Imaging and Computing Seminar

Andreas Kloeckner, CIMS, NYU

Machine-adapted Methods: High-order Discontinuous Galerkin Wave Propagation on GPUs

Having recently shown that high-order unstructured discontinuous Galerkin (DG) methods are a spatial discretization that is well-matched to execution on GPUs, in this talk I will explore both core and supporting components of high-order DG wave solvers for their suitability for and performance on modern, massively parallel architectures. Components examined range from linear forward solvers and the software components needed to make them work well to shock capturing schemes and time steppers, for which I will present a selection of design considerations, algorithms, and performance data.