Authors: Adrian Oeftiger and Martin Schwinzerl

A talk on the PyHEP'20, recorded and published on Youtube. Find the indico time table here. See also the rendered talk slides on github.

To run the notebook talk.ipynb, you will need the following packages

• numpy
• scipy
• matplotlib (& seaborn)
• pycuda
• scikit-cuda (skcuda)
• sixtracklib
• PyHEADTAIL (on develop branch as of 17.07.2020)

... and preferably have an NVIDIA GPU available and CUDA installed ;-)

(For the openCL demo of SixTrackLib you will need to compile it with openCL support (and correspondingly have an openCL platform installed on your environment). It is not a crucial part of the talk though, but do make sure you compile with CUDA support in SixTrackLib's Settings.cmake file.)