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Memristive Field‐Programmable Analog Arrays for Analog Computing

Yunning Li, Wenhao Song, Zhongrui Wang, Hao Jiang, Peng Yan, Peng Lin, Can Li, Mingyi Rao, Mark Barnell, Qing Wu, Sabyasachi Ganguli, Ajit K. Roy, Qiangfei Xia, J. Joshua Yang

2022Advanced Materials34 citationsDOIOpen Access PDF

Abstract

The increasing interests in analog computing nowadays call for multipurpose analog computing platforms with reconfigurability. The advancement of analog computing, enabled by novel electronic elements like memristors, has shown its potential to sustain the exponential growth of computing demand in the new era of analog data deluge. Here, a platform of a memristive field-programmable analog array (memFPAA) is experimentally demonstrated with memristive devices serving as a variety of core analog elements and CMOS components as peripheral circuits. The memFPAA is reconfigured to implement a first-order band pass filter, an audio equalizer, and an acoustic mixed frequency classifier, as application examples. The memFPAA, featured with programmable analog memristors, memristive routing networks, and memristive vector-matrix multipliers, opens opportunities for fast prototyping analog designs as well as efficient analog applications in signal processing and neuromorphic computing.

Topics & Concepts

Neuromorphic engineeringField-programmable analog arrayReconfigurabilityAnalog multiplierAnalog signal processingMemristorAnalogue filterAnalogue electronicsAnalog image processingAnalog computerComputer scienceSignal processingElectronic engineeringAnalog signalCMOSMultiplier (economics)Field-programmable gate arrayAnalog deviceComputer architectureElectronic circuitDigital signal processingComputer hardwareElectrical engineeringBandwidth (computing)Artificial neural networkEngineeringArtificial intelligenceDigital filterTelecommunicationsImage processingImage (mathematics)MacroeconomicsBinary imageEconomicsAdvanced Memory and Neural ComputingNeural dynamics and brain functionPhotoreceptor and optogenetics research