# PRACE HPC Kernels This project is part of PRACE CodeVault providing example codes of common HPC kernels such as dense and sparse linear algebra, spectral and N-body methods, structured and unstructured grids, Monte Carlo methods and parallel I/O. The code samples are published as open source and can be used both for educational purposes and as parts of real application suites (as permitted by particular license). ## How to contribute Any contributions (new code samples, bug fixes, improvements etc.) are warmly welcome. In order to contribute, please follow the standard Gitlab workflow: 1. Fork the project into your personal space 2. Create a feature branch 3. Work on your contributions 4. Push the commit(s) to your fork 5. Submit a merge request to the master branch ## Compilation instructions The pre-requisites are: * CMake 2.8.10 or higher. CMake >= 3.0.0 if you want to build everything. * A C++ compiler * For advanced examples, C++11/14, OpenMP support, MPI, ISPC, CUDA, OpenCL ... In order to build the code, follow the typical CMake steps for an out-of-source build: ```bash mkdir build cd build cmake .. make make install # optional ```