f8715e31e7
Previously, local averages were calculated and used in the well equations. With this commit we add versions of defineState and calcAverages that take into account the parallel domain decomposition and calculate correct averages. Function calcAverages has a boolean template parameter indicating whether this is a parallel run. Additionally we introduce AverageIncrementCalculator with the same boolean template parameter. In a parallel run we check whether the cell is owned by the process and only in this case return an increment bigger than zero. In a sequential run (no MPI or just one process -> empty boost::any parameter) no overhead is introduced.
Open Porous Media Automatic Differentiation Library
CONTENT
opm-autodiff contains a small library for automatic differentiation built on the Eigen linear algebra package. It also contains some experimental solver and simulator prototypes demonstrating how it can be used. The most important parts are:
- AutoDiffBlock.hpp (class for AD on vectorized data with sparse jacobians)
- AutoDiffHelpers.hpp (various utilities to simplify writing solvers)
- sim_fibo_ad.cpp (prototype fully implicit black-oil simulator)
LICENSE
The library is distributed under the GNU General Public License, version 3 or later (GPLv3+).
PLATFORMS
The opm-autodiff module is designed to run on Linux platforms. It is also regularly run on Mac OS X. No efforts have been made to ensure that the code will compile and run on windows platforms.
REQUIREMENTS
opm-autodiff requires opm-core, and all its requirements (see opm-core/README). In addition, opm-autodiff requires Eigen, version 3.1 (has not been tested with later versions).
DOWNLOADING
For a read-only download: git clone git://github.com/OPM/opm-autodiff.git
If you want to contribute, fork OPM/opm-autodiff on github.
BUILDING
See build instructions in opm-core/README, or at http://opm-project.org/download.php.
DOCUMENTATION
Efforts have been made to document the code with Doxygen. In order to build the documentation, enter the command
make doc
in the topmost directory. The class AutoDiffBlock is the most important and most well-documented.
REPORTING ISSUES
Issues can be reported in the Git issue tracker online at:
https://github.com/OPM/opm-autodiff/issues
To help diagnose build errors, please provide a link to a build log together with the issue description.
You can capture such a log from the build using the `script' utility, e.g.:
LOGFILE=$(date +%Y%m%d-%H%M-)build.log ;
cmake -E cmake_echo_color --cyan --bold "Log file: $LOGFILE" ;
script -q $LOGFILE -c 'cmake ../opm-core -DCMAKE_BUILD_TYPE=Debug' &&
script -q $LOGFILE -a -c 'ionice nice make -j 4 -l 3' ||
cat CMakeCache.txt CMakeFiles/CMake*.log >> $LOGFILE
The resulting file can be uploaded to for instance gist.github.com.