Analysis and Parallelization of H.264 decoder on Cell Broadband Engine Architecture

Hyunki Baik, Kue-Hwan Sihn, Yun-il Kim, Sehyun Bae, Najeong Han, H. Song
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引用次数: 34

Abstract

Emerging video coding technology like H.264/AVC achieves high compression efficiency, which enables high quality video at the same or lower bitrate. However, those advanced coding techniques come at the cost of more computational power. Developed with such multimedia applications in mind, the CELL broadband engine (BE) processor was designed as a heterogeneous on-chip multicore processor to meet the required high performance. In this paper, we analyze the computational requirements of H.264 decoder per-module basis and implement parallelized H.264 decoder on the CELL processor based on the profile result. We propose and implement a hybrid partitioning technique that combines both functional and data partitioning to avoid the dependencies imposed by H.264 decoder, and optimize it using SIMD instructions. Through experiments, the parallelized H.264 decoder runs about 3.5 times faster than the single core (PPE only) decoder, by using 1 PPE and 4 SPEs.
基于蜂窝宽带引擎架构的H.264解码器分析与并行化
H.264/AVC等新兴视频编码技术实现了高压缩效率,可以在相同或更低的比特率下实现高质量的视频。然而,这些先进的编码技术是以更多的计算能力为代价的。CELL宽带引擎(BE)处理器设计为异构片上多核处理器,以满足所需的高性能。本文分析了H.264解码器在每个模块基础上的计算需求,并根据分析结果在CELL处理器上实现了并行化的H.264解码器。为了避免H.264解码器带来的依赖性,我们提出并实现了一种功能分区和数据分区相结合的混合分区技术,并使用SIMD指令对其进行了优化。通过实验,通过使用1个PPE和4个spe,并行化的H.264解码器的运行速度比单核(仅PPE)解码器快3.5倍。
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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