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

A4 Konferenspublikationer


Interna författare/redaktörer


Publikationens författare: Georgios Georgakarakos, Simon Holmbacka, Johan Lilius
Redaktörer: Sophie Cerisier, Dr. Adam Morawiec
Publiceringsår: 2016
Förläggare: IEEE
Moderpublikationens namn: Design and Architectures for Signal and Image Processing (DASIP), 2016 Conference on
ISBN: 978-1-5090-3085-9
eISBN: 979-1-0922-7915-3


Abstrakt

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

Senast uppdaterad 2020-22-01 vid 03:27