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

Georgios Georgakarakos, Simon Holmbacka, Johan Lilius

Forskningsoutput: Kapitel i bok/konferenshandlingKonferensbidragVetenskapligPeer review

1 Citeringar (Scopus)

Sammanfattning

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
OriginalspråkOdefinierat/okänt
Titel på värdpublikationDesign and Architectures for Signal and Image Processing (DASIP), 2016 Conference on
RedaktörerSophie Cerisier, Dr Adam Morawiec
FörlagIEEE
Sidor
ISBN (elektroniskt)979-1-0922-7915-3
ISBN (tryckt)978-1-5090-3085-9
DOI
StatusPublicerad - 2016
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangConference on Design and Architectures for Signal and Image Processing (DASIP) - Conference on Design and Architectures for Signal and Image Processing (DASIP), 2016
Varaktighet: 12 okt. 201614 okt. 2016

Konferens

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

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