DocumentCode :
3544371
Title :
Preliminary implementation of VQ image coding using GPGPU
Author :
Wakatani, Akiyoshi
Author_Institution :
Konan Univ., Konan, Japan
fYear :
2010
fDate :
9-13 Jan. 2010
Firstpage :
89
Lastpage :
90
Abstract :
GPGPU (general purpose computing on graphic processing unit) attracts a great deal of attention, that is used for general-purpose computations like numerical calculations as well as graphic processing. In this paper, as an example of hierarchical clustering algorithms, we evaluate PNN (pairwise nearest neighbor) on GPUs by using CUDA (compute unified device architecture). We also evaluate it from the viewpoint of the power consumption.
Keywords :
coprocessors; image coding; vector quantisation; CUDA; GPGPU; VQ image coding; compute unified device architecture; general purpose computing on graphic processing; hierarchical clustering algorithms; numerical calculations; pairwise nearest neighbor; power consumption; vector quantization; Clocks; Clustering algorithms; Computer architecture; Graphics; Image coding; Internet; Nearest neighbor searches; Pipelines; Streaming media; Yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2010 Digest of Technical Papers International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-4314-7
Electronic_ISBN :
978-1-4244-4316-1
Type :
conf
DOI :
10.1109/ICCE.2010.5418955
Filename :
5418955
Link To Document :
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