Trixi.jl is a numerical simulation framework for adaptive, high-order discretizations of conservation laws. It has a modular architecture that allows users to easily extend its functionality and was designed to be useful to experienced researchers and new users alike. In this talk, we give an overview of Trixi’s current features, present a typical workflow for creating and running a simulation, and show how to add new capabilities for your own research projects.

This talk was given on July 30th, 2021 by Michael Schlottke-Lakemper and Hendrik Ranocha as part of JuliaCon 2021.

Talk on YouTube: https://www.youtube.com/watch?v=hoViWRAhCBE
Repository: https://github.com/trixi-framework/talk-2021-juliacon
Conference agenda entry: https://live.juliacon.org/talk/VAGFD7