W.-C. Chen, F. Huang, S. Qin, Z. Yu, Q. Lin, P. McIntyre, S. Wong, H. P. Wong
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引用次数: 2
Abstract
We present 1-FeFET-1-RRAM (1F1R) hybrid nonvolatile memory for dense embedded memory application. By allocating 2 bits each in the RRAM and FeFET, we show 4 bits/cell capability with retention over 104 seconds at 85 °C. An array of 1F1R cells enables a new compute-in-memory (CIM) concept – Masked CIM. Masked CIM can store 2× the amount of signed weights compared with traditional CIM array. Doubling synapses density allows implementing larger neural network models that is critical for applications beyond toy datasets such as MNIST or CIFAR-10.
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