ADER-DG – a high-order, compute-bound scheme for future supercomputers?
When: Thursday 15th December, 4pm
Where: Imperial College London, Huxley 311
Supercomputers of the current petascale and future exascale class are posing new requirements on simulation software. Besides demands for energy efficiency or resiliency, a key requirement on exascale-ready numerical schemes is posed by the trend towards an increasing ratio between executed floating point operations and transferred bytes of memory – hence, numerical schemes with high arithmetic intensity will be privileged on future architectures.
This presentation will discuss two simulation packages that exploit the ADER-DG (Arbitrary high-order DERivative Discontinuous Galerkin) scheme. SeisSol simulates dynamic rupture processes and seismic wave propagation on adaptive tetrahedral meshes for a highly accurate physics-based modelling of earthquakes. It has achieved Multi-PFlop/s performance on several of the largest supercomputers. ExaHyPE (an Exascale Hyperbolic PDE Engine) is being developed as part of a respective Horizon 2020 to meet requirements of exascale hardware. The engine will solve hyperbolic PDEs using high-order ADER-DG on tree-structured Cartesian grids.
The talk will discuss experiences with optimising SeisSol and introduce plans and first results for the ExaHyPE engine.
Michael Bader is Associate Professor at the Department of Informatics of the Technical University of Munich. He works on hardware-aware algorithms in computational science and engineering and in high performance computing. His main focus is on the challenges imposed by the latest supercomputing platforms and the development of suitable efficient and scalable algorithms and software for simulation tasks in science and engineering. His research group is located at the Leibniz Supercomputing Center.