Conference paper

KARAS Pavel, SVOBODA David and ZEMČÍK Pavel. GPU Optimization of Convolution for Large 3-D Real Images. In: Proceedings of ACVIS 2012. Heidelberg: Springer Verlag, 2012, pp. 59-71. ISBN 978-3-642-33139-8.
Publication language:english
Original title:GPU Optimization of Convolution for Large 3-D Real Images
Title (cs):Optimalizace konvoluce velkých reálných 3D obrazů na GPU
Proceedings:Proceedings of ACVIS 2012
Conference:Advanced Concepts for Intelligent Vision Systems (ACIVS) 2012
Place:Heidelberg, DE
Publisher:Springer Verlag
gpu, convolution, 3-D, image processing
In this paper, we propose a method for computing convolution of large 3-D images with respect to real signals. The convolution is performed in a frequency domain using a convolution theorem. Due to properties of real signals, the algorithm can be optimized so that both time and the memory consumption are halved when compared to complex signals of the same size. Convolution is decomposed in a frequency domain using the decimation in frequency (DIF) algorithm. The algorithm is accelerated on a graphics hardware by means of the CUDA parallel computing model, achieving up to 10x speedup with a single GPU over an optimized implementation on a quad-core CPU.
   author = {Pavel Karas and David Svoboda and Pavel
   title = {GPU Optimization of Convolution for Large 3-D Real
   pages = {59--71},
   booktitle = {Proceedings of ACVIS 2012},
   year = 2012,
   location = {Heidelberg, DE},
   publisher = {Springer Verlag},
   ISBN = {978-3-642-33139-8},
   doi = {10.1007/978-3-642-33140-4_6},
   language = {english},
   url = {}

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