Pushed to dpotter/pkdgrav3
f7eeafe Ignore fewer files as autoconf is gone
pkdgrav3 September 24, 2018 http://www.pkdgrav.org/ Douglas Potter <firstname.lastname@example.org> Joachim Stadel <email@example.com> Quick Start ----------- The pkdgrav3 code now uses the "cmake" build system. It is recommended to use an "out of source" build. The easiest way to accomplish this is to create a subdirectory in the pkdgrav3 source directory: mkdir build cd build cmake .. make This will build a single executable "pkdgrav3" and other utility programs. Prerequisites ------------- CMake - cmake build system Most modern systems already have cmake installed. Pkdgrav3 requires version 3.1 or newer of cmake. You can check with "cmake --version": pkdgrav3:~> cmake --version cmake version 3.5.2 If you need a more recent version is can be found at: https://cmake.org/ GSL - The GNU Scientific Library This library is usually available on HPC systems, but if not it must be downloaded and compiled, and can be found at this URL. https://www.gnu.org/software/gsl/ pkdgrav3 will locate the GSL installation by invoking gsl-config, so make sure that it is in your PATH. Alternatively, you can tell CMake where to find it by defining GSL_ROOT_ROOT: cmake -DGSL_ROOT_DIR=/opt/gsl/2.5 FFTW - Fast Fourier Transform Library (optional) If FFTW is available then two advanced features are enabled in pkdgrav3. 1. Initial Condition Generation, and, 2. Power spectrum measurement If is is not available on your system it can be obtained from: http://www.fftw.org/ If CMake does not automatically find FFTW then you can define FFTW_ROOT_ROOT: cmake -DFFTW_ROOT=/path/to/fftw CUDA If your system has a CUDA capable GPU then pkdgrav3 can use it. The necessary toolkits can be downloaded from nVidia. https://developer.nvidia.com/cuda-downloads Build ----- Once CMake has been run to produce a Makefile and associated files, the "make" command is used to build the program, as in: make The build can be done in parallel so if you are on, for example, a 16 core machine, the build process can be sped up with: make -j 16 Running ------- pkdgrav3 -------- This version is run using the MPI system on the cluster in question. Normally this involves a special command (often "mpirun" or "mpiexec"), for example: mpiexec pkdgrav3 simfile.par Consult your cluster documentation on how to run MPI programs.