The examples in this subdirectory showcase several GPU-implementations of finance, computer science, physics, etc. models or algorithms that additionally offer a command line application. The examples are build on Linux for the ROCm (AMD GPU) backend. Some examples additionally support the CUDA (NVIDIA GPU) backend.
- CMake (at least version 3.21)
- OR GNU Make - available via the distribution's package manager
- ROCm (at least version 5.x.x)
- Visual Studio 2019 or 2022 with the "Desktop Development with C++" workload
- ROCm toolchain for Windows (No public release yet)
- The Visual Studio ROCm extension needs to be installed to build with the solution files.
- CMake (optional, to build with CMake. Requires at least version 3.21)
- Ninja (optional, to build with CMake)
Make sure that the dependencies are installed, or use one of the provided Dockerfiles to build and run the examples in a containerized environment.
All examples in the Applications subdirectory can either be built by a single CMake project or be built independently.
$ cd Libraries/Applications$ cmake -S . -B build(on ROCm) or$ cmake -S . -B build -D GPU_RUNTIME=CUDA(on CUDA, when supported)$ cmake --build build
All examples can be built by a single invocation to Make or be built independently.
$ cd Libraries/Applications$ make(on ROCm) or$ make GPU_RUNTIME=CUDA(on CUDA, when supported)
Visual Studio solution files are available for the individual examples. To build all supported HIP runtime examples open the top level solution file ROCm-Examples-VS2019.sln and filter for Applications.
For more detailed build instructions refer to the top level README.md.
All examples in the Applications subdirectory can either be built by a single CMake project or be built independently. For build instructions refer to the top-level README.md.