Analysis on scalability and energy efficiency of HEVC decoding using task-based programming model

A4 Conference proceedings


Internal Authors/Editors


Publication Details

List of Authors: Georgios Georgakarakos, Simon Holmbacka, Johan Lilius
Editors: Sophie Cerisier, Dr. Adam Morawiec
Publication year: 2016
Publisher: IEEE
Book title: Design and Architectures for Signal and Image Processing (DASIP), 2016 Conference on
ISBN: 978-1-5090-3085-9
eISBN: 979-1-0922-7915-3


Abstract

In this paper we evaluate the impact of task programming model in scalability and energy efficiency of dynamically parallel applications like HEVC decoding. We develop a task-based parallel HEVC decoding implementation supporting Tiles and Wavefront Parallel Processing. We measure and compare thread-based HEVC decoding against its alternative version supporting task-based parallelism. Results show that the task programming model can improve scalability and energy efficiency of HEVC decoding for various parallel application parameters (task dependencies, task granularity) and computing platforms ranging from server to laptop and embedded environments

Last updated on 2019-21-10 at 02:45