Analysis of Performance and Optimization in MindSpore on Ascend NPUs-Reference-Cited by-同舟云学术

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Analysis of Performance and Optimization in MindSpore on Ascend NPUs

Published:2023-12-17 Issue: Volume:1 Page:1701-1708
ISSN:
Container-title:2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
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Author:

Wang Bangchuan¹,Yang Chuying¹,Zhu Rui²,Liu Xiao³,Zhou Mingyao⁴,Zheng Nenggan²

Affiliation:

1. Zhejiang University,Qiushi Academy for Advanced Studies, School of Software Technology,Hangzhou,China

2. Zhejiang University,Qiushi Academy for Advanced Studies,Hangzhou,China

3. Beijing Huawei Digital Technology Co., Ltd.,Beijing,China

4. Hangzhou Huawei Communication Technology Co., Ltd.,Hangzhou,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475889/10475881/10475950.pdf?arnumber=10475950

Reference45 articles.

1. ImageNet classification with deep convolutional neural networks

2. Very deep convolutional networks for large-scale image recognition;Simonyan

3. Going deeper with convolutions

4. Deep Residual Learning for Image Recognition

5. Efficient Estimation of Word Representations in Vector Space;Mikolov

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