SRAM based computing-in-memory for tiny machine learning

This dissertation investigates the potential of Computing-In-Memory (CIM) using Static Random-Access Memory (SRAM) to address the limitations of the Von Neumann architecture and to increase miniaturisation. This research aims to overcome this bottleneck by enabling in-memory computation for tiny mac...

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書目詳細資料
主要作者: Gupta, Shini
其他作者: Kim Tae Hyoung
格式: Thesis-Master by Coursework
語言:English
出版: Nanyang Technological University 2024
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在線閱讀:https://hdl.handle.net/10356/175498
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機構: Nanyang Technological University
語言: English