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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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/173157 |