Configuration approaches to improve computing efficiency of coarse-grained reconfigurable multimedia processor

Chen Yang, Leibo Liu, Yansheng Wang, S. Yin, Peng Cao, Shaojun Wei
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引用次数: 0

Abstract

This paper proposes three configuration approaches to improve computing efficiency of a coarse-grained reconfigurable array, including input data relocation, line-based context switching, and loop interval minimization. These proposed approaches fully exploit the parallelism and pipelining of the reconfigurable array, which reduce interval latency when switching the configuration contexts, and therefore greatly enhance computing efficiency. These proposed techniques are used in a coarse-grained reconfigurable multimedia system (REMUS). Measured results show that, owing to the proposed approaches, REMUS can achieve 1080p@30fps performance for H.264 high profile video decoding under 200MHz working frequency. When normalized to the same technology, REMUS outperforms XPP-III 6.98x in energy efficiency.
提高粗粒度可重构多媒体处理器计算效率的配置方法
本文提出了三种配置方法来提高粗粒度可重构阵列的计算效率,包括输入数据重定位、基于行的上下文切换和循环间隔最小化。这些方法充分利用了可重构阵列的并行性和流水线性,减少了配置上下文切换时的间隔延迟,从而大大提高了计算效率。这些技术被用于一个粗粒度的可重构多媒体系统(REMUS)。实测结果表明,在200MHz工作频率下,REMUS在H.264高分辨率视频解码中可以达到1080p@30fps的性能。当标准化到相同的技术时,REMUS的能源效率优于XPP-III的6.98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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