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      An Energy-Efficient Digital ReRAM-Crossbar-Based CNN With Bitwise Parallelism

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          A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications.

          Crossbar arrays based on two-terminal resistive switches have been proposed as a leading candidate for future memory and logic applications. Here we demonstrate a high-density, fully operational hybrid crossbar/CMOS system composed of a transistor- and diode-less memristor crossbar array vertically integrated on top of a CMOS chip by taking advantage of the intrinsic nonlinear characteristics of the memristor element. The hybrid crossbar/CMOS system can reliably store complex binary and multilevel 1600 pixel bitmap images using a new programming scheme. © 2011 American Chemical Society
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            14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks

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              Dot-product engine for neuromorphic computing

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                Author and article information

                Journal
                IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
                IEEE J. Explor. Solid-State Comput. Devices Circuits
                Institute of Electrical and Electronics Engineers (IEEE)
                2329-9231
                December 2017
                December 2017
                : 3
                : 37-46
                Article
                10.1109/JXCDC.2017.2697910
                44a608fb-05c6-4abe-a2c0-2ccbd74adef9
                © 2017
                History

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