In this article, a new generic higher-order finite-element framework for massively parallel simulations is presented. The modular software architecture is carefully designed to exploit the resources of modern and future supercomputers. Combining an unstructured topology with structured grid refinement facilitates high geometric adaptability and matrix-free multigrid implementations with excellent performance. Different abstraction levels and fully distributed data structures additionally ensure high flexibility, extensibility, and scalability. The software concepts support sophisticated load balancing and flexibly combining finite element spaces. Example scenarios with coupled systems of PDEs show the applicability of the concepts to performing geophysical simulations.
@article{arxiv.1805.10167,
title = {A Scalable and Modular Software Architecture for Finite Elements on Hierarchical Hybrid Grids},
author = {Nils Kohl and Dominik Thönnes and Daniel Drzisga and Dominik Bartuschat and Ulrich Rüde},
journal= {arXiv preprint arXiv:1805.10167},
year = {2018}
}
Comments
Preprint of an article submitted to International Journal of Parallel, Emergent and Distributed Systems (Taylor & Francis)