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Proceedings Paper

A GPU-accelerated toolbox for the solutions of systems of linear equations
Author(s): John R. Humphrey; Aaron L. Paolini; Daniel K. Price; Eric J. Kelmelis
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Paper Abstract

The modern graphics processing unit (GPU) found in many off-the shelf personal computers is a very high performance computing engine that often goes unutilized. The tremendous computing power coupled with reasonable pricing has made the GPU a topic of interest in recent research. An application for such power would be the solution to large systems of linear equations. Two popular solution domains are direct solution, via the LU decomposition, and iterative solution, via a solver such as the Generalized Method of Residuals (GMRES). Our research focuses on the acceleration of such processes, utilizing the latest in GPU technologies. We show performance that exceeds that of a standard computer by an order of magnitude, thus significantly reducing the run time of the numerous applications that depend on the solution of a set of linear equations.

Paper Details

Date Published: 30 April 2009
PDF: 10 pages
Proc. SPIE 7348, Modeling and Simulation for Military Operations IV, 73480Q (30 April 2009); doi: 10.1117/12.818598
Show Author Affiliations
John R. Humphrey, EM Photonics, Inc. (United States)
Aaron L. Paolini, EM Photonics, Inc. (United States)
Daniel K. Price, EM Photonics, Inc. (United States)
Eric J. Kelmelis, EM Photonics, Inc. (United States)


Published in SPIE Proceedings Vol. 7348:
Modeling and Simulation for Military Operations IV
Dawn A. Trevisani, Editor(s)

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