Energy and area-efficient mixed-signal-based SRAM computation-in-memory for AI edge devices

The Ph.D. dissertation focuses on mixed-signal-based SRAM computation-in-memory (CIM) for artificial intelligence (AI) edge devices. CIM is an emerging approach that integrates computation capabilities into memory units, reducing data movement and enhancing performance for memory-intensive tasks lik...

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Bibliographic Details
Main Author: Jo, Yongjun
Other Authors: Kim Tae Hyoung
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181603
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Institution: Nanyang Technological University
Language: English