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Performance Impacts of Analog ReRAM Non-ideality on Neuromorphic Computing

IEEE Transactions on Electron Devices, no. 3 (2019): 1289-1295

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Resistive random access memory (ReRAM) is often considered as a strong candidate for storing the weights in non-von Neumann neuromorphic computing systems. This paper studies how nonideal memory characteristics, which include programing error, read fluctuation, and retention, affect the inference accuracy of the analog ReRAM neural networ...更多

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Chao-Hung Wang
Chao-Hung Wang
Feng-Min Lee
Feng-Min Lee
Keh-Chung Wang
Keh-Chung Wang
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