Abstract:A binarized neural network (BNN) accelerator based on a processing/computing-in-memory architecture using ultralow-voltage retention SRAM (ULVR-SRAM) is proposed for the energy minimum-point (EMP) operation. The BNN accelerator (BNA) macro is designed to perform stable inference operations at EMP and substantive power-gating using ULVR at an ultralow voltage (< EMP), which can be applied to fullyconnected layers with arbitrary shapes and sizes. The EMP operation of the BNA macro, which is enabled by applying t… Show more
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