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Numerical Solution of Partial Differential Equations on Parallel Computers

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Cover of 'Numerical Solution of Partial Differential Equations on Parallel Computers'

Table of Contents

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    Book Overview
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    Chapter 1 Parallel Programming Models Applicable to Cluster Computing and Beyond
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    Chapter 2 Partitioning and Dynamic Load Balancing for the Numerical Solution of Partial Differential Equations
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    Chapter 3 Graphics Processor Units: New Prospects for Parallel Computing
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    Chapter 4 Domain Decomposition Techniques
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    Chapter 5 Parallel Geometric Multigrid
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    Chapter 6 Parallel Algebraic Multigrid Methods — High Performance Preconditioners
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    Chapter 7 Parallel Mesh Generation
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    Chapter 8 The Design and Implementation of hypre, a Library of Parallel High Performance Preconditioners
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    Chapter 9 Parallelizing PDE Solvers Using the Python Programming Language
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    Chapter 10 Parallel PDE-Based Simulations Using the Common Component Architecture
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    Chapter 11 Full-Scale Simulation of Cardiac Electrophysiology on Parallel Computers
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    Chapter 12 Developing a Geodynamics Simulator with PETSc
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    Chapter 13 Parallel Lattice Boltzmann Methods for CFD Applications
Attention for Chapter 2: Partitioning and Dynamic Load Balancing for the Numerical Solution of Partial Differential Equations
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