Having recently shown that high-order unstructured discontinuous Galerkin (DG) methods are a discretization method for systems of hyperbolic conservation laws that is well-matched to execution on GPUs, in this talk I will explore both core and supporting components of high-order DG solvers for their suitability for and performance on modern, massively parallel architectures. Components examined range from software components facilitating implementation to strategies for automated tuning and, time permitting, numerical tweaks to the method itself. In concluding, I will present a selection of further design considerations and performance data.