SRAM-based in-memory computing for machine learning applications

In memory computing has become popular recently. It not only could accelerate the AI application on hardware, but also could solve the Neumann problem. In this field, digital SRAM design for machine learning has received a lot of attention due to its easy design and high accuracy characteristics. In...

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Bibliografische gegevens
Hoofdauteur: Zhao, Yuqin
Andere auteurs: Kim Tae Hyoung
Formaat: Thesis-Master by Coursework
Taal:English
Gepubliceerd in: Nanyang Technological University 2022
Onderwerpen:
Online toegang:https://hdl.handle.net/10356/156761