Design and Implementation of a YOLOv4-tiny Hardware Accelerator with PYNQ-Z1

In this paper we design and implement an YOLOv4 tiny network hardware acceleration scheme based on Xilinx Zynq 7020 SOC chip following HLS approach. According to the characteristics of the network, different data transferring and caching techniques are adopted to implement different layers of the network. Experimental results on the PYNQ-Z1 development board show that the design achieves a computational performance of 42.18 GOPS with an energy efficiency ratio of 9.6 GOPS/W and an inference response time of 165 ms.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/eeice65049.2025.11034379
Citations
1
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.73
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article

Design and Implementation of a YOLOv4-tiny Hardware Accelerator with PYNQ-Z1

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1 citations
CCD and CMOS Imaging Sensors
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article

Design and Implementation of a YOLOv4-tiny Hardware Accelerator with PYNQ-Z1

Gao Jun, Yulong Liu, Wenhan Huang, Yu Zhou, Ying‐Zu Huang, Zhenya He
article en
1 citations

Abstract

In this paper we design and implement an YOLOv4 tiny network hardware acceleration scheme based on Xilinx Zynq 7020 SOC chip following HLS approach. According to the characteristics of the network, different data transferring and caching techniques are adopted to implement different layers of the network. Experimental results on the PYNQ-Z1 development board show that the design achieves a computational performance of 42.18 GOPS with an energy efficiency ratio of 9.6 GOPS/W and an inference response time of 165 ms.

Hainan Normal University (CN)
Openalex Percentile: Top 27%
CCD and CMOS Imaging Sensors
0.73
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