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One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search

Published: 06 June 2022 Publication History

Abstract

Convolutional neural networks (CNNs) are used in numerous realworld applications such as vision-based autonomous driving and video content analysis.

References

[1]
Lukasz Dudziak, Thomas Chau, Mohamed S. Abdelfattah, Royson Lee, Hyeji Kim, and Nicholas D. Lane. 2020. BRP-NAS: Prediction-based NAS using GCNs. In NeurIPS.
[2]
Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, and Yingyan Lin. 2021. HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. In ICLR. https://openreview.net/forum?id=_0kaDkv3dVf
[3]
Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, and Shaolei Ren. 2021. One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. Proc. ACM Meas. Anal. Comput. Syst., Vol. 5, 3, Article 34 (Dec 2021), 34 pages. https://doi.org/10.1145/3491046
[4]
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, and Song Han. 2020. APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. In CVPR.
[5]
Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, and Yunxin Liu. 2021. nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices. In MobiSys.

Cited By

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  • (2023)Generating Neural Networks for Diverse Networking Classification Tasks via Hardware-Aware Neural Architecture SearchIEEE Transactions on Computers10.1109/TC.2023.333325373:2(481-494)Online publication date: 20-Nov-2023
  • (2023)Neural architecture search for energy-efficient always-on audio machine learningNeural Computing and Applications10.1007/s00521-023-08345-y35:16(12133-12144)Online publication date: 20-Feb-2023

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  1. One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search

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      Published In

      cover image ACM Conferences
      SIGMETRICS/PERFORMANCE '22: Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems
      June 2022
      132 pages
      ISBN:9781450391412
      DOI:10.1145/3489048
      • cover image ACM SIGMETRICS Performance Evaluation Review
        ACM SIGMETRICS Performance Evaluation Review  Volume 50, Issue 1
        SIGMETRICS '22
        June 2022
        118 pages
        ISSN:0163-5999
        DOI:10.1145/3547353
        Issue’s Table of Contents
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 06 June 2022

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      Author Tags

      1. automl
      2. hardware-aware
      3. neural architecture search
      4. scalability

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      Overall Acceptance Rate 459 of 2,691 submissions, 17%

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      View all
      • (2023)Generating Neural Networks for Diverse Networking Classification Tasks via Hardware-Aware Neural Architecture SearchIEEE Transactions on Computers10.1109/TC.2023.333325373:2(481-494)Online publication date: 20-Nov-2023
      • (2023)Neural architecture search for energy-efficient always-on audio machine learningNeural Computing and Applications10.1007/s00521-023-08345-y35:16(12133-12144)Online publication date: 20-Feb-2023

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