GPU Optimization of Convolution for Large 3-D Real Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU102210" target="_blank" >RIV/00216305:26230/12:PU102210 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14330/12:00057444
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-33140-4_6" target="_blank" >http://dx.doi.org/10.1007/978-3-642-33140-4_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-33140-4_6" target="_blank" >10.1007/978-3-642-33140-4_6</a>

Result language
angličtina
Original language name
GPU Optimization of Convolution for Large 3-D Real Images
Original language description
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.
Czech name
—
Czech description
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)