The cuda_mcmc software is designed to greatly accelerate solving various optimization problems using the NVIDIA graphics processing units (GPU) with the CUDA computing platform. We use a version of the Markov chain Monte-Carlo (MCMC) algorithm based on the Metropolis-Hastings sampler with replica exchange (MCMC-RE). The detailed description of the algorithm with its mapping on the CUDA GPU architecture including the user instructions to its installation and writing custom optimization/equation solving applications is provided in the doc/ directory. Several examples of the code usage are given in the examples/ directory.
To start using CUDA MCMC software, first enter its containing directory (usually ~/cuda_mcmc) and issue the
command
$ make
It will create the directories ~/lib64/python, and ~/bin, and setup the
environment for them by adding to the end of the ~/.bashrc file the lines
export PATH=$PATH:~/bin
export PYTHONPATH=$PYTHONPATH:~/lib64/python
After make finishes, update the environment variables PATH and PYTHONPATH issuing the command
$ source ~/.bashrc
Or simply open a new console window. This will automatically run ~/.bashrc script and set the environment variables.