Performance Analysis of OFA-NAS ResNet Topologies Across Diverse Hardware Compute Units
Author:
Affiliation:
1. IIIT-Bangalore, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3649476.3658811
Reference29 articles.
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3. Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang and Song Han. 2019. Once-for-All: Train One Network and Specialize it for Efficient Deployment. https://doi.org/10.48550/ARXIV.1908.09791
4. Han Cai Ligeng Zhu and Song Han. 2018. ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://doi.org/10.48550/ARXIV.1812.00332
5. Lile Cai Anne-Maelle Barneche Arthur Herbout Chuan Sheng Foo Jie Lin Vijay Ramaseshan Chandrasekhar and Mohamed M. Sabry. 2018. TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. https://doi.org/10.48550/ARXIV.1811.12065
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