Low power SRAM-based computing-in-memory design
This paper outlines Computing-in-memory (CIM) technology's significance in overcoming memory wall challenges posed by traditional Von Neumann architecture. Its adaptability extends to diverse emerging applications, boosting energy efficiency and data processing speed. This study seeks to affirm...
Main Author: | Wang, Shuqi |
---|---|
Other Authors: | Kim Tae Hyoung |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/170672 |
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