Significance-driven adaptive approximate computing for energy-efficient image processing applications
Significance-driven adaptive approximate computing for energy-efficient image processing applications
复制标题
用于节能图像处理应用的显着性驱动自适应近似计算
DOI：
10.1145/3125502.3125554
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Burke D
中科院分区：
文献类型：
--
作者：
Burke D
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。结合实时性能要求，降低如此大量数据的能耗非常具有挑战性。
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.