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Running Hardware-Aware Neural Architecture Search on Embedded Devices Under 512MB of RAM
This document proposes a novel approach to hardware-aware neural architecture search (HW NAS) that considers the resources available on the computing platform running it, enabling its execution on various embedded devices. The presented HW NAS produces tiny convolutional neural networks (CNNs) targeting low-end microcontroller units (MCUs), typically ...
Edoardo Ragusa +2 more
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Evolution of hardware-aware neural architecture search (NAS) on the edge
Real-Time Image Processing and Deep Learning 2023, 2023Blake Richey +3 more
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Facilitating hardware-aware neural architecture search with learning-based predictive models
Journal of Systems Architecture, 2023Xueying Wang 0003 +3 more
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Neural Architecture Search Survey: A Hardware Perspective
ACM Computing Surveys, 2023Arun Kumar Somani +1 more
exaly
Hardware-Aware Neural Architecture Search with Mixed-Precision Quantization
2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)Maman, Natalie, Schiele, Gregor
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HaeNAS: Hardware-Aware Efficient Neural Architecture Search via Zero-Cost Proxy
International Conferences on Software Engineering and Knowledge Engineering, 2023Yaodanjun Ren, Chen Chen, Zhengwei Qi
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One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
Performance Evaluation Review, 2022Shaolei Ren, Yiyu Shi
exaly
Supporting in-Sensor Computing with Hardware-Aware Neural Architecture Search
Mattia Garavagno, Andrea +4 moreopenaire +1 more source
Efficient Hardware-Aware Neural Architecture Search for Image Super-Resolution on Mobile Devices
2023Xindong Zhang +2 more
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