DNN+NeuroSim: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators with Versatile Device Technologies-Reference-Cited by-同舟云学术

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DNN+NeuroSim: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators with Versatile Device Technologies

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Electron Devices Meeting (IEDM)
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Author:

Peng Xiaochen,Huang Shanshi,Luo Yandong,Sun Xiaoyu,Yu Shimeng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8971803/8993428/08993491.pdf?arnumber=8993491

Cited by 139 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

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2. Capacitive Synaptor with Gate Surrounding Semiconductor Pillar Structure and Overturned Charge Injection for Compute‐in‐Memory;Advanced Intelligent Systems;2024-08-22

3. TEFLON: Thermally Efficient Dataflow-aware 3D NoC for Accelerating CNN Inferencing on Manycore PIM Architectures;ACM Transactions on Embedded Computing Systems;2024-08-14

4. Compute-in-Memory-Based Neural Network Accelerators for Safety-Critical Systems: Worst-Case Scenarios and Protections;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-08

5. Hardware design and the fairness of a neural network;Nature Electronics;2024-07-25

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