High-speed programming with threshold division for RRAM-based neural network accelerators
RRAM-based neural network accelerators offer significant improvements in energy efficiency and throughput for machine learning and artificial intelligence. However, it is challenging to transfer trained neural network weights to RRAM arrays precisely due to non-ideal characteristics such as read noi...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2024-12-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0243471 |
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