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APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA., , , , , , and . FPGA, page 146-147. ACM, (2021)Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing., , , , and . ISQED, page 261-267. IEEE, (2020)Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning., , , , , and . IPDPS Workshops, page 288-297. IEEE, (2021)Output-Directed Dynamic Quantization for DNN Acceleration., , , , , , , and . ICPP, page 645-654. ACM, (2023)MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications., , , , , , , and . IPDPS, page 1184-1194. IEEE, (2022)AMOEBA: A Coarse Grained Reconfigurable Architecture for Dynamic GPU Scaling., , , , and . CoRR, (2019)Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing., , , , and . CoRR, (2019)A Low-Cost and Energy-Efficient NoC Architecture for GPGPUs., , , , , and . ANCS, page 1-12. IEEE, (2019)AMOEBA: a coarse grained reconfigurable architecture for dynamic GPU scaling., , , , and . ICS, page 17:1-17:13. ACM, (2020)