Design and Performance Evaluation of Image Processing Algorithms on GPUs

In this paper, we construe key factors in design and evaluation of image processing algorithms on the massive parallel graphics processing units (GPUs) using the compute unified device architecture (CUDA) programming model. A set of metrics, customized for image processing, is proposed to quantitati...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems Jg. 22; H. 1; S. 91 - 104
Hauptverfasser:	In Kyu Park, Singhal, Nitin, Man Hee Lee, Sungdae Cho, Kim, Chris W
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2011 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Computer architecture Computer vision Concurrent computing CUDA Design engineering Document management GPGPU GPU Graphics processing unit Image processing Mathematical models parallel implementation Parallel processing Parallel programming Performance evaluation Programming Rendering Scattering Studies
ISSN:	1045-9219, 1558-2183
Online-Zugang:	Volltext
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