Session

DescriptionThe evolution of stars is one of the keys for the understanding of the nucleosynthesis of our Universe. Given the extremely long time scales (mega- to giga-years) and the large spatial scales, studies of stellar evolution have traditionally been carried out in one spatial dimension. However, the fundamental process of convection is an inherently multidimensional phenomenon. This has led researchers to aim for multidimensional simulations of certain phases of stellar evolution where convective and turbulent processes dominate the dynamics. The availability of highly efficient computing hardware and new algorithms like high-order schemes, well-balanced discretizations and implicit time integration methods made this aim reachable in recent years. The collected understanding of the convective mixing processes during these phases is then fed back into lower dimensional simulation thereby increasing their physical fidelity. This hierarchical combination of simulation of varying dimensionality leads to highly efficient algorithms. This minisymposium brings together domain experts from astrophysics and HPC in order to discuss the current state-of-the-art and future directions for the field. In particular, the presentations will focus on the multidisciplinary challenges for astrophysics, numerical modelling and how these can be tackled on current and future heterogeneous HPC platforms.