Quantized Domain-Wall Magnetic Tunnel Junction (DW-MTJ) Neural Networks Optimized for Rapid, Energy Efficient Edge Inference

2021 IEEE 16th Nanotechnology Materials and Devices Conference (NMDC)(2021)

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摘要
The increasing complexity of artificial intelligence (AI) models implies a need for new systems that efficiently process deep neural networks (DNNs) [1]. DNNs can efficiently be implemented using crossbars of dense nonvolatile memories (NVMs) [2]. While most DNN NVM implementations focus on ReRAM, Phase-change memory (PCM), and binary magnetic tunnel junctions, domain-wall magnetic tunnel junction...
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