An Efficient High Performance Parallelization of a Discontinuous Galerkin Spectral Element Method

We describe an efficient parallelization strategy for the discontinuous Galerkin spectral element method, illustrated by a structured grid framework. Target applications are large scale DNS and LES calculations on massively parallel systems. Due to the simple and efficient formulation of the method, a parallelization aiming at one-element-per-processor calculations is feasible; a highly desired feature for emerging multi- and many-core architectures. We show scale-up tests on up to 131,000 processors.

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