Framework for mapping computing-in-memory to basic neural networks
With the advent of the era of big data, the application of neural networks on edge devices has received extensive attention. However, the traditional Von Neumann architecture shows the disadvantages of high latency, low throughput, and decreasing energy efficiency in the data-intensive algorithms, s...
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| Formaat: | Thesis-Master by Coursework |
| Taal: | English |
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Nanyang Technological University
2022
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| Online toegang: | https://hdl.handle.net/10356/159014 |