The pursuit of high-performance and energy-efficient computing for data-intensive algorithms such as deep neural networks (DNN) opens up exciting opportunities for emerging non-volatile memories (NVM) ...
This paper discusses three basic blocks for the inference of convolutional neural networks (CNNs). Pyramid Vector Quantization [1] (PVQ) is discussed as an effective quantizer for CNNs weights ...
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