Cloning ChASE source code -------------------------- ChASE is an open source project and it is available on `GitHub `_. In order to download the source code of ChASE one needs to have the `git `_ utility installed. To clone a local copy of the ChASE repository execute the command: .. code-block:: sh git clone https://github.com/ChASE-library/ChASE .. _build-label: Building and Installing the ChASE library ------------------------------------------ On a Linux system with MPI and CMake installed in the standard locations, ChASE can be build by executing in order the following commands (after having cloned the repository): .. code-block:: sh cd ChASE/ mkdir build cd build/ cmake .. -DCMAKE_INSTALL_PREFIX=${ChASEROOT} make install In the commands above, the variable ``${CHASEROOT}`` is the path to install ChASE on user's laptops. CMake will auto-detect the dependencies and select the default installed modules. In order to select a specific module installation, one can manually specify several build options, especially when multiple versions of libraries or several different compilers are available on the system. For instance, any ``C++``, ``C``, or ``Fortran`` compiler can be selected by setting the ``CMAKE_CXX_COMPILER``, ``CMAKE_C_COMPILER``, and ``CMAKE_Fortran_COMPILER`` variables, respectively. The following provide an illustration of such setting. :: -D CMAKE_CXX_COMPILER=/usr/bin/g++ \ -D CMAKE_C_COMPILER=/usr/bin/gcc \ -D CMAKE_Fortran_COMPILER=/usr/bin/gfortran Analogously, it may be necessary to manually specify the paths to the MPI implementation by, for example, setting the following variables. :: -D MPI_CXX_COMPILER=/usr/bin/mpicxx \ -D MPI_C_COMPILER=/usr/bin/mpicc \ -D MPI_Fortran_COMPILER=/usr/bin/mpif90 For instance, installing ChASE on an Apple computer with gcc and Accelerate, one could execute the following command: .. code-block:: sh cmake -DCMAKE_CXX_COMPILER=g++ -DCMAKE_C_COMPILER=gcc -DCMAKE_Fortran_COMPILER=gfortran .. Quick Hands-on by Examples ------------------------------ For a quick test and usage of the library, we provide various ready-to-use examples which use ChASE to solve eigenproblems. Some of these examples make the additional use of the ``C++`` library ``Boost`` for the parsing of command line values. Thus ``Boost`` should also be provided before the installation of ChASE if users would like to build ChASE with these examples. In order to build these examples together with ChASE the sequence of building commands should be slightly modified as below: .. code-block:: sh cd ChASE/ mkdir build cd build/ cmake .. -DCMAKE_INSTALL_PREFIX=${ChASEROOT} -DBUILD_WITH_EXAMPLES=ON make install Executing ChASE using the ready-to-use examples is rather straightforward. For instance, :ref:`hello-world-chase` is executed by simply typing the line below: .. code-block:: sh ./0_hello_world/0_hello_world In this example, a Clement matrix is generated and default values of parameters are used. To run this example with MPI, start the command with the mpi launcher of your choice, e.g. `mpirun` or `srun`. For sake of completeness we provide a complete list of parameters in this example below. .. table:: ========================= =================================================================================================== Parameter (default value) Description ========================= =================================================================================================== N (=1001) Size of the Input Matrix nev (=40) Wanted Number of Eigenpairs nex (=20) Extra Search Dimensions deg (=20) Initial filtering degree, value set by ``config.SetDeg(20)`` tol (=1e-10) Minimum tolerance required to declare eigenpairs converged, value set by ``config.SetTol(1e-10)`` opt (=true) If optimize the degree of filter internally by ChASE, value set by ``config.SetOpt(true)`` ========================= =================================================================================================== .. note:: For the quick test and benchmark, user can modify some of parameters, e.g., to change the size of matrix ``N`` which will generate a clement matrix of different size, to change the number of wanted eigepairs ``nev``, etc. .. note:: For the fine tuning of more parameters in ChASE, please visit :ref:`configuration_object`, in which we provide a class to set up all the parameters of eigensolvers. For the suggestion of selecting values of parameters, please visit :ref:`parameters_and_config`. .. note:: For a complete explanation of all the examples, please visit :ref:`examples-chase`.