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 language | Undefined/Unknown |
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Title of host publication | Design and Architectures for Signal and Image Processing (DASIP), 2016 Conference on |
Editors | Sophie Cerisier, Dr Adam Morawiec |
Publisher | IEEE |
Pages | – |
ISBN (Electronic) | 979-1-0922-7915-3 |
ISBN (Print) | 978-1-5090-3085-9 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A4 Article in a conference publication |
Event | Conference 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 2016 → 14 Oct 2016 |
Conference
Conference | Conference on Design and Architectures for Signal and Image Processing (DASIP) |
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Period | 12/10/16 → 14/10/16 |