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Caffe: An Open Source Convolutional Architecture for Fast Feature Embedding. (2013)One-Shot Adaptation of Supervised Deep Convolutional Models., , , , , and . ICLR (Workshop Poster), (2014)TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, , , , , , , , , and 30 other author(s). (2015)Software available from tensorflow.org.Machine Learning at Facebook: Understanding Inference at the Edge., , , , , , , , , and 16 other author(s). HPCA, page 331-344. IEEE, (2019)Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications., , , , , , , , , and 18 other author(s). CoRR, (2018)ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation., , , , , , , , , and 3 other author(s). CoRR, (2018)Characterizing Deep Learning Training Workloads on Alibaba-PAI., , , , , , and . IISWC, page 189-202. IEEE, (2019)FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search., , , , , , , , , and . CoRR, (2018)Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters., , , , , , , , , and 4 other author(s). Proc. VLDB Endow., 14 (12): 2972-2985 (2021)AntMan: Dynamic Scaling on GPU Clusters for Deep Learning., , , , , , , , and . OSDI, page 533-548. USENIX Association, (2020)