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http://dx.doi.org/10.14372/IEMEK.2013.8.3.171

Implementation and Performance Evaluation of the Faddev-Leverrier Algorithm using GPGPU  

Park, Yong-Hun (University of Ulsan)
Kim, Cheol-Hong (Chonnam National University)
Kim, Jong-Myon (University of Ulsan)
Publication Information
IEMEK Journal of Embedded Systems and Applications / v.8, no.3, 2013 , pp. 171-178 More about this Journal
Abstract
In this paper, we implement the Faddev-Leverier algorithm using GPGPU (General-Purpose Graphics Processing Unit) to accelerate singular value decomposition. In addition, we compare the performance of the algorithm using CPU and CPU plus GPGPU for eleven ${\times}n$ matrix sizes in order to decompose singular values, where =4, 8, 16, 32, 64, 128, 256, 512, 1,024, 2,048, and 4,096. Experimental results indicate that CPU achieves better performance than CPU plus GPGPU for $n{\leq}64$ because of a large number of read and write operations between CPU and GPGPU. However, CPU plus GPGPU outperforms CPU exponentially in the execution time for $n{\geq}64$.
Keywords
GPGPU; OpenCL; Singular value decomposition; Faddev-Leverrier algorithm;
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Times Cited By KSCI : 1  (Citation Analysis)
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