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Performance Modeling of Computer Vision-based CNN on Edge GPUs., , , and . ACM Trans. Embed. Comput. Syst., 21 (5): 64:1-64:33 (September 2022)A Comprehensive Survey on Hardware-Aware Neural Architecture Search., , , , , and . CoRR, (2021)Multi-objective Hardware-aware Neural Architecture Search with Pareto Rank-preserving Surrogate Models., , , and . ACM Trans. Archit. Code Optim., 20 (2): 29:1-29:21 (June 2023)Co-Optimization of DNN and Hardware Configurations on Edge GPUs., , , , and . DSD, page 398-405. IEEE, (2022)Hierarchical Platform for Autonomous Driving., , , , and . INTESA, page 7-12. ACM, (2019)AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing., , , , , , , , , and 2 other author(s). EDGE, page 233-244. IEEE, (2023)Modélisation et simulation multi-agents pour la gestion des tâches entre véhicules et infrastructures dans le cadre de la ville intelligente (démonstration)., and . JFSMA, page 129-132. Cépaduès, (2022)Hardware-Aware Neural Architecture Search: Survey and Taxonomy., , , , , and . IJCAI, page 4322-4329. ijcai.org, (2021)A GPU enhanced LIDAR Perception System for Autonomous Vehicles., , , and . PDP, page 232-236. IEEE, (2020)Performance Prediction for Convolutional Neural Networks in Edge Devices., , , and . CoRR, (2020)