Storage and calculation integrated calculation unit based on memristor, array circuit and control method

Abstract

The invention provides a storage and calculation integrated calculation unit based on a memristor, an array circuit and a control method. A drain electrode of a first MOS transistor of the calculation unit is connected with a first voltage input signal, and a source electrode of a second MOS transistor of the calculation unit is connected with a second voltage input signal; the grid electrode of the first MOS tube and the grid electrode of the second MOS tube are jointly connected with a control voltage signal; the source electrode of the first MOS tube is connected with one end of the first memristor, and the drain electrode of the second MOS tube is connected with one end of the second memristor; the other end of the first memristor and the other end of the second memristor are jointly connected with a grid electrode of the fourth MOS tube; the drain electrode of the fourth MOS tube is connected with the source electrode of the third MOS tube, the source electrode of the fourth MOS tube is connected with the drain electrode of the fifth MOS tube, the source electrode of the fifth MOS tube is grounded, and the drain electrode of the third MOS tube is used as a current output end, so that the accuracy of current output by the circuit can be improved, and a pruning function of a neural network is realized on hardware.

Description

technical field [0001] The present invention relates to the technical field of integrated circuits, and in particular, to a memristor-based computing unit, an array circuit and a control method integrating storage and computing. Background technique [0002] The Von Neumann architecture is a classic structure of computers. Its operating principle is that when calculation is required, the data is first stored in the storage unit, and then the data of the storage unit is transferred to the logic unit through instructions. After the calculation is completed in the logic unit, Then store the operation result in the storage unit. However, as the data volume of deep learning tasks becomes larger and larger, using the traditional von Neumann architecture will frequently read and write memory, and the overhead of the processor frequently accessing the memory forms a memory wall. The integration of storage and computing is a solution proposed to solve the problem of the memory wall....

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a computing unit, an array circuit and a control method based on a memristor-based integrated storage and calculation to solve the problem that neural network pruning cannot be realized on hardware in the prior art

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