AccRQA

GPU accelerated calculation of RQA metrics using CUDA

Documentation

The documentation is on GitHub pages. (https://kadamek.github.io/AccRQA/index.html)

Installation and Usage (Linux)

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"  ../

The software can then be compiled using the generated Makefile. To do so, simply type

make