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

Research output: Chapter in Book/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

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
Original languageUndefined/Unknown
Title of host publicationDesign and Architectures for Signal and Image Processing (DASIP), 2016 Conference on
EditorsSophie Cerisier, Dr Adam Morawiec
PublisherIEEE
Pages
ISBN (Electronic)979-1-0922-7915-3
ISBN (Print)978-1-5090-3085-9
DOIs
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventConference on Design and Architectures for Signal and Image Processing (DASIP) - Conference on Design and Architectures for Signal and Image Processing (DASIP), 2016
Duration: 12 Oct 201614 Oct 2016

Conference

ConferenceConference on Design and Architectures for Signal and Image Processing (DASIP)
Period12/10/1614/10/16

Cite this