A User-Friendly Fast and Accurate Simulation Framework for Non-Ideal Factors in Computing-in-Memory Architecture
Author:
Affiliation:
1. University of Science & Technology of China,Hefei,China
2. Institute of Microelectronics of the Chinese Academy of Sciences,Beijing,China
3. Tsinghua University,Beijing,China
Funder
National Key R&D Program
NSFC
Beijing Nova Program
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10181241/10181318/10182131.pdf?arnumber=10182131
Reference21 articles.
1. MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems
2. GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks
3. RRAM Defect Modeling and Failure Analysis Based on March Test and a Novel Squeeze-Search Scheme
4. STICKER-IM: A 65 nm Computing-in-Memory NN Processor Using Block-Wise Sparsity Optimization and Inter/Intra-Macro Data Reuse
5. Mixed‐Precision Continual Learning Based on Computational Resistance Random Access Memory
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