Efficient JPEG2000 EBCOT Context Modeling for Massively Parallel Architectures

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F11%3A00049671" target="_blank" >RIV/00216224:14330/11:00049671 - isvavai.cz</a>
Alternative codes found
RIV/63839172:_____/11:00007132
Result on the web
<a href="http://dx.doi.org/10.1109/DCC.2011.49" target="_blank" >http://dx.doi.org/10.1109/DCC.2011.49</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/DCC.2011.49" target="_blank" >10.1109/DCC.2011.49</a>

Result language
angličtina
Original language name
Efficient JPEG2000 EBCOT Context Modeling for Massively Parallel Architectures
Original language description
Embedded Block Coding with Optimal Truncation (EBCOT) is the fundamental and computationally very demanding part of the compression process of JPEG2000 image compression standard. In this paper, we present a reformulation of the context modeling of EBCOTthat allows full parallelization for massively parallel architectures such as GPUs with their single instruction multiple threads architecture. We prove that the reformulation is equivalent to the EBCOT specification in JPEG2000 standard. Behavior of the reformulated algorithm is demonstrated using NVIDIA CUDA platform and compared to other state-of-the-art implementations.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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