Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Implementation of algebraic procedures on the GPU using CUDA architecture on the example of generalized eigenvalue problem

Implementation of algebraic procedures on the GPU using CUDA architecture on the example of... Abstract The ready to use set of functions to facilitate solving a generalized eigenvalue problem for symmetric matrices in order to efficiently calculate eigenvalues and eigenvectors, using Compute Unified Device Architecture (CUDA) technology from NVIDIA, is provided. An integral part of the CUDA is the high level programming environment enabling tracking both code executed on Central Processing Unit and on Graphics Processing Unit. The presented matrix structures allow for the analysis of the advantages of using graphics processors in such calculations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Open Computer Science de Gruyter

Implementation of algebraic procedures on the GPU using CUDA architecture on the example of generalized eigenvalue problem

Download PDF
12 pages

Loading next page...
 
/lp/de-gruyter/implementation-of-algebraic-procedures-on-the-gpu-using-cuda-3g6bFMCip9

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
de Gruyter
Copyright
Copyright © 2016 by the
eISSN
2299-1093
DOI
10.1515/comp-2016-0006
Publisher site
See Article on Publisher Site

Abstract

Abstract The ready to use set of functions to facilitate solving a generalized eigenvalue problem for symmetric matrices in order to efficiently calculate eigenvalues and eigenvectors, using Compute Unified Device Architecture (CUDA) technology from NVIDIA, is provided. An integral part of the CUDA is the high level programming environment enabling tracking both code executed on Central Processing Unit and on Graphics Processing Unit. The presented matrix structures allow for the analysis of the advantages of using graphics processors in such calculations.

Journal

Open Computer Science – de Gruyter

Published: May 13, 2016

There are no references for this article.