ATT: A Fault-Tolerant ReRAM Accelerator for Attention-based Neural Networks-Reference-Cited by-同舟云学术

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ATT: A Fault-Tolerant ReRAM Accelerator for Attention-based Neural Networks

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 38th International Conference on Computer Design (ICCD)
language:
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Author:

Guo Haoqiang,Peng Lu,Zhang Jian,Chen Qing,LeCompte Travis D

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9282809/9283502/09283554.pdf?arnumber=9283554

Cited by 5 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. Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

2. STAR: An Efficient Softmax Engine for Attention Model with RRAM Crossbar;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04

3. ODLPIM: A Write-Optimized and Long-Lifetime ReRAM-Based Accelerator for Online Deep Learning;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04

4. A Fast and Flexible FPGA-based Accelerator for Natural Language Processing Neural Networks;ACM Transactions on Architecture and Code Optimization;2023-02-10

5. Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications;ACM Transactions on Design Automation of Electronic Systems;2022-03-04

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