Efficient and Optimized Methods for Alleviating the Impacts of IR-Drop and Fault in RRAM Based Neural Computing Systems
Resistive switching random access memory (RRAM) shows its potential to be a promising candidate as the basic in-memory computing unit for deep neural networks (DNN) accelerator design due to its non-volatile, low power, and small footprint properties. The RRAM based crossbar array (RRAM CBA) is usua...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Journal of the Electron Devices Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9466937/ |