Bulk-Switching Memristor-Based Compute-In-Memory Module for Deep Neural Network Training.

Wu, Yuting; Wang, Qiwen; Wang, Ziyu; Wang, Xinxin; Ayyagari, Buvna; Krishnan, Siddarth; Chudzik, Michael; Lu, Wei D

Wu, Yuting; Wang, Qiwen; Wang, Ziyu; Wang, Xinxin; Ayyagari, Buvna; Krishnan, Siddarth; Chudzik, Michael; Lu, Wei D.

Afiliação

Wu Y; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
Wang Q; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
Wang Z; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
Wang X; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
Ayyagari B; Applied Materials, Inc., Santa Clara, CA, 95054, USA.
Krishnan S; Applied Materials, Inc., Santa Clara, CA, 95054, USA.
Chudzik M; Applied Materials, Inc., Santa Clara, CA, 95054, USA.
Lu WD; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.

Adv Mater ; 35(46): e2305465, 2023 Nov.

Article em En | MEDLINE | ID: mdl-37747134

Palavras-chave

deep neural network training; deep neural networks; in-memory computing; memristors; mixed precision training

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Adv Mater Assunto da revista: BIOFISICA / QUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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