Abstract: The rising popularity of deep learning algorithms demands special accelerators for matrix-matrix multiplication. Most of the matrix multipliers are designed based on the systolic array ...
Abstract: We propose a novel processing-in-memory (PIM) architecture based on the voltage summation concept to accelerate the vector-matrix multiplication for neural network (NN) applications. The ...
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