Computing-in-Memory with SRAM and RRAM for Binary Neural Networks-Reference-Cited by-同舟云学术

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Computing-in-Memory with SRAM and RRAM for Binary Neural Networks

Published:2018-10 Issue: Volume: Page:
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Container-title:2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT)
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Author:

Sun Xiaoyu,Liu Rui,Peng Xiaochen,Yu Shimeng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8540788/8564801/08565811.pdf?arnumber=8565811

Cited by 12 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. High‐throughput in‐memory bitwise computing based on a coupled dual‐SRAM array with independent operands;International Journal of Circuit Theory and Applications;2024-07-29

2. PVT-Insensitive Time-Domain-based In-Memory Computation with Improved Linearity for Binary Neural Networks;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

3. Self-Writing xnor Magnetic Random Access Memory for Binary Neural Network Acceleration;IEEE Transactions on Magnetics;2023-11

4. ECG Classification using Binary CNN on RRAM Crossbar with Nonidealities-Aware Training, Readout Compensation and CWT Preprocessing;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

5. Hardware–Software Co-design of Deep Neural Architectures: From FPGAs and ASICs to Computing-in-Memories;Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing;2023-10-10

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