GPU accelerated calculation of RQA metrics using CUDA
The documentation is on GitHub pages. (https://kadamek.github.io/AccRQA/index.html)
To configure the build system using CMake, create a build directory
mkdir build
and then
cd build/
run CMake
cmake ../
The CUDA architecture can be specified with the -DCUDA_ARCH flag. For example, for architecture 7.0, do
cmake -DCUDA_ARCH="7.0" ../
To compile binding to R, you have to specify R library location using -DCMAKE_R_LIB_DIR and location of the R include directory using -DCMAKE_R_INC_DIR. For example
cmake -DCMAKE_R_INC_DIR="/usr/share/R/include" -DCMAKE_R_LIB_DIR="/usr/lib/R/lib/libR.so" ../
To compile tests set -DBUILD_TESTS=ON.
To compile example C/C++ application set -DBUILD_APPLICATIONS=ON.
The software can then be compiled using the generated Makefile. To do so, simply type
make