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