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      A Scalable and Modular Software Architecture for Finite Elements on Hierarchical Hybrid Grids

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          Abstract

          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.

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          Basic Linear Algebra Subprograms for Fortran Usage

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            A generic grid interface for parallel and adaptive scientific computing. Part I: abstract framework

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              A Parallel Algorithm for Multilevel Graph Partitioning and Sparse Matrix Ordering

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                Author and article information

                Journal
                25 May 2018
                Article
                1805.10167
                fb3f68ee-129f-4d42-a024-497d9617c05d

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                Preprint of an article submitted to International Journal of Parallel, Emergent and Distributed Systems (Taylor & Francis)
                cs.MS cs.DC

                Mathematical software,Networking & Internet architecture
                Mathematical software, Networking & Internet architecture

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