TY - GEN
T1 - A DSP48-based reconfigurable 2-D convolver on FPGA
AU - Wang, Wulun
AU - Sun, Guolin
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Two-dimensional (2-D) convolution is a widely used operator exploited in image processing and computer vision. Many schemes of the FPGA-based 2-D convolver are focused on the buffer scheme and computational complexity. This paper optimizes the convolution unit from a unique perspective - underlying resource utilization, and presents a novel reconfigurable 2-D convolver. The purpose of this structure is to probe into the internal structure and resources of DSP blocks in FPGA and give full play to their computing power to complete convolution. This 2-D convolver can greatly reduce the consumption of logic resources without sacrificing the equivalent performance of convolution. The experiment results also demonstrate that this structure presents considerable adaptability to different sizes of images and kernels, making it suitable for various FPGA implementations.
AB - Two-dimensional (2-D) convolution is a widely used operator exploited in image processing and computer vision. Many schemes of the FPGA-based 2-D convolver are focused on the buffer scheme and computational complexity. This paper optimizes the convolution unit from a unique perspective - underlying resource utilization, and presents a novel reconfigurable 2-D convolver. The purpose of this structure is to probe into the internal structure and resources of DSP blocks in FPGA and give full play to their computing power to complete convolution. This 2-D convolver can greatly reduce the consumption of logic resources without sacrificing the equivalent performance of convolution. The experiment results also demonstrate that this structure presents considerable adaptability to different sizes of images and kernels, making it suitable for various FPGA implementations.
KW - Dig ital Signal Processing
KW - Field-programmable gate arrays (FPGAs)
KW - Re source utilization
KW - Two-dimensional (2-D) convolution
UR - https://www.scopus.com/pages/publications/85077125450
U2 - 10.1109/ICVRIS.2019.00089
DO - 10.1109/ICVRIS.2019.00089
M3 - 会议稿件
AN - SCOPUS:85077125450
T3 - Proceedings - 2019 International Conference on Virtual Reality and Intelligent Systems, ICVRIS 2019
SP - 342
EP - 345
BT - Proceedings - 2019 International Conference on Virtual Reality and Intelligent Systems, ICVRIS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Virtual Reality and Intelligent Systems, ICVRIS 2019
Y2 - 14 September 2019 through 15 September 2019
ER -