Accurate Inference With Inaccurate RRAM Devices: A Joint Algorithm-Design Solution
Resistive random access memory (RRAM) is a promising technology for energy-efficient neuromorphic accelerators. However, when a pretrained deep neural network (DNN) model is programmed to an RRAM array for inference, the model suffers from accuracy degradation due to RRAM nonidealities, such as devi...
Main Authors: | Gouranga Charan, Abinash Mohanty, Xiaocong Du, Gokul Krishnan, Rajiv V. Joshi, Yu Cao |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Journal on Exploratory Solid-State Computational Devices and Circuits |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9069242/ |
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