Low GPU Occupancy Approach to Fast Arithmetic Coding in JPEG2000

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00065901" target="_blank" >RIV/00216224:14330/12:00065901 - isvavai.cz</a>
Result on the web
<a href="http://www.springerlink.com/content/k773733872742728/" target="_blank" >http://www.springerlink.com/content/k773733872742728/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-25929-6_13" target="_blank" >10.1007/978-3-642-25929-6_13</a>

Result language
angličtina
Original language name
Low GPU Occupancy Approach to Fast Arithmetic Coding in JPEG2000
Original language description
Arithmetic coding, and especially adaptive MQ-Coder of JPEG2000, is a serial process which does not match well specifics of GPUs as massively parallel processors. In this paper we study and evaluate several approaches to acceleration of MQ-Coding using commodity GPU hardware, including proposal of a new enhanced renormalization procedure. We conclude with "low occupancy approach" and 5.6--16x average speedup when compared to state of the art multi-threaded CPU implementations.
Czech name
—
Czech description
—

Project
<a href="/en/project/GD102%2F09%2FH042" target="_blank" >GD102/09/H042: Mathematical and Engineering Approaches to Developing Reliable and Secure Concurrent and Distributed Computer Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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