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Understanding the Future of Energy Efficiency in Multi-Module GPUs., , , and . HPCA, page 519-532. IEEE, (2019)Chasing Carbon: The Elusive Environmental Footprint of Computing., , , , , , , and . CoRR, (2020)AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning., and . MICRO, page 1082-1096. IEEE, (2020)Understanding Capacity-Driven Scale-Out Neural Recommendation Inference., , , , , , and . CoRR, (2020)Exploiting Parallelism Opportunities with Deep Learning Frameworks., , , , and . ACM Trans. Archit. Code Optim., 18 (1): 9:1-9:23 (2021)A study of mobile device utilization., , , , , and . ISPASS, page 225-234. IEEE Computer Society, (2015)Characterization and dynamic mitigation of intra-application cache interference., and . ISPASS, page 2-11. IEEE Computer Society, (2011)Quantitative Analysis of Control Flow Checking Mechanisms for Soft Errors., , , and . DAC, page 13:1-13:6. ACM, (2014)Optimizing User Satisfaction of Mobile Workloads Subject to Various Sources of Uncertainties., , and . IEEE Trans. Mob. Comput., 18 (12): 2941-2953 (2019)Characterization and Throttling-Based Mitigation of Memory Interference for Heterogeneous Smartphones., , and . IISWC, page 22-33. IEEE Computer Society, (2015)