Memristive Field-Programmable Analog Arrays for Analog Computing.

FPAA VMM analog computing audio equalizer memristor

Journal

Advanced materials (Deerfield Beach, Fla.)
ISSN: 1521-4095
Titre abrégé: Adv Mater
Pays: Germany
ID NLM: 9885358

Informations de publication

Date de publication:
Sep 2023
Historique:
revised: 30 10 2022
received: 21 07 2022
medline: 16 11 2022
pubmed: 16 11 2022
entrez: 15 11 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36378155
doi: 10.1002/adma.202206648
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2206648

Subventions

Organisme : Air Force Office of Scientific Research
ID : FA9550-19-1-0213
Organisme : Air Force Research Laboratory
ID : FA8650-21-C-5405
Organisme : Air Force Research Laboratory
ID : FA8750-22-1-0501
Organisme : National Science Foundation
ID : 2023752

Informations de copyright

© 2022 The Authors. Advanced Materials published by Wiley-VCH GmbH.

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Auteurs

Yunning Li (Y)

Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.

Wenhao Song (W)

Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.

Zhongrui Wang (Z)

Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.

Hao Jiang (H)

Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.

Peng Yan (P)

Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.

Peng Lin (P)

Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.

Can Li (C)

Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.

Mingyi Rao (M)

Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.

Mark Barnell (M)

Air Force Research Lab, Information Directorate, Rome, NY, 13441, USA.

Qing Wu (Q)

Air Force Research Lab, Information Directorate, Rome, NY, 13441, USA.

Sabyasachi Ganguli (S)

Air Force Research Laboratory, Materials and Manufacturing Directorate, Wright - Patterson Air Force Base, Dayton, OH, 45433, USA.

Ajit K Roy (AK)

Air Force Research Laboratory, Materials and Manufacturing Directorate, Wright - Patterson Air Force Base, Dayton, OH, 45433, USA.

Qiangfei Xia (Q)

Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.

J Joshua Yang (JJ)

Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.

Classifications MeSH