GPU-specific reformulations of image compression algorithms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057518" target="_blank" >RIV/00216224:14330/12:00057518 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/63839172:_____/12:00007395

Výsledek na webu

<a href="http://dx.doi.org/10.1117/12.929971" target="_blank" >http://dx.doi.org/10.1117/12.929971</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.929971" target="_blank" >10.1117/12.929971</a>

Jazyk výsledku

angličtina

Název v původním jazyce

GPU-specific reformulations of image compression algorithms

Popis výsledku v původním jazyce

Image compressions have a number of applications in various fields where the processing throughput and/or latency is a crucial attribute and the main limitation with state of the art implementations of compression algorithms. At the same time the contemporary GPUs provide a tremendous processing power applicable to the image compression acceleration but it calls for a specific algorithm design. We discuss the key components of successful GPU algorithm design and demonstrate this on JPEG2000 compressionchain, which contains several types of algorithms: from DWT which is inherently well suited to GPU, through context modeling requiring reformulation in order to perform well on GPU, to arithmetic coding which does not fit the paradigm well but can be optimized to perform faster than CPU versions. Performance evaluation of the optimized JPEG2000 chain will be used to demonstrate the importance of various aspects of GPU programming, especially with respect to real-time applications.

Název v anglickém jazyce

GPU-specific reformulations of image compression algorithms

Popis výsledku anglicky

Image compressions have a number of applications in various fields where the processing throughput and/or latency is a crucial attribute and the main limitation with state of the art implementations of compression algorithms. At the same time the contemporary GPUs provide a tremendous processing power applicable to the image compression acceleration but it calls for a specific algorithm design. We discuss the key components of successful GPU algorithm design and demonstrate this on JPEG2000 compressionchain, which contains several types of algorithms: from DWT which is inherently well suited to GPU, through context modeling requiring reformulation in order to perform well on GPU, to arithmetic coding which does not fit the paradigm well but can be optimized to perform faster than CPU versions. Performance evaluation of the optimized JPEG2000 chain will be used to demonstrate the importance of various aspects of GPU programming, especially with respect to real-time applications.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of Applications of Digital Image Processing XXXV

ISBN

9780819492166

ISSN

0277-786X

e-ISSN

—

Počet stran výsledku

8

Strana od-do

—

Název nakladatele

SPIE-INT SOC OPTICAL ENGINEERING

Místo vydání

BELLINGHAM, WA 98227-0010 USA

Místo konání akce

San Diego

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000312200600040