Chapter 44. A GPU Framework for Solving Systems of Linear Equations
Jens KrügerTechnische Universität München
Rüdiger WestermannTechnische Universität München
Overview
The development of numerical techniques for solving partial differential equations (PDEs) is a traditional subject in applied mathematics. These techniques have a variety of applications in physics-based simulation and modeling, geometry processing, and image filtering, and they have been frequently employed in computer graphics to provide realistic simulation of real-world phenomena.
One of the basic methods to solve a PDE is to transform it into a large linear system of equations via discretization. This system can then be solved using linear algebra operations.
In this chapter, we ...
Get GPU Gems 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
