Abstract: In this work, we propose an energy-efficient 64$\times $ 64 compute-in-memory (CIM) SRAM macro using a 7T bit-cell in 65nm CMOS UMC PDK. It supports 4-bit inputs, 4-bit weights & 4-bit ...
Abstract: Computing-in-memory (CIM) is an attractive approach for energy-efficient deep neural network (DNN) processing, especially for low-power edge devices. However, today’s typical DNNs usually ...
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