A collection of CUDA-accelerated periodicity detection algorithms, with both C++ and Python APIs.
Before attempting to install, ensure that CUDA is installed, and nvcc is added to your PATH variable, or it may not be found by CMake or the Python setup file.
Ensure that Cython and numpy are both installed. Then, simply run:
python setup.py installAnd periodfind should be installed!
First, ensure that CMake is installed, and that it is at least version 3.8. Next, create a build directory for CMake to use, and cd into it:
mkdir cmakebuild
cd cmakebuildNow, run CMake, and build the library:
cmake ..
makeFinally, install the package by running make install (may require super-user priveleges), which will install the library in /usr/local/lib/ and the headers in /usr/local/include/periodfind/ by default (on Linux, location will be different on other operating systems).
This package has been tested only on Linux hosts running CUDA 10.2 and CUDA 11. Other operating systems and versions of CUDA may work, but it is not guaranteed.
Funding for this project was provided by the Larson Scholar Fellowship as part of the SURF program.
This package is licensed under the BSD 3-clause license. The copyright holder is the California Institute of Technology (Caltech).
setup.py and MANIFEST.in are based off of an example project at https://github.com/rmcgibbo/npcuda-example/, licensed under the BSD 2-clause license.