Presentation
High Performance Computing for Different First Order Formulations of the Einstein Equations
Presenter
DescriptionThe solution of the Einstein--Euler equations by the vast majority of numerical codes is still based on traditional finite difference schemes
for the Einstein sector, while it relies on conservative schemes for the matter part. Discontinuous Galerkin (DG) schemes, in spite of many potential
advantages, have not reached a mature stage yet. I will compare performances of a new class of finite difference schemes for the full Einstein--Euler
equations with DG schemes, showing possible future directions of research that may promote DG schemes to be the dominant ones in a future with exascale hardware. In the last part of the talk I will discuss the impact of machine learning on the data analysis of gravitational waves observations.
for the Einstein sector, while it relies on conservative schemes for the matter part. Discontinuous Galerkin (DG) schemes, in spite of many potential
advantages, have not reached a mature stage yet. I will compare performances of a new class of finite difference schemes for the full Einstein--Euler
equations with DG schemes, showing possible future directions of research that may promote DG schemes to be the dominant ones in a future with exascale hardware. In the last part of the talk I will discuss the impact of machine learning on the data analysis of gravitational waves observations.
TimeWednesday, June 512:30 - 13:00 CEST
LocationHG F 26.3
Event Type
Minisymposium
Climate, Weather, and Earth Sciences
Engineering
Physics
Computational Methods and Applied Mathematics