Your browser doesn't support javascript.
loading
Memristive Field-Programmable Analog Arrays for Analog Computing.
Li, Yunning; Song, Wenhao; Wang, Zhongrui; Jiang, Hao; Yan, Peng; Lin, Peng; Li, Can; Rao, Mingyi; Barnell, Mark; Wu, Qing; Ganguli, Sabyasachi; Roy, Ajit K; Xia, Qiangfei; Yang, J Joshua.
Afiliação
  • Li Y; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Song W; Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
  • Wang Z; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Jiang H; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Yan P; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Lin P; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Li C; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Rao M; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Barnell M; Air Force Research Lab, Information Directorate, Rome, NY, 13441, USA.
  • Wu Q; Air Force Research Lab, Information Directorate, Rome, NY, 13441, USA.
  • Ganguli S; Air Force Research Laboratory, Materials and Manufacturing Directorate, Wright - Patterson Air Force Base, Dayton, OH, 45433, USA.
  • Roy AK; Air Force Research Laboratory, Materials and Manufacturing Directorate, Wright - Patterson Air Force Base, Dayton, OH, 45433, USA.
  • Xia Q; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
  • Yang JJ; Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Adv Mater ; 35(37): e2206648, 2023 Sep.
Article em En | MEDLINE | ID: mdl-36378155
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.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article