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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F11%3A00053127%21RIV12-MSM-14330___
rdf:type
n8:Vysledek skos:Concept
rdfs:seeAlso
http://asp.eurasipjournals.com/content/2011/1/120
dcterms:description
In this paper we propose a method for computing convolution of large 3D images. The convolution is performed in a frequency domain using a convolution theorem. The algorithm is accelerated on a graphic card by means of the CUDA parallel computing model. Convolution is decomposed in a frequency domain using the DIF (decimation in frequency) algorithm. We pay attention to keeping our approach efficient in terms of both time and memory consumption and also in terms of memory transfers between CPU and GPU which have a significant influence on overall computational time. We also study the implementation on multiple GPUs and compare the results between the multi-GPU and multi-CPU implementations. In this paper we propose a method for computing convolution of large 3D images. The convolution is performed in a frequency domain using a convolution theorem. The algorithm is accelerated on a graphic card by means of the CUDA parallel computing model. Convolution is decomposed in a frequency domain using the DIF (decimation in frequency) algorithm. We pay attention to keeping our approach efficient in terms of both time and memory consumption and also in terms of memory transfers between CPU and GPU which have a significant influence on overall computational time. We also study the implementation on multiple GPUs and compare the results between the multi-GPU and multi-CPU implementations.
dcterms:title
Convolution of Large 3D Images on GPU and its Decomposition Convolution of Large 3D Images on GPU and its Decomposition
skos:prefLabel
Convolution of Large 3D Images on GPU and its Decomposition Convolution of Large 3D Images on GPU and its Decomposition
skos:notation
RIV/00216224:14330/11:00053127!RIV12-MSM-14330___
n8:predkladatel
n9:orjk%3A14330
n5:aktivita
n6:S n6:P n6:Z
n5:aktivity
P(2B06052), P(LC535), S, Z(MSM0021622419)
n5:cisloPeriodika
120
n5:dodaniDat
n19:2012
n5:domaciTvurceVysledku
n21:6074812 n21:6056229
n5:druhVysledku
n11:J
n5:duvernostUdaju
n20:S
n5:entitaPredkladatele
n10:predkladatel
n5:idSjednocenehoVysledku
191966
n5:idVysledku
RIV/00216224:14330/11:00053127
n5:jazykVysledku
n12:eng
n5:klicovaSlova
convolution; decomposition; fft; gpu; dif; 3D
n5:klicoveSlovo
n13:dif n13:gpu n13:3D n13:convolution n13:decomposition n13:fft
n5:kodStatuVydavatele
US - Spojené státy americké
n5:kontrolniKodProRIV
[DAFC82687897]
n5:nazevZdroje
EURASIP Journal on Advances in Signal Processing
n5:obor
n18:IN
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
2
n5:projekt
n15:LC535 n15:2B06052
n5:rokUplatneniVysledku
n19:2011
n5:svazekPeriodika
2011
n5:tvurceVysledku
Svoboda, David Karas, Pavel
n5:zamer
n17:MSM0021622419
s:issn
1687-6172
s:numberOfPages
12
n7:organizacniJednotka
14330