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In this work, we conduct research on optimizing schemes for the RRAM-based implementation of CNN. Our main achievements contain: 1) A concrete CNN circuit and corresponding operation methods are developed. 2) Quantification methods for utilizing binary or multilevel RRAM as synapses are proposed, and our CNN performs with 98% accuracy on the MNIST dataset using multilevel RRAM and 97% accuracy using...
Stacked HfOx based vertical RRAM with interface engineering for 3D cross-point architecture is fabricated using a cost-effective fabrication process. The excellent performances such as low reset current, fast switching speed, high switching endurance and disturbance immunity, good retention and self-selectivity are demonstrated in the fabricated HfOx based vertical RRAM devices. The scaling limit...
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