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Reliable yet high-speed memristor-based mixed-signal coarse-grained reconfigurable architecture for CNN inference acceleration.

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Title: Reliable yet high-speed memristor-based mixed-signal coarse-grained reconfigurable architecture for CNN inference acceleration.
Authors: Kazerooni-Zand, Reza1, reza.kazerooni@ut.ac.ir, Afzali-Kusha, Ali1, afzali@ut.ac.ir, Kamal, Mehdi2, mehdi.kamal@usc.edu
Source: Neurocomputing; Aug2026, Vol. 688, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193754245
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193754245
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.neucom.2026.133773
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Reliable yet high-speed memristor-based mixed-signal coarse-grained reconfigurable architecture for CNN inference acceleration.
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            NameFull: Kazerooni-Zand, Reza
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            NameFull: Afzali-Kusha, Ali
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            NameFull: Kamal, Mehdi
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          Dates:
            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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              Value: 688
          Titles:
            – TitleFull: Neurocomputing
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