FEniCS
Installing FEniCS
The following is a set of instructions for installing FEniCS 2017.2.0 and related libraries on Graham. Note that the installation should be done on a Graham login node, as it seems compute nodes on Graham are unable to clone git repos.
Step 0 (Optional): Clean out your environment
Before installing FEniCS, you might want to remove previous installations of petsc4py/FEniCS, in order to prevent conflicts when installing. Consider doing the following:
- Remove directories that contain previous installations of petsc4py/fenics. Directories can be removed by typing
rm -rf directory_name
.
- Previous installations of petsc4py/FEniCs might have data in hidden directories. Hidden directories can be seen by typing
ls -a
. Spend some time looking through hidden directories and remove anything associated with previous petsc4py/FEniCS installations.
- Check the environment variables (they can be listed with the
penv
command) and remove anything that points to previous installations of petsc4py/FEniCS.
Step 1 (Optional): Install petsc4py
Installing petsc4py is not required if you just want to use standalone FEniCS. However, petsc4py is needed in order to directly interface with PETSc, if that is something you wish to do.
To install petsc4py on Graham, first go to your home directory by typing cd $HOME
. Then, run the following script:
module purge
module load hdf5-mpi/1.8.18 boost eigen python/3.5 scipy-stack/2017b petsc/3.8.2 fftw-mpi/3.3.6 mpi4py
git clone https://bitbucket.org/petsc/petsc4py.git
cd petsc4py
git fetch && git checkout maint-3.8
python setup.py build
python setup.py install --user
export PYTHONPATH=$HOME/.local/lib/python3.5/site-packages:$PYTHONPATH
When the script completes, petsc4py should be installed. The contents of the script are based on the official petsc4py installation instructions (https://www.mcs.anl.gov/petsc/petsc4py-current/docs/usrman/install.html), so consider looking there if something goes wrong.
Step 2: Install FEniCS
To install FEniCS on Graham, first go to your home directory by typing cd $HOME
. Then, run the following script:
export PYTHONPATH=$HOME/.local/lib/python3.5/site-packages:$PYTHONPATH
module purge
module load hdf5-mpi/1.8.18 boost eigen python/3.5 scipy-stack/2017b petsc/3.8.2 fftw-mpi/3.3.6 mpi4py
mkdir fenics && cd fenics
git clone https://bitbucket.org/fenics-project/fiat.git
git clone https://bitbucket.org/fenics-project/instant.git
git clone https://bitbucket.org/fenics-project/dijitso.git
git clone https://bitbucket.org/fenics-project/ufl.git
git clone https://bitbucket.org/fenics-project/ffc.git
wget https://bitbucket.org/fenics-project/dolfin/downloads/dolfin-2017.2.0.tar.gz
tar xvfz dolfin-2017.2.0.tar.gz
mv dolfin-2017.2.0 dolfin
chmod u+w ~/fenics/*/.git/objects/pack/*
pyvenv ~/fenics
source ~/fenics/bin/activate
cd fiat && git fetch && git checkout 2017.2.0 && pip3 install . && cd -
cd instant && git fetch && git checkout 2017.2.0 && pip3 install . && cd -
cd dijitso && git fetch && git checkout 2017.2.0 && pip3 install . && cd -
cd ufl && git fetch && git checkout 2017.2.0 && pip3 install . && cd -
cd ffc && git fetch && git checkout 2017.2.0 && pip3 install . && cd -
pip3 install ply
cd dolfin
mkdir build && cd build
cmake .. -DDOLFIN_SKIP_BUILD_TESTS=true -DEIGEN3_INCLUDE_DIR=$EBROOTEIGEN/include -DCMAKE_INSTALL_PREFIX=$HOME/software/dolfin -DCMAKE_SKIP_RPATH=ON -DRT_LIBRARY=$EBROOTNIXPKGS/lib64/librt.so -DHDF5_C_LIBRARY_dl=$EBROOTNIXPKGS/lib64/libdl.so -DHDF5_C_LIBRARY_m=$EBROOTNIXPKGS/lib64/libm.so -DHDF5_C_LIBRARY_pthread=$EBROOTNIXPKGS/lib64/libpthread.so -DHDF5_C_LIBRARY_z=$EBROOTNIXPKGS/lib/libz.so
nice make -j 8 install && cd -
sed -i s'^export LD_LIBRARY_PATH=/lib^#export LD_LIBRARY_PATH=/lib^' ~/software/dolfin/share/dolfin/dolfin.conf
Once the script completes, FEniCS will be installed. To run FEniCS, use the following script:
module purge
module load hdf5-mpi/1.8.18 boost eigen python/3.5 scipy-stack/2017b petsc/3.8.2 fftw-mpi/3.3.6 mpi4py
source ~/software/dolfin/share/dolfin/dolfin.conf
source ~/fenics/bin/activate
export PYTHONPATH=$HOME/.local/lib/python3.5/site-packages:$PYTHONPATH
Upon running the above script, the FEniCS virtual environment will be activated. At this point you can simply run a python script containing FEniCS code in the usual way, i.e. by typing python3 script.py
or mpirun -np 4 python3 script.py
.
The above instructions are based on instructions from the Compute Canada wiki (https://docs.computecanada.ca/wiki/FEniCS), so consider looking there if something goes wrong.
Step 3 (Optional): Install mshr
mshr is an optional FEniCS library that provides meshing utilities. To install mshr, first make sure that you have installed FEniCS. Then, run the following script:
module purge
module load hdf5-mpi/1.8.18 boost eigen python/3.5 scipy-stack/2017b petsc/3.8.2 fftw-mpi/3.3.6 mpi4py
export CMAKE_PREFIX_PATH=/home/$USER/software/dolfin/share/dolfin/cmake/:$CMAKE_PREFIX_PATH
git clone https://bitbucket.org/fenics-project/mshr.git
cd mshr
git fetch && git checkout 2017.2.0
mkdir build
cd build
cmake .. -DCMAKE_INSTALL_PREFIX=$HOME/software/mshr -DCMAKE_BUILD_TYPE=Release -DCMAKE_SKIP_RPATH=ON -DEIGEN3_INCLUDE_DIR=$EBROOTEIGEN/include
make
make install
Once the script completes, mshr will be installed. To run FEniCS with mshr, you will now have to use the following script in your home directory:
module purge
module load hdf5-mpi/1.8.18 boost eigen python/3.5 scipy-stack/2017b petsc/3.8.2 fftw-mpi/3.3.6 mpi4py
source ~/software/dolfin/share/dolfin/dolfin.conf
source ~/fenics/bin/activate
export PYTHONPATH=$HOME/software/mshr/lib/python3.5/site-packages:$PYTHONPATH
export PYTHONPATH=$HOME/.local/lib/python3.5/site-packages:$PYTHONPATH
export LD_LIBRARY_PATH=$HOME/software/mshr/lib:$LD_LIBRARY_PATH
The above instructions are based on instructions from the Compute Canada wiki (https://docs.computecanada.ca/wiki/FEniCS), so consider looking there if something goes wrong.