Data-Pattern enabled Self-Recovery multimedia storage system for near-threshold computing

2016 IEEE 34th International Conference on Computer Design (ICCD) Pub Date : 2016-10-01 DOI:10.1109/ICCD.2016.7753332

Na Gong, J. Edstrom, Dongliang Chen, Jinhui Wang

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引用次数: 3

Abstract

The growing popularity of powerful mobile devices such as smart phones and tablet devices has resulted in the exponential growth of demand for video applications. However, due to the intensive computation of the video decoding process, mobile video applications require frequent embedded memory access, which consumes a large amount of power and limits battery life. Various low-voltage memory techniques have been investigated to enhance the energy efficiency of multimedia processing system. Unfortunately, the existing research suffers from high implementation complexity and large area overhead. In this paper, we present a low-cost self-recovery video storage system by investigating meaningful data patterns hidden in mobile video data. Specifically, we propose a two-dimensional data-pattern approach to explore horizontal data-association and vertical data-correlation characteristics. Based on the identified optimal data patterns, we present a simple circuit-level SRAM design to enable self-recovery at low voltages. A 45nm 32kb SRAM is designed that delivers good video quality at near-threshold voltage (0.5 V) with negligible area overhead (3.97%).

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支持数据模式的自恢复多媒体存储系统，用于近阈值计算

智能手机和平板电脑等功能强大的移动设备日益普及，导致视频应用需求呈指数级增长。然而，由于视频解码过程的密集计算，移动视频应用需要频繁的嵌入式内存访问，这消耗了大量的功率，并且限制了电池寿命。为了提高多媒体处理系统的能效，人们研究了各种低压存储技术。遗憾的是，现有的研究存在实现复杂性高、面积开销大的问题。本文通过研究隐藏在移动视频数据中的有意义的数据模式，提出了一种低成本的自恢复视频存储系统。具体而言，我们提出了一种二维数据模式方法来探索水平数据关联和垂直数据关联特征。基于确定的最佳数据模式，我们提出了一种简单的电路级SRAM设计，以实现低电压下的自恢复。设计了45nm 32kb SRAM，在接近阈值电压(0.5 V)下提供良好的视频质量，面积开销(3.97%)可以忽略不计。

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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2016 IEEE 34th International Conference on Computer Design (ICCD)

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