Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6785
Main Title: Parallel HEVC Decoding on Multi- and Many-core Architectures
Subtitle: A Power and Performance Analysis
Author(s): Chi, Chi Ching
Álvarez-Mesa, Mauricio
Lucas, Jan
Juurlink, Ben
Schierl, Thomas
Type: Article
Language Code: en
Abstract: The Joint Collaborative Team on Video Decoding is developing a new standard named High Efficiency Video Coding (HEVC) that aims at reducing the bitrate of H.264/AVC by another 50 %. In order to fulfill the computational demands of the new standard, in particular for high resolutions and at low power budgets, exploiting parallelism is no longer an option but a requirement. Therefore, HEVC includes several coding tools that allows to divide each picture into several partitions that can be processed in parallel, without degrading the quality nor the bitrate. In this paper we adapt one of these approaches, the Wavefront Parallel Processing (WPP) coding, and show how it can be implemented on multi- and many-core processors. Our approach, named Overlapped Wavefront (OWF), processes several partitions as well as several pictures in parallel. This has the advantage that the amount of (thread-level) parallelism stays constant during execution. In addition, performance and power results are provided for three platforms: a server Intel CPU with 8 cores, a laptop Intel CPU with 4 cores, and a TILE-Gx36 with 36 cores from Tilera. The results show that our parallel HEVC decoder is capable of achieving an average frame rate of 116 fps for 4k resolution on a standard multicore CPU. The results also demonstrate that exploiting more parallelism by increasing the number of cores can improve the energy efficiency measured in terms of Joules per frame substantially.
URI: https://depositonce.tu-berlin.de//handle/11303/7571
http://dx.doi.org/10.14279/depositonce-6785
Issue Date: 2013
Date Available: 12-Apr-2018
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): HEVC
video coding
parallel processing
power analysis
real-time 4k
UHD
License: http://rightsstatements.org/vocab/InC/1.0/
Journal Title: Journal of signal processing systems
Publisher: Springer
Publisher Place: Norwell, Mass.
Volume: 71
Issue: 3
Publisher DOI: 10.1007/s11265-012-0714-2
Page Start: 247
Page End: 260
EISSN: 1939-8115
ISSN: 1939-8018
Appears in Collections:FG Architektur eingebetteter Systeme » Publications

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