Table of Contents

Parallel Computing.- Parallel Programming Models Applicable to Cluster Computing and Beyond.- Partitioning and Dynamic Load Balancing for the Numerical Solution of Partial Differential Equations.- Graphics Processor Units: New Prospects for Parallel Computing.- Parallel Algorithms.- Domain Decomposition Techniques.- Parallel Geometric Multigrid.- Parallel Algebraic Multigrid Methods — High Performance Preconditioners.- Parallel Mesh Generation.- Parallel Software Tools.- The Design and Implementation of hypre, a Library of Parallel High Performance Preconditioners.- Parallelizing PDE Solvers Using the Python Programming Language.- Parallel PDE-Based Simulations Using the Common Component Architecture.- Parallel Applications.- Full-Scale Simulation of Cardiac Electrophysiology on Parallel Computers.- Developing a Geodynamics Simulator with PETSc.- Parallel Lattice Boltzmann Methods for CFD Applications.