Abstract
In recent years, convolution operations often consume a lot of time and energy in deep learning algorithms, and convolution is usually used to remove noise or extract the edges of an image. However, under data-intensive conditions, frequent operations of the above algorithms will cause a significant memory/communication burden to the computing system. This paper proposes a circuit based on spin memristor cross array to solve the problems mentioned above. First, a logic switch based on spin memristors is proposed, which realizes the control of the memristor cross array. Secondly, a new type of spin memristor cross array and peripheral circuits is proposed, which realizes the multiplication and addition operation in the convolution operation and significantly alleviates the computational memory bottleneck. At last, the color image filtering and edge extraction simulation are carried out. By calculating the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) of the image result, the processing effects of different operators are compared, and the correctness of the circuit is verified.
Highlights
In emerging data-intensive applications such as deep convolutional neural networks (DCNN) [1,2], image preprocessing tends to consume a lot of time and energy
This paper proposes a generalized circuit scheme based on the filtering convolution operator and the edge extraction convolution operator to implement image processing applications on the spin memristor crossover to alleviate the storage bottleneck of data-intensive applications
All the devices used in this paper are compatible with CMOS
Summary
In emerging data-intensive applications such as deep convolutional neural networks (DCNN) [1,2], image preprocessing tends to consume a lot of time and energy. The application time of external excitation can be effectively controlled and the unnecessary energy loss in memristive circuit can be reduced. A self-renewing mask circuit is proposed in [34], which uses a multibit memristor cross array to achieve convolution operation and realizes mean filtering and edge extraction. This paper first proposes a logic switch circuit (MS) based on spin memristors, which realizes the AND gate operation to control the memristors cross array. By controlling the logic switch circuit, different numbers of convolution operators can be stored in the memristors cross array in the form of conductance.
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