GPU computing with Kaczmarz’s and other iterative algorithms for linear systems
University of Illinois Urbana-Champaign, Department of Industrial and Enterprise Systems Engineering, Urbana, IL 61801, United States
Parallel Computing, Volume 36, Issues 5-6, June 2010, Pages 215-231 (17 December 2009)
@article{elble2010gpu,
title={GPU computing with Kaczmarz’s and other iterative algorithms for linear systems},
author={Elble, J.M. and Sahinidis, N.V. and Vouzis, P.},
journal={Parallel Computing},
volume={36},
number={5-6},
pages={215–231},
issn={0167-8191},
year={2010},
publisher={Elsevier}
}
The graphics processing unit (GPU) is used to solve large linear systems derived from partial differential equations. The differential equations studied are strongly convection-dominated, of various sizes, and common to many fields, including computational fluid dynamics, heat transfer, and structural mechanics. The paper presents comparisons between GPU and CPU implementations of several well-known iterative methods, including Kaczmarz
November 22, 2010 by hgpu
