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Klimach, Harald: Parallel multi-scale simulations with octrees and coupled applications. 2016
Inhalt
Title
Zusammenfassung
Abstract
Contents
Nomenclature
1 Introduction
1.1 State of the Art in Coupling Techniques
1.2 Approach to the Coupling Scheme
1.3 Parallel Processing
2 Considered Equation Systems
2.1 Navier-Stokes Equations
2.2 Euler Equations
2.3 Linearized Euler Equations
2.4 Maxwell’s Equations
2.5 Review and Relevance of the Considered Equations
3 Deployed Numerical Methods and Their Parallelization
3.1 Time Integration
3.2 Cartesian Structured Meshes
3.3 Method of Finite Volumes
3.4 Discontinuous Galerkin Finite Element Method
3.5 The PNPM Scheme
4 Scalable Unstructured Solver
4.1 Requirements by the Numerical Scheme
4.2 Distributed Mesh Handling
4.3 Distributed WENO Stencil Search
4.4 Tracking Changes for Parallel Debugging
5 Single Core Optimization Strategies
5.1 Vectorization
5.2 Importance of Visibility of Data Independence
5.3 Exploiting the Memory Hierarchy
5.4 Vectorization of the Cauchy-Kowalevsky Procedure
5.5 Machine Comparison With APES
6 Scalable Distributed Coupling Method
6.1 Point Localization in Arbitrary Polyhedrons
6.2 Distributed Coupling Scheme
6.3 Coupling Across Different Machines with PACX-MPI
6.4 Concluding Remarks on the Coupling Mechanism
7 Distributed Octree Mesh Infrastructure
7.1 General Relevance of the Approach for ComplexGeometries
7.2 Octree Meshes in the Solvers
7.3 Introduction of the Common TreElM Library
7.4 Distributed Octree
7.5 TreElM File Format
7.6 Overview to the Implementation of the APESFramework
8 Generating the Octree Mesh
8.1 Related Work
8.2 The Seeder Mesh Generator
8.3 Generation of Polynomial Geometry Approximations
8.4 Numerical Properties
8.5 Mesh Generation Summary and Future Work
9 Results with Ateles
9.1 High-Order Efficiency
9.2 Scalability of Ateles
9.3 Seeder Generated Material for Electrodynamics
10 Future Work and Summary
10.1 Summary
10.2 Future Work
Bibliography
List of Figures
List of Tables