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nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices., , , , , , and . MobiSys, page 81-93. ACM, (2021)Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters., , , , , , , , and . CoRR, (2020)Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction., , , , , , , , , and 1 other author(s). SC, page 15. ACM, (2021)Online Video Streaming Super-Resolution with Adaptive Look-Up Table Fusion., , , , , , , , , and 2 other author(s). CoRR, (2023)Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision., , , , , , , , and . CoRR, (2021)SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation., , , , , , , , , and . CoRR, (2023)nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices., , , , , and . GetMobile Mob. Comput. Commun., 25 (4): 19-23 (2021)Online Video Super-Resolution with Convolutional Kernel Bypass Graft., , , , , , , and . CoRR, (2022)SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference., , , , , , , , and . ICCV, page 5796-5805. IEEE, (2023)Optimizing Dynamic Neural Networks with Brainstorm., , , , , , , , , and 4 other author(s). OSDI, page 797-815. USENIX Association, (2023)