在能源和尺寸受限的系统中实现sobel过滤器的节能平台

2015 IEEE 3rd Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE) Pub Date : 2015-11-01 DOI:10.1109/AIEEE.2015.7367310

Rokas Jurevičius, Virginijus Marcinkevicius

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引用次数: 2

摘要

为一个非常有限的小型无人机平台设计一个高性能和节能的图像处理解决方案是非常具有挑战性的。我们通过研究具有高性能计算能力的低功耗(10瓦以下)和小尺寸(略大于信用卡)嵌入式平台来解决这个问题。图像处理中使用的Sobel滤波算法将使用不同的嵌入式平台和并行计算框架进行基准测试，以评估能耗和图像处理性能，从而简化软件工程师的设计选择。研究结果表明，在1080p分辨率图像上计算Sobel滤波器时，使用Mali T764 GPU的Radxa Rock2平台比使用16核Epiphany协处理器的parallelella平台节能6.85倍，性能提高3.7倍。

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Energy efficient platform for sobel filter implementation in energy and size constrained systems

Designing a high performance and energy efficient image processing solution for a very limited platform of a small UAV (Unmanned Air Vehicle) is very challenging. We address this issue by conducting a research of low power (under 10 Watt) and small sized (slightly larger than a credit card) embedded platforms with high performance computing capabilities. Sobel filter algorithm used in image processing will be benchmarked using different embedded platforms and frameworks of parallel computing to evaluate energy consumption and image processing performance, thus easing the design selections for a software engineer. The research results show, that Radxa Rock2 platform using Mali T764 GPU appeared to be 6.85x more energy efficient and 3.7x times better performing than Parallella platform using 16 core Epiphany co-processor when computing Sobel filter on 1080p resolution image.

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2015 IEEE 3rd Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)

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