Performance Impacts of Analog ReRAM Non-ideality on Neuromorphic Computing
IEEE Transactions on Electron Devices, pp. 1289-1295, 2019.
NeuromorphicsSynapsesResistanceNeural networksMemory managementMore(1+)
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...More
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