This compact yet thorough tutorial is the perfect introduction to the basic concepts of solving partial differential equations (PDEs) using parallel numerical methods. In just eight short chapters, the authors provide readers with enough basic knowledge of PDEs, discretization methods, solution techniques, parallel computers, parallel programming, and the run-time behavior of parallel algorithms to allow them to understand, develop, and implement parallel PDE solvers. Examples throughout the book are intentionally kept simple so that the parallelization strategies are not dominated by technical details. A Tutorial on Elliptic PDE Solvers and Their Parallelization is a valuable aid for learning about the possible errors and bottlenecks in parallel computing. One of the highlights of the tutorial is that the course material can run on a laptop, not just on a parallel computer or cluster of PCs, thus allowing readers to experience their first successes in parallel computing in a relatively short amount of time.
Craig C. Douglas is Professor of Computer Science and Mechanical Engineering and Associate Director of the Center for Computational Sciences at the University of Kentucky. He is also Senior Research Scientist of Computer Science at Yale University. Gundolf Haase is a Professor at the Institute of Computational Mathematics at the Johannes Kepler University of Linz, Austria. Ulrich Langer is Head of the Institute of Computational Mathematics at the Johannes Kepler University of Linz, Austria.
List of figures; List of algorithms; Abbreviations and notation; Preface; Chapter 1: Introduction; Chapter 2: A simple example; Chapter 3: Introduction to parallelism; Chapter 4: Galerkin finite element discretization of elliptic partial differential equations; Chapter 5: Basic numerical routines in parallel; Chapter 6: Classical solvers; Chapter 7: Multigrid methods; Chapter 8: Problems not addressed in this book; Appendix: Internet addresses; Bibliography; Index.
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- ID: 9780898715415
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