Imaging and Computing Seminar
Andreas Kloeckner, CIMS, NYU
Title:
Machine-adapted Methods: High-order Discontinuous Galerkin Wave
Propagation on GPUs
Abstract:
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.