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

Georgios Georgakarakos, Simon Holmbacka, J. Lilius
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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.
基于任务编程模型的HEVC解码可扩展性和能效分析
本文评估了任务规划模型对HEVC解码等动态并行应用的可扩展性和能效的影响。我们开发了一个基于任务的并行HEVC解码实现,支持tile和波前并行处理。我们测量并比较了基于线程的HEVC解码与支持基于任务的并行性的替代版本。结果表明,任务编程模型可以提高HEVC解码的可扩展性和能效,适用于从服务器到笔记本电脑和嵌入式环境的各种并行应用参数(任务依赖关系、任务粒度)和计算平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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