Abstract: Hardware neural networks (HNNs) based on crossbar arrays are expected to be energy-efficient computing architectures for solving complex tasks due to their small feature sizes. Although ...
Abstract: This research presents an innovative FPGA implementation of a $128 \times 128$ convolution systolic array architecture, optimized for image processing applications. The core of this design ...
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