anchor.diff:  Recently, it has become possible to develop also on Windows
   using https://visualstudio.microsoft.com/[Microsoft Visual Studio]. We here
   describe how to work with FELTOR's OpenMP shared memory backend on Windows.
  -[CAUTION]
  +____
   Unfortunately, the msvc compiler only supports an outdated OpenMP version so
   consider a performance penalty of approximately a factor 2, when running the OpenMP backend on Windows.
  +____
   
   ===== Basic Setup
   
  
positive.code: | *GPU*     | - | NVidia GPU with compute-capability > 6 and nvcc-8.0
  | *MPI*     | - | mpi installation compatible with compiler (must be cuda-aware in case hybrid MPI+GPU is the target system)
  |=======================================================================
  [NOTE]
  Our GPU backend uses the
  https://developer.nvidia.com/cuda-zone[Nvidia-CUDA] programming
  environment and in order to compile and run a program for a GPU a user
  
negative.code: compiler. The CPU version of the backend is equally valid and provides
  the same functionality. Analogously, an MPI installation is only required if the user targets
  a distributed memory system.
  ____
  
  === Running a FELTOR test or benchmark program
  
  