文章基本信息

标题：DPR based Small Area Reconfigurable Multi-Algorithm Accelerator for IoT System
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作者：Lei Zhang ; Ning Wu ; Fen Ge 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2241
页码：61-66
出版社：Newswood and International Association of Engineers
摘要：With the development of the Internet of Things (IoT), various signal processing algorithms have been widely used in IoT devices. Convolutional neural networks (CNN), image processing algorithms and speech processing algorithms are important signal processing algorithms that play an important role in various intelligent IoT devices. In order to enable IoT devices with limited computing power to support various signal processing algorithms, In this paper, we propose a small area reconfigurable multi-algorithm accelerator to accelerate various signal processing algorithms through hardware. The accelerator realizes reconfiguration of its own structure based on Dynamic Partial Reconfiguration (DPR) function of FPGA. A SoC verification system based on Cortex-M3 is constructed to verify the performance of the designed accelerator. The Lenet-5 network, Sobel Edge Detector algorithm and FIR filtering algorithm are implemented on this accelerator. The execution time of Lenet-5 network is compared with that of Intel i5 7500, Cortex-A53 and Cortex-A7 CPU. The execution time of Sobel Edge Detector algorithm and FIR filtering algorithm is compared with software implementation of same design on Cortex-M3 core. The comparison results show that the CNN computing power of the proposed accelerator exceeds that of Cortex-A53 and Cortex-A7 at the main frequency of 50MHz. The computing time of Sobel Edge Detector algorithm and FIR filter algorithm is also reduced in comparison to the software implementation.
关键词：Multi-Algorithm Accelerator; FPGA; CNN;; IoT