Optimizing Memristor-Based Synaptic Devices for Enhanced Energy Efficiency and Accuracy in Neuromorphic Machine Learning
The traditional Von Neumann computing architecture, which necessitates data transfer between external memory and the processor, incurs significant energy and time costs when running deep learning (DL) and machine learning (ML) architectures. The primary issue with the energy and time efficiency of t...
| প্রধান লেখক: | , , |
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| বিন্যাস: | প্রবন্ধ |
| ভাষা: | English |
| প্রকাশিত: |
IEEE
2024-01-01
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| মালা: | IEEE Access |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://ieeexplore.ieee.org/document/10720006/ |