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libtrixi

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Libtrixi is an interface library for using Trixi.jl from C/C++/Fortran.

Getting started

Prerequisites

Currently, libtrixi is only developed and tested for Linux. Furthermore, the following software packages need to be made available locally before installing libtrixi:

Get the sources

git clone [email protected]:trixi-framework/libtrixi.git

Building

For building, cmake and its typical workflow is used.

  1. It is recommended to create an out-of-source build directory, e.g.

    mkdir build
cd build

  2. Call cmake

    cmake -DCMAKE_BUILD_TYPE=(Debug|Release) -DCMAKE_INSTALL_PREFIX=<install_directory> ..

    cmake should find MPI and Julia automatically. If not, the directories can be specified manually. The cmake clients ccmake or cmake-gui could be useful.

    • Specifying the directory install_directory for later installation is optional.
    • Optional specification of build type sets some default compiler options for optimized or debug code.
    • Building with t8code support is optional. It requires to pass -DT8CODE_PREFIX=<t8code_install_directory>.

  3. Call make

    make

    This will build and place libtrixi.so in the current directory along with its header and a Fortran mod file. Your application will have to include and link against these.

    Examples can be found in the examples subdirectory.

  4. Install (optional)

    make install

    This will install all provided files to the specified location.

Setting up Julia

Besides the library being installed, you need to configure Julia for use with libtrixi. For this, create a directory where all necessary files will be placed, e.g., libtrixi-julia. Then, you can use the utils/libtrixi-init-julia tool (also available at <install_directory>/bin) to do the rest for you. A minimal example would be:

mkdir libtrixi-julia
cd libtrixi-julia
<install_directory>/bin/libtrixi-init-julia \
    --t8code-library <t8code_install_directory>/lib/libt8.so
    <install_directory>

Use libtrixi-init-julia -h to get help.

In your code, pass the path to the libtrixi-julia directory to trixi_initialize, see the code of the examples. If you did not modify the default value for the Julia depot when calling libtrixi-init-julia, libtrixi will find it automatically. Otherwise, when running a program that uses libtrixi, you need to make sure to set the JULIA_DEPOT_PATH environment variable to point to the <julia-depot> folder reported.

If you intend to use additional Julia packages, besides Trixi and OrdinaryDiffEq, you will have to add them to your Julia project (i.e. use julia --project=<libtrixi-julia_directory> and import Pkg; Pkg.add(<package>)).

Testing

Go to some directory from where you want to run a Trixi simulation.

LIBTRIXI_DEBUG=all \
    <install_directory>/bin/trixi_controller_simple_c \
    <libtrixi-julia_directory> \
    <install_directory>/share/libtrixi/LibTrixi.jl/examples/libelixir_tree1d_dgsem_advection_basic.jl

which should give you an output similar to this:

████████╗██████╗ ██╗██╗  ██╗██╗
╚══██╔══╝██╔══██╗██║╚██╗██╔╝██║
   ██║   ██████╔╝██║ ╚███╔╝ ██║
   ██║   ██╔══██╗██║ ██╔██╗ ██║
   ██║   ██║  ██║██║██╔╝ ██╗██║
   ╚═╝   ╚═╝  ╚═╝╚═╝╚═╝  ╚═╝╚═╝

┌──────────────────────────────────────────────────────────────────────────────────────────────────┐
│ SemidiscretizationHyperbolic                                                                     │
│ ════════════════════════════                                                                     │
│ #spatial dimensions: ………………………… 1                                                                │
│ mesh: ………………………………………………………………… TreeMesh{1, Trixi.SerialTree{1}} with length 31                  │
│ equations: …………………………………………………… LinearScalarAdvectionEquation1D                                  │
│ initial condition: ……………………………… initial_condition_convergence_test                               │
│ boundary conditions: ………………………… Trixi.BoundaryConditionPeriodic                                  │
│ source terms: …………………………………………… nothing                                                          │
│ solver: …………………………………………………………… DG                                                               │
│ total #DOFs: ……………………………………………… 64                                                               │
└──────────────────────────────────────────────────────────────────────────────────────────────────┘

<snip>

┌──────────────────────────────────────────────────────────────────────────────────────────────────┐
│ Environment information                                                                          │
│ ═══════════════════════                                                                          │
│ #threads: ……………………………………………………… 1                                                                │
└──────────────────────────────────────────────────────────────────────────────────────────────────┘

────────────────────────────────────────────────────────────────────────────────────────────────────
 Simulation running 'LinearScalarAdvectionEquation1D' with DGSEM(polydeg=3)
────────────────────────────────────────────────────────────────────────────────────────────────────
 #timesteps:                  0                run time:       7.20000000e-07 s
 Δt:             1.00000000e+00                └── GC time:    0.00000000e+00 s (0.000%)
 sim. time:      0.00000000e+00                time/DOF/rhs!:         NaN s
                                               PID:                   Inf s
 #DOF:                       64                alloc'd memory:        143.411 MiB
 #elements:                  16

 Variable:       scalar
 L2 error:       2.78684204e-06
 Linf error:     6.06474411e-06
 ∑∂S/∂U ⋅ Uₜ :  -3.46944695e-18
────────────────────────────────────────────────────────────────────────────────────────────────────

Current time step length: 0.050000

────────────────────────────────────────────────────────────────────────────────────────────────────
 Simulation running 'LinearScalarAdvectionEquation1D' with DGSEM(polydeg=3)
────────────────────────────────────────────────────────────────────────────────────────────────────
 #timesteps:                 20                run time:       1.11329306e+00 s
 Δt:             5.00000000e-02                └── GC time:    5.11113150e-02 s (0.046%)
 sim. time:      1.00000000e+00                time/DOF/rhs!:  2.58861826e-08 s
                                               PID:            1.57108461e-04 s
 #DOF:                       64                alloc'd memory:        116.126 MiB
 #elements:                  16

 Variable:       scalar
 L2 error:       6.03882964e-06
 Linf error:     3.21788773e-05
 ∑∂S/∂U ⋅ Uₜ :  -2.16706314e-09
────────────────────────────────────────────────────────────────────────────────────────────────────

 ────────────────────────────────────────────────────────────────────────────────────
              Trixi.jl                      Time                    Allocations
                                   ───────────────────────   ────────────────────────
         Tot / % measured:              1.13s /  52.4%           57.4MiB /  21.9%

 Section                   ncalls     time    %tot     avg     alloc    %tot      avg
 ────────────────────────────────────────────────────────────────────────────────────
 I/O                            3    495ms   83.5%   165ms   8.81MiB   70.0%  2.94MiB
   ~I/O~                        3    230ms   38.8%  76.7ms   1.09MiB    8.7%   372KiB
   get element variables        2    160ms   27.0%  80.2ms   1.90MiB   15.1%   975KiB
   save solution                2    105ms   17.7%  52.5ms   5.81MiB   46.2%  2.91MiB
   save mesh                    2    250ns    0.0%   125ns     0.00B    0.0%    0.00B
 analyze solution               2   98.1ms   16.5%  49.0ms   3.76MiB   29.9%  1.88MiB
 rhs!                         101    149μs    0.0%  1.47μs   6.61KiB    0.1%    67.0B
   ~rhs!~                     101   88.1μs    0.0%   872ns   6.61KiB    0.1%    67.0B
   volume integral            101   21.4μs    0.0%   212ns     0.00B    0.0%    0.00B
   interface flux             101   10.2μs    0.0%   101ns     0.00B    0.0%    0.00B
   prolong2interfaces         101   6.71μs    0.0%  66.4ns     0.00B    0.0%    0.00B
   surface integral           101   5.52μs    0.0%  54.7ns     0.00B    0.0%    0.00B
   Jacobian                   101   4.86μs    0.0%  48.1ns     0.00B    0.0%    0.00B
   prolong2boundaries         101   3.79μs    0.0%  37.5ns     0.00B    0.0%    0.00B
   reset ∂u/∂t                101   3.58μs    0.0%  35.5ns     0.00B    0.0%    0.00B
   boundary flux              101   2.37μs    0.0%  23.5ns     0.00B    0.0%    0.00B
   source terms               101   2.25μs    0.0%  22.3ns     0.00B    0.0%    0.00B
 calculate dt                  21   2.18μs    0.0%   104ns     0.00B    0.0%    0.00B
 ────────────────────────────────────────────────────────────────────────────────────

If you change the executable name from trixi_controller_simple_c to trixi_controller_simple_f, you will get a near identical output. The corresponding source files can be found in the examples/ folder. The examples demonstrate different aspects on how to use the C and Fortran APIs of libtrixi:

  • trixi_controller_simple.(c|f90): basic usage
  • trixi_controller_mpi.(c|f90): usage in the presence of MPI
  • trixi_controller_data.(c|f90): simulation data access
  • trixi_controller_t8code.c: interacting with t8code (there is no Fortran example yet as the Fortran interface of t8code is still under development)

If you just want to test the Julia part of libtrixi, i.e., LibTrixi.jl, you can also run trixi_controller_simple.jl from Julia.

JULIA_DEPOT_PATH=<julia-depot_directory> \
LIBTRIXI_DEBUG=all \
    julia --project=<libtrixi-julia_directory>
    <install_directory>/share/libtrixi/examples/trixi_controller_simple.jl
    <install_directory>/share/libtrixi/LibTrixi.jl/examples/libelixir_tree1d_dgsem_advection_basic.jl

Note: Most auxiliary output is hidden unless the environment variable LIBTRIXI_DEBUG is set to all. Alternative values for the variable are c or julia to only show debug statements from the C or Julia part of the library, respectively. All values are case-sensitive and must be provided all lowercase.

Linking against libtrixi

Make

To use libtrixi in your program, you need to specify -I$LIBTRIXI_PREFIX/include for the include directory with header and module files, -L$LIBTRIXI_PREFIX/lib for the library directory, and -ltrixi for the library itself during your build process. Optionally, you can additionally specify -Wl,-rpath,$LIBTRIXI_PREFIX/lib such that the runtime loader knows where to find libtrixi.so. Here, $LIBTRIXI_PREFIX is the install prefix you specified during the CMake configure stage with -DCMAKE_INSTALL_PREFIX (see above).

An example Makefile is provided with examples/MakefileExternal, which can be invoked from inside the examples/ directory as

make -f MakefileExternal LIBTRIXI_PREFIX=path/to/libtrixi/prefix

to build trixi_controller_simple_f.

CMake

A CMake module for the discovery of an installed libtrixi library is provided with cmake/FindLibTrixi.cmake. Before calling find_package(LibTrixi), the CMake variable LIBTRIXI_PREFIX must be set to <install_directory>. An example CMakeLists.txt can be found in examples/external/CMakeLists.txt. To see the commands required to build an example program with this CMake project, please refer to examples/external/build.sh.

Note on thread-local storage (TLS)

On Linux and FreeBSD systems (i.e., not on macOS or Windows), Julia may internally use a faster implementation for thread-local storage (TLS), which is used whenever Julia functions such task management, garbage collection etc. are used in a multithreaded context, or when they are themselves multithreaded. To activate the fast TLS in your program, you need to add the file $LIBTRIXI_PREFIX/lib/libtrixi_tls.o to the list of files that are linked with your main program. See MakefileExternal for an example of how to do this. If you skip this step, everything will work as usual, but some things might run slightly slower.

Experimental support for direct compilation of the Julia sources

There is experimental support for compiling the Julia sources in LibTrixi.jl to a shared library with a C interface. This is possible with the use of the Julia package PackageCompiler.jl.

To try this out, perform the following steps:

  1. Initialize the project directory libtrixi-julia using libtrixi-init-julia as described above.

  2. Build

    using make

    • Go to the LibTrixi.jl/lib directory in the repository root, make sure that PROJECT_DIR (defined in Makefile) points to your libtrixi-julia directory, and call make: 
      cd LibTrixi.jl/lib
make
    • Go to the examples folder in the repository root and compile trixi_controller_simple_c: 
      cd examples
make -f MakefileCompiled LIBTRIXI_PREFIX=$PWD/../LibTrixi.jl/lib/build
      This will create a trixi_controller_simple_c file.

    using cmake

    • Add 
      -DUSE_PACKAGE_COMPILER=ON -DJULIA_PROJECT_PATH=<libtrixi-julia_directory>
      to your cmake call (see above)

  3. From inside the examples folder you should be able to run the example (in parallel) with the following command:

    mpirun -n 2 trixi_controller_simple_c \
    ../libtrixi-julia \
    ../LibTrixi.jl/examples/libelixir_p4est2d_dgsem_euler_sedov.jl

    Optionally, you can set LIBTRIXI_DEBUG=all to get some debug output along the way.

Documentation

Documentation for the current release can be found at https://trixi-framework.github.io/libtrixi, and for the current development version at https://trixi-framework.github.io/libtrixi/dev.

Referencing

If you use libtrixi in your own research or write a paper using results obtained with the help of libtrixi, you can refer to libtrixi directly as

@misc{schlottkelakemper2023libtrixi,
  title={{L}ibtrixi: {I}nterface library for using {T}rixi.jl from {C}/{C}++/{F}ortran},
  author={Schlottke-Lakemper, Michael and Geihe, Benedict and Gassner, Gregor J},
  year={2023},
  month={09},
  howpublished={\url{https://github.com/trixi-framework/libtrixi}},
  doi={10.5281/zenodo.8321803}
}

Since libtrixi is based on Trixi.jl, you should also cite Trixi.jl in this case.

Authors

Libtrixi was initiated by Benedict Geihe (University of Cologne, Germany) and Michael Schlottke-Lakemper (RWTH Aachen University/High-Performance Computing Center Stuttgart (HLRS), Germany), who are also its principal maintainers.

License

Libtrixi is licensed under the MIT license (see LICENSE.md).

Acknowledgments

This project has benefited from funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the research unit FOR 5409 "Structure-Preserving Numerical Methods for Bulk- and Interface Coupling of Heterogeneous Models (SNuBIC)" (project number 463312734).

This project has benefited from funding from the German Federal Ministry of Education and Research through the project grant "Adaptive earth system modeling with significantly reduced computation time for exascale supercomputers (ADAPTEX)" (funding id: 16ME0668K).

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Interface library for using Trixi.jl from C/C++/Fortran

trixi-framework.github.io/libtrixi/

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simulation julia amr conservation-laws numerical-library c-fortran-interface

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