The invention belongs to the technical field of brain-like calculation and storage calculation integrated chips, and particularly discloses a
memristor differential double sub-array structure, a
convolution acceleration
system and application, the
memristor differential double sub-array structure comprises two parallel sub-arrays which are not directly and electrically connected, the two sub-arrays comprise the same number of memristors, and the memristors are arranged in the parallel sub-arrays. The memristors in the two sub-arrays are paired to form a differential unit, and each differential unit stores a weight parameter in the
convolution kernel in a differential form and participates in
convolution operation; and the memristors in the same sub-array are connected in parallel. And by combining the differential double-subarray structure and the transimpedance amplification reading circuit, the fluctuation and
noise of the device can be effectively suppressed, and the precision and stability of convolution calculation are improved. According to the method, efficient convolution operation and
feature extraction can be realized on the edge side, the method has the advantages of low
power consumption, multi-resistance-state
controllability, high integration and the like, the method is suitable for various edge intelligent scenes such as image recognition, mode detection,
video monitoring, inspection analysis and the like, and the intelligent
processing capacity of the terminal side is improved.