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Co-Optimization of DNN and Hardware Configurations on Edge GPUs., , , , and . DSD, page 398-405. IEEE, (2022)Performance Modeling of Computer Vision-based CNN on Edge GPUs., , , and . ACM Trans. Embed. Comput. Syst., 21 (5): 64:1-64:33 (September 2022)Performance Prediction for Convolutional Neural Networks in Edge Devices., , , and . CoRR, (2020)Evolutionary-Based Co-optimization of DNN and Hardware Configurations on Edge GPU., , , , and . OLA, volume 1684 of Communications in Computer and Information Science, page 3-12. Springer, (2022)HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling., , , , and . DATE, page 1-6. IEEE, (2023)Performance prediction for convolutional neural networks on edge GPUs., , , and . CF, page 54-62. ACM, (2021)Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices., , , and . ACML, volume 222 of Proceedings of Machine Learning Research, page 374-389. PMLR, (2023)Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing., , , , and . CoRR, (2023)HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling., , , , and . CoRR, (2022)SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search., , , and . CoRR, (2024)