Analysis on scalability and energy efficiency of HEVC decoding using task-based programming model
Autor: | Simon Holmbacka, Johan Lilius, Georgios Georgakarakos |
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Rok vydání: | 2016 |
Předmět: |
020203 distributed computing
Computer science 02 engineering and technology Parallel computing Yarn Thread (computing) Instruction set visual_art Scalability 0202 electrical engineering electronic engineering information engineering Programming paradigm visual_art.visual_art_medium 020201 artificial intelligence & image processing Granularity Decoding methods Efficient energy use |
Zdroj: | DASIP |
Popis: | 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. |
Databáze: | OpenAIRE |
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