Frederik Hennig authored 4 years ago and Markus Holzer committed 4 years ago

- Added folder 'codegen' to 'apps/tutorials'
- Implemented heat equation code generation in python
- Implemented C++ application for running the generated code
- Added CMake build files for code generation tutorial

Added warning if no SIMD instruction could be determined, adapted field layouts in all tests and benchmarks

use cuda as a first level language in CMake with `enable_language(CUDA)`
enable tests where cuda and codegen are both activated
various minor fixes

This new function does the actual generation using pystencils and creates a target library that can be used as a dependency as usual. One should not list the python script itself anymore in add_executable.
Convention: Use the AppName as a prefix for the generated lib!

Example Usage:

waLBerla_generate_target_from_python( NAME AppNameGeneratedLib FILE GenerateKernel.py OUT_FILES Kernel.h Kernel.cpp)

waLBerla_add_executable ( NAME AppNameGeneratedLibTest DEPENDS GeneratedLib)

To remove code duplication the distinction is now moved
into the generator. Default kernels are "with shape".