Mapping of CNNs on multi-core RRAM-based CIM architectures-Reference-Cited by-同舟云学术

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Mapping of CNNs on multi-core RRAM-based CIM architectures

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC)
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Author:

Pelke Rebecca¹,Bosbach Nils¹,Cubero Jose¹,Staudigl Felix¹,Leupers Rainer¹,Joseph Jan Moritz¹

Affiliation:

1. RWTH Aachen University,Germany

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10321814/10321836/10321873.pdf?arnumber=10321873

Reference25 articles.

1. VWC-SDK: Convolutional Weight Mapping Using Shifted and Duplicated Kernel With Variable Windows and Channels

2. Vw-sdk: efficient convolutional weight mapping using variable windows for processing-in-memory architectures;rhe;DATE,2022

3. X-changr: Changing memristive crossbar mapping for mitigating line-resistance induced accuracy degradation in deep neural networks;agrawal,2019

4. NAX

5. Efficient and robust rram-based convolutional weight mapping with shifted and duplicated kernel;zhang;IEEE TCAD,2020

Cited by 2 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. A Calibratable Model for Fast Energy Estimation of MVM Operations on RRAM Crossbars;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22

2. CLSA-CIM: A Cross-Layer Scheduling Approach for Computing-in-Memory Architectures;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

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