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Although computer networks are inherently parallel systems, the parallel execution of network simulations on interconnected processors frequently yields only limited benefits. In this thesis, methods are proposed to estimate and understand the parallelization potential of network simulations. Further, mechanisms and architectures for exploiting the massively parallel processing resources of modern graphics cards to accelerate network simulations are proposed and evaluated.
Networks --- Network Simulation --- Simulation --- Netzwerksimulation --- Parallelisierung --- GPU --- Netzwerke --- Parallelization --- GPUSimulation
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This book summarizes the found insights of grain growth behavior, of multidimensional decomposition for regular grids to efficiently parallelize computing and how to simulate recrystallization by coupling the finite element method with the phase-field method for microstructure texture analysis. The frame of the book is created by the phase-field method, which is the tool used in this work, to investigate microstructure phenomena.
Kornwachstum --- Wachstumsratenverteilung --- RekristallisationPhase-field --- Grain growth --- Recrystallization --- Parallelisierung --- Phasenfeld --- Growth rate distributions --- Parallelization
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