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NNPIM: A Processing In-Memory Architecture for Neural Network Acceleration

(2019) Saransh Gupta et al.   IEEE TRANSACTIONS ON COMPUTERS

TIME:A Training-in-memory Architecture for RRAM-based Deep Neural Networks

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Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications

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NVSim: A Circuit-Level Performance, Energy, and Area Model for Emerging Nonvolatile Memory

(2012) Xiangyu Dong et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

Analysis of Power Consumption and Linearity in Capacitive Digital-to-Analog Converters Used in Successive Approximation ADCs

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Resistive Random Access Memory (ReRAM) Based on Metal Oxides

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