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

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

1 Sitaatiot (Scopus)

Abstrakti

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
AlkuperäiskieliEi tiedossa
OtsikkoDesign and Architectures for Signal and Image Processing (DASIP), 2016 Conference on
ToimittajatSophie Cerisier, Dr Adam Morawiec
KustantajaIEEE
Sivut
ISBN (elektroninen)979-1-0922-7915-3
ISBN (painettu)978-1-5090-3085-9
DOI - pysyväislinkit
TilaJulkaistu - 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaConference on Design and Architectures for Signal and Image Processing (DASIP) - Conference on Design and Architectures for Signal and Image Processing (DASIP), 2016
Kesto: 12 lokakuuta 201614 lokakuuta 2016

Konferenssi

KonferenssiConference on Design and Architectures for Signal and Image Processing (DASIP)
Ajanjakso12/10/1614/10/16

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