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Novel CNN Accelerator Design With Dual Benes Network Architecture | IEEE Journals & Magazine | IEEE Xplore

Novel CNN Accelerator Design With Dual Benes Network Architecture


Unlike the conventional GPU design, which has a complex memory hierarchy to control and share the data between different multi-processors, our architecture only has two s...

Abstract:

We presented a novel hardware architecture that uses dual Benes networks to accelerate Convolutional Neural Network (CNN) algorithms. This architecture can reduce the nee...Show More

Abstract:

We presented a novel hardware architecture that uses dual Benes networks to accelerate Convolutional Neural Network (CNN) algorithms. This architecture can reduce the need for high-speed buses and maintain a high-speed connection between execution units and memories. Also, this design can work with multiple neural network models by changing the Benes network configuration only due to the reorderability of the non-blocking networks. The proposed architecture can save the time of re-implementing the hardware design. Thus, this architecture can act as a general CNN accelerator. We successfully implemented our CNN accelerator on the Xilinx Virtex UltraScale+ VU19P and evaluated it by running the CNN model LeNet-5.
Unlike the conventional GPU design, which has a complex memory hierarchy to control and share the data between different multi-processors, our architecture only has two s...
Published in: IEEE Access ( Volume: 11)
Page(s): 59524 - 59529
Date of Publication: 13 June 2023
Electronic ISSN: 2169-3536

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