Performance Evaluation of MindSpore and PyTorch Based on Ascend NPU-Reference-Cited by-同舟云学术

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Performance Evaluation of MindSpore and PyTorch Based on Ascend NPU

Published:2023-12-17 Issue: Volume:1 Page:1826-1832
ISSN:
Container-title:2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
language:
Short-container-title:

Author:

Zhu Zeling¹,Wang Bangchuan²,Yang Chuying²,Zhu Rui³,Zhou Mingyao⁴,Zheng Nenggan³

Affiliation:

1. Ocean University of China,School of Computer Science and Technology,Qingdao,China

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

3. Zhejiang University,Qiushi Academy for Advanced Studies,Hangzhou,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/ielx7/10475889/10475881/10476090.pdf?arnumber=10476090

Reference42 articles.

1. ImageNet classification with deep convolutional neural networks

2. Going deeper with convolutions

3. Deep Residual Learning for Image Recognition

4. Strategies for training large scale neural network language models

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