Work-in-Progress: Toward Energy-efficient Near STT-MRAM Processing Architecture for Neural Networks-Reference-Cited by-同舟云学术

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Work-in-Progress: Toward Energy-efficient Near STT-MRAM Processing Architecture for Neural Networks

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)
language:
Short-container-title:

Author:

Li Yueting¹,Zhao Bingluo¹,Xu Xinyi¹,Zhang Yundong²,Wang Jun¹,Zhao Weisheng¹

Affiliation:

1. Beihang University

2. Vimicro Corporation

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9942814/9943056/09943184.pdf?arnumber=9943184

Reference6 articles.

1. Towards E?cient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures;giannoula;SIGMET-RICS/Performance,2022

2. Nanoscale domain wall devices with magnetic tunnel junction read and write

3. DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs

4. Swallow: A Versatile Accelerator for Sparse Neural Networks

5. Spintronics for Energy-E?cient Computing: An Overview and Outlook;zongxia;Proceedings of the IEEE,2021

Cited by 1 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. Toward Energy-efficient STT-MRAM-based Near Memory Computing Architecture for Embedded Systems;ACM Transactions on Embedded Computing Systems;2024-04-25

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