Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices-Reference-Cited by-同舟云学术

Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
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Author:

Li Yuke¹^ORCID,Baik Jiwon²^ORCID,Rahman Md Marufi³^ORCID,Anagnostopoulos Iraklis⁴^ORCID,Li Ruopu⁴^ORCID,Shu Tong⁵^ORCID

Affiliation:

1. University of California, Merced, United States of America

2. University of California, Santa Barbara, United States of America

3. University of North Texas, USA

4. Southern Illinois University, USA

5. University of North Texas, United States of America

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3624258

Reference42 articles.

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2. [ 2 ] 2023. https://www.nvidia.com/en-us/data-center/a100/ [2] 2023. https://www.nvidia.com/en-us/data-center/a100/

3. [ 3 ] 2023. https://www.nvidia.com/content/geforce-gtx/GEFORCE_RTX_2070_SUPER_User_Guide.pdf [3] 2023. https://www.nvidia.com/content/geforce-gtx/GEFORCE_RTX_2070_SUPER_User_Guide.pdf

4. Locating a facility to simultaneously address access and coverage goals

5. Jared L Cohon . 2004. Multiobjective Programming and Planning. Vol. 140 . Courier Corporation . Jared L Cohon. 2004. Multiobjective Programming and Planning. Vol. 140. Courier Corporation.

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