LISFLOOD-FP can be compiled on Windows or Linux using CMake version 3.13 or above.
Launch Visual Studio 2019 and open lisflood-fp
as a local folder.
Choose the msvc-x64-Debug
or msvc-x64-Release
configuration, then Rebuild All
.
Close Visual Studio, then run launch_vs2019_intel64.bat
, which assumes that Visual Studio 2019 Community Edition is installed (the .bat
script sets the necessary environment variables for Visual Studio to locate the Intel compiler).
Choose the intel-x64-Debug
or intel-x64-Release
configuration, then Rebuild All
.
Once launched from the .bat
file, Visual Studio can compile with either MSVC or Intel compiler by choosing the appropriate configuration.
To run lisflood.exe
from Visual Studio, switch the Solution Explorer
to CMake Targets View
, the Add Debug Configuration
to lisflood (executable)
(see the Visual Studio documentation for more details).
Ensure a recent version of CMake is installed.
Also ensure libnuma-dev
is installed and, for NetCDF output and dynamic rainfall support, ensure libnetcdf-dev
is also installed. On Ubuntu:
sudo snap install cmake --classic
sudo apt install libnuma-dev libnetcdf-dev
Then open a terminal at in the root lisflood-fp
directory:
cmake -S . -B build
cmake --build build
The lisflood
executable is written to the build
directory.
If libnuma
is installed in a non-standard location, use
cmake -S . -B build -DNUMA_ROOT=<path>
cmake --build build
The default build configuration is given in config.default.cmake
. To customise the build, copy and modify this file.
Then, in Windows, edit the appropriate configuration in CMakeSettings.json
:
"configurations": [
{
"name": "msvc-x64-Debug",
…
"cmakeCommandArgs": "-D_CONFIG=<filename>",
…
}
…
]
Or, in Linux:
cmake -S . -B build -D_CONFIG=<filename>
cmake --build build
CMake automatically compiles LISFLOOD-FP FV1 and DG2 CUDA solvers if the NVIDIA CUDA Toolkit is installed.
To customise the CUDA compute capabilities, see config.default.cmake
.