June 8-12, 2020
The goal of this workshop is to discuss novel parallel-in-time numerical methods for solving time-dependent partial differential equations (PDEs). These methods have the potential to speed up complex simulations, such as weather prediction or the simulation of a beating human heart. Their appropriate mathematical treatment requires the combined use of
advanced methodologies from the theory of PDEs in a functional analytic setting, numerical discretization and integration techniques, convergence analyses of iterative methods, as well as the development and implementation of these new parallel algorithms. The conference topic on parallel time integration is both timely and important.