Significance-driven adaptive approximate computing for energy-efficient image processing applications: special session paper

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion Pub Date : 2017-10-15 DOI:10.1145/3125502.3125554

Dave Burke, Dainius Jenkus, Issa Qiqieh, R. Shafik, Shidhartha Das, Alexandre Yakovlev

引用次数: 2

Abstract

With increasing resolutions the volume of data generated by image processing applications is escalating dramatically. When coupled with real-time performance requirements, reducing energy consumption for such a large volume of data is proving challenging.

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节能图像处理应用的意义驱动自适应近似计算:特别会议论文

随着分辨率的提高，图像处理应用程序生成的数据量急剧增加。再加上实时性能要求，为如此大量的数据降低能耗被证明是具有挑战性的。

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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来源期刊

Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion

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