• Created: 2016-12-06T06:06:03.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2019-07-18T12:05:55.000Z (over 5 years ago)
• Last Synced: 2024-10-03T12:11:43.135Z (4 months ago)
• Topics: autocorrelation-functions, complex, cuda, cuda-functions, fft, gpu, power-spectrum, pypi, python-api
• Language: Cuda
• Homepage:
• Size: 45.9 KB
• Stars: 10
• Watchers: 4
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
[![PyPI version](https://badge.fury.io/py/cuda_functions.svg)](https://pypi.python.org/pypi/cuda_functions)

[![Build Status](https://travis-ci.org/abelcarreras/cuda_functions.svg?branch=development)](https://travis-ci.org/abelcarreras/cuda_functions)

CUDA functions

==============

This is a collection of python functions written with CUDA,

using cuFFT and cuBLAS libraries.

The interface with Python is written using the Python C API.

These functions intend to mimic the behavior of numpy functions: fft and correlate

using the power of GPU.

Included functions

---------------------------------------------------------

1. Fast Fourier transform 1D (Complex-to-complex)

  - cuda_fft   (single/double precision Fourier transfom)

  - cuda_ifft  (single/double precision inverse Fourier transfom)

2. Autocorrelation functions (Real-to-real and complex-to-complex)

  - cuda_acorrelate (single/double precision autocorrelation function)

Installation

---------------------------------------------------------

1. Requirements

  - Python 2.7/3.4 or higher

  - numpy

  - cuda toolkit (http://docs.nvidia.com/cuda/)

  

2. Run setup.py script to compile only (testing)

   
python setup.py build_ext  --inplace

3. To install the module on your system use

   distutils setup.py as usual:

   
python setup.py install --user

4. Now module is available on PyPI

   
pip install cuda_functions

 

5. Run and check included python scripts as example

Contact info

---------------------------------------------------------

Abel Carreras


[email protected]

Donostia International Physics Center (DIPC)


Donostia-San Sebastian (Spain)