{"id":18708963,"url":"https://github.com/abelcarreras/cuda_functions","last_synced_at":"2025-04-12T10:35:00.013Z","repository":{"id":62565901,"uuid":"75700105","full_name":"abelcarreras/cuda_functions","owner":"abelcarreras","description":"Python functions to calculate the FFT and autocorrelation function using GPU (Cuda)","archived":false,"fork":false,"pushed_at":"2019-07-18T12:05:55.000Z","size":47,"stargazers_count":10,"open_issues_count":1,"forks_count":2,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-26T05:41:55.550Z","etag":null,"topics":["autocorrelation-functions","complex","cuda","cuda-functions","fft","gpu","power-spectrum","pypi","python-api"],"latest_commit_sha":null,"homepage":"","language":"Cuda","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/abelcarreras.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-12-06T06:06:03.000Z","updated_at":"2024-07-25T07:33:16.000Z","dependencies_parsed_at":"2022-11-03T16:15:37.978Z","dependency_job_id":null,"html_url":"https://github.com/abelcarreras/cuda_functions","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abelcarreras%2Fcuda_functions","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abelcarreras%2Fcuda_functions/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abelcarreras%2Fcuda_functions/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abelcarreras%2Fcuda_functions/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/abelcarreras","download_url":"https://codeload.github.com/abelcarreras/cuda_functions/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248333614,"owners_count":21086199,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["autocorrelation-functions","complex","cuda","cuda-functions","fft","gpu","power-spectrum","pypi","python-api"],"created_at":"2024-11-07T12:25:49.798Z","updated_at":"2025-04-12T10:34:59.794Z","avatar_url":"https://github.com/abelcarreras.png","language":"Cuda","readme":"[![PyPI version](https://badge.fury.io/py/cuda_functions.svg)](https://pypi.python.org/pypi/cuda_functions)\n[![Build Status](https://travis-ci.org/abelcarreras/cuda_functions.svg?branch=development)](https://travis-ci.org/abelcarreras/cuda_functions)\n\nCUDA functions\n==============\nThis is a collection of python functions written with CUDA,\nusing cuFFT and cuBLAS libraries.\nThe interface with Python is written using the Python C API.\n\nThese functions intend to mimic the behavior of numpy functions: fft and correlate\nusing the power of GPU.\n\n\nIncluded functions\n---------------------------------------------------------\n\n1. Fast Fourier transform 1D (Complex-to-complex)\n  - cuda_fft   (single/double precision Fourier transfom)\n  - cuda_ifft  (single/double precision inverse Fourier transfom)\n\n2. Autocorrelation functions (Real-to-real and complex-to-complex)\n  - cuda_acorrelate (single/double precision autocorrelation function)\n\n\nInstallation\n---------------------------------------------------------\n\n1. Requirements\n  - Python 2.7/3.4 or higher\n  - numpy\n  - cuda toolkit (http://docs.nvidia.com/cuda/)\n  \n2. Run setup.py script to compile only (testing)\n   \u003cbr\u003epython setup.py build_ext  --inplace\n\n3. To install the module on your system use\n   distutils setup.py as usual:\n   \u003cbr\u003epython setup.py install --user\n\n4. Now module is available on PyPI\n   \u003cbr\u003epip install cuda_functions\n \n5. Run and check included python scripts as example\n\n\nContact info\n---------------------------------------------------------\n\nAbel Carreras\n\u003cbr\u003eabelcarreras83@gmail.com\n\nDonostia International Physics Center (DIPC)\n\u003cbr\u003eDonostia-San Sebastian (Spain)","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabelcarreras%2Fcuda_functions","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabelcarreras%2Fcuda_functions","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabelcarreras%2Fcuda_functions/lists"}