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Reducing DRAM Image Data Access Energy Consumption in Video Processing

机译:减少视频处理中的DRAM图像数据访问能耗

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This paper presents domain-specific techniques to reduce DRAM energy consumption for image data access in video processing. In mobile devices, video processing is one of the most energy-hungry tasks, and DRAM image data access energy consumption becomes increasingly dominant in overall video processing system energy consumption. Hence, it is highly desirable to develop domain-specific techniques that can exploit unique image data access characteristics to improve DRAM energy efficiency. Nevertheless, prior efforts on reducing DRAM energy consumption in video processing pale in comparison with that on reducing video processing logic energy consumption. In this work, we first apply three simple yet effective data manipulation techniques that exploit image data spatial/temporal correlation to reduce DRAM image data access energy consumption, then propose a heterogeneous DRAM architecture that can better adapt to unbalanced image access in most video processing to further improve DRAM energy efficiency. DRAM modeling and power estimation have been carried out to evaluate these domain-specific design techniques, and the results show that they can reduce DRAM energy consumption by up to 92%.
机译:本文提出了特定领域的技术,以减少视频处理中图像数据访问时的DRAM能耗。在移动设备中,视频处理是最耗能的任务之一,而DRAM图像数据访问能耗在整个视频处理系统能耗中日益占主导地位。因此,非常需要开发可以利用独特的图像数据访问特性来提高DRAM能量效率的领域特定技术。然而,与减少视频处理逻辑能耗相比,减少视频处理中DRAM能耗的现有努力显得苍白。在这项工作中,我们首先应用三种简单而有效的数据处理技术,这些技术利用图像数据的空间/时间相关性来减少DRAM图像数据访问的能耗,然后提出一种异构DRAM架构,该架构可以更好地适应大多数视频处理中的不平衡图像访问。进一步提高DRAM的能效。进行了DRAM建模和功耗估算,以评估这些特定于领域的设计技术,结果表明,它们可以将DRAM能耗降低多达92%。

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