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  4. Exploring MPEG HEVC decoder parallelism for the efficient porting onto many-core platforms
 
conference paper

Exploring MPEG HEVC decoder parallelism for the efficient porting onto many-core platforms

De Saint Jorre, Damien
•
Alberti, Claudio  
•
Mattavelli, Marco  
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2014
2014 IEEE International Conference on Image Processing (ICIP)
2014 IEEE International Conference on Image Processing (ICIP)

MPEG High Efficient Video Coding (HEVC) is likely to emerge as the video coding standard for HD and Ultra-HD TV resolutions. The two elements that push HEVC beyond the previous standards are a higher compression efficiency of about a factor of two, and the introduction of new coding tools, tiles and wavefront that are intended to ease the largely increased encoding complexity particularly for Ultra HD resolutions such as 4K and 8K. However, for HEVC decoder implementations, the achievement of the desired performance on massive parallel platforms cannot rely on the use of such optional (not enforced by MPEG profiles) tools. This paper reports results about the intrinsic parallelism of compliant HEVC decoding algorithms obtained by analyzing a dataflow implementation written using the standard language specified in ISO/IEC 23001-4 and structured attempting to maximize the algorithmic potential parallelism. The experimental results show what is the parallelism achieved by different dataflow architectures and how it can be further combined with the parallelism achieved by relying on tiles and wavefront, whenever they would be available, for porting a compliant HEVC decoder on massive parallel many-core platforms. © 2014 IEEE.

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Type
conference paper
DOI
10.1109/ICIP.2014.7025424
Author(s)
De Saint Jorre, Damien
Alberti, Claudio  
Mattavelli, Marco  
Casale-Brunet, Simone
Date Issued

2014

Publisher

IEEE

Published in
2014 IEEE International Conference on Image Processing (ICIP)
Start page

2115

End page

2119

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-MM  
Event nameEvent placeEvent date
2014 IEEE International Conference on Image Processing (ICIP)

Paris, France

27-30 October 2014

Available on Infoscience
June 26, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/115431
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