DL-RSIM: A Simulation Framework to Enable Reliable ReRAM-based Accelerators for Deep Learning
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 106 === Memristor-based deep learning accelerators provide a promising solution to improve the energy efficiency of neuromorphic computing systems. How- ever, the electrical properties and crossbar structure of memristors make them sensitive to errors. To enable reliab...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/597793 |