Numerical Solution of Partial Differential Equations on Parallel Computers
Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2006.
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| Σειρά: | Lecture Notes in Computational Science and Engineering,
51 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
