Detail publikace

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

ŠIMEK, V.

Originální název

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

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This article will present the details about the acceleration of 2D wavelet-based medical data (image) compression on MATLAB with CUDA. It is obvious that the diagnostic materials (mostly as a certain type of image) are increasingly acquired in a digital format. Therefore, common need to daily manipulate huge amount of data brought about the issue of compression within a very less stipulated amount of time. Attention will be given to the acceleration processing flow which exploits the massive parallel computational power offered by the latest NVIDIA graphics processor unit (GPU). It brings a compute device that can be programmed using a C-like language using CUDA, (Compute Unified Device Architecture). In the same time, a number of attractive features can be exploited for a broad class of intensive data parallel computation tasks. The final part of discussion outlines possible directions towards future improvements of compression ratio and processing speed.

Klíčová slova

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

Autoři

ŠIMEK, V.

Rok RIV

2008

Vydáno

8. 9. 2008

Nakladatel

IEEE Computer Society

Místo

Liverpool

ISBN

978-0-7695-3325-4

Kniha

Proceedings 2nd UKSim European Symposium on Computer Modelling and Simulation

Strany od

274

Strany do

277

Strany počet

4

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"
}