Go Unary: A Novel Synapse Coding and Mapping Scheme for Reliable ReRAM-based Neuromorphic Computing

Author:

Ma Chang,Sun Yanan,Qian Weikang,Meng Ziqi,Yang Rui,Jiang Li

Publisher

IEEE

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of Conductance Variability in RRAM for Accurate Neuromorphic Computing;2024 IEEE 25th Latin American Test Symposium (LATS);2024-04-09

2. Characterization of ReRAM Arrays Operating in the Pre-formed Range to Design Reliable PUFs;Lecture Notes in Networks and Systems;2024

3. End-to-End Benchmarking of Chiplet-Based In-Memory Computing;Neuromorphic Computing;2023-11-15

4. VECOM: Variation-Resilient Encoding and Offset Compensation Schemes for Reliable ReRAM-Based DNN Accelerator;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

5. A Novel and Efficient Block-Based Programming for ReRAM-Based Neuromorphic Computing;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

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