SRAM-based compute-in-memory macros for artificial intelligence applications
With the booming of artificial intelligence technology, processing of intensive data in the traditional von Neumann hardware faces numerous challenges, such as power-hungry computing and unsatisfactory processing latency. However, for edge devices, especially battery-based ones, low power consumptio...
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Main Author: | Zhang, Xin |
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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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Online Access: | https://hdl.handle.net/10356/173157 |
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Institution: | Nanyang Technological University |
Language: | English |
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