Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators

© 2019 IEEE. This paper describes various design considerations for deep neural networks that enable them to operate efficiently and accurately on processing-in-memory accelerators. We highlight important properties of these accelerators and the resulting design considerations using experiments cond...

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Bibliographic Details
Main Authors: Yang, Tien-Ju (Author), Sze, Vivienne (Author)
Other Authors: Massachusetts Institute of Technology. Microsystems Technology Laboratories (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-11-15T20:37:23Z.
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