Detail publikačního výsledku

GPU Acceleration of 2D-DWT Image Compression in MATLAB with CUDA

ŠIMEK, V.

Original Title

GPU Acceleration of 2D-DWT Image Compression in MATLAB with CUDA

English Title

GPU Acceleration of 2D-DWT Image Compression in MATLAB with CUDA

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

Thisarticle will present the details about the acceleration of 2D wavelet-basedmedical data (image) compression on MATLAB with CUDA. It is obvious that thediagnostic materials (mostly as a certain type of image) are increasinglyacquired in a digital format. Therefore, common need to daily manipulate hugeamount of data brought about the issue of compression within a very lessstipulated amount of time. Attention will be given to the accelerationprocessing flow which exploits the massive parallel computational power offered by the latest NVIDIA graphicsprocessor unit (GPU). It brings a compute device that can be programmed using aC-like language using CUDA, (Compute Unified Device Architecture). In thesame time, a number of attractive features can be exploited for a broad classof intensive data parallel computation tasks. The final part of discussion outlines possible directionstowards future improvements of compression ratio and processing speed.

English abstract

Thisarticle will present the details about the acceleration of 2D wavelet-basedmedical data (image) compression on MATLAB with CUDA. It is obvious that thediagnostic materials (mostly as a certain type of image) are increasinglyacquired in a digital format. Therefore, common need to daily manipulate hugeamount of data brought about the issue of compression within a very lessstipulated amount of time. Attention will be given to the accelerationprocessing flow which exploits the massive parallel computational power offered by the latest NVIDIA graphicsprocessor unit (GPU). It brings a compute device that can be programmed using aC-like language using CUDA, (Compute Unified Device Architecture). In thesame time, a number of attractive features can be exploited for a broad classof intensive data parallel computation tasks. The final part of discussion outlines possible directionstowards future improvements of compression ratio and processing speed.

Keywords

GPU, CUDA, 2D wavelet transform, image compression, Matlab

Key words in English

GPU, CUDA, 2D wavelet transform, image compression, Matlab

Authors

ŠIMEK, V.

RIV year

2010

Released

08.09.2008

Publisher

IEEE Computer Society

Location

Liverpool

ISBN

978-0-7695-3325-4

Book

Proceedings 2nd UKSim European Symposium on Computer Modelling and Simulation

Pages from

274

Pages to

277

Pages count

4

Full text in the Digital Library

http://hdl.handle.net/

BibTex

@inproceedings{BUT32107,
  author="Václav {Šimek}",
  title="GPU Acceleration of 2D-DWT Image Compression in MATLAB with CUDA",
  booktitle="Proceedings 2nd UKSim European Symposium on Computer Modelling and Simulation",
  year="2008",
  pages="274--277",
  publisher="IEEE Computer Society",
  address="Liverpool",
  isbn="978-0-7695-3325-4"
}