S4: Stanford Stratified Structure Solver (http://fan.group.stanford.edu/S4/)
A program for computing electromagnetic fields in periodic, layered structures, developed by Victor Liu (victorliu@alumni.stanford.edu) of the Fan group in the Stanford Electrical Engineering Department.
In principle you should be able to install this on Windows / OS X / Linux using conda and 'conda install -c marcus-o s4'. Install in a new environment to avoid incompatabilities. I don't have a large test base, so I would appreciate if you let me know if it works (marcus.ossiander at gmail) or not, then I'll try to help.
I was able to compile using conda build on Windows (Visual Studio console), OS X (clang) and Ubuntu (gcc) using the makefiles in conda_recipes using 'conda build s4' in conda_recipes. For high performance computing you might want to compile yourself using the makefiles in makefiles (see below).
git clone https://github.com/phoebe-p/S4
cd S4
make boost
make S4_pyext
sudo apt install make
sudo apt install git
sudo apt install python3-pip
sudo pip3 install numpy matplotlib scipy
sudo apt-get install python3-tk
sudo apt-get install libopenblas-dev
sudo apt-get install libfftw3-dev
sudo apt-get install libsuitesparse-dev
- libopenblas installs OpenBLAS, to satisfy the LAPACK and BLAS requirements
- lib fftw3 install FFTW3, to satisfy the FFTW requirements
- libsuitesparse install libraries to satisdy CHOLMOD & related requirements
If you have multiple Python versions, you make need to modify the S4_pyext part of the Makefile:
pip3 install --upgrade ./
to e.g.:
[path of target python or virtual environment] setup.py install
sajidmc: The MakefileHPC is created to compile the S4 in HPC environment without root access. Also added an example for python extension testing:
Check Wiki for details: https://github.com/sajidmc/S4/wiki Example result: https://raw.githubusercontent.com/sajidmc/S4/master/examples/bontempi_et_al_Nanoscale_2017.png
