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Optimizing User Satisfaction of Mobile Workloads Subject to Various Sources of Uncertainties., , and . IEEE Trans. Mob. Comput., 18 (12): 2941-2953 (2019)Understanding the Future of Energy Efficiency in Multi-Module GPUs., , , and . HPCA, page 519-532. IEEE, (2019)Architectural Thermal Energy Harvesting Opportunities for Sustainable Computing.. IEEE Comput. Archit. Lett., 13 (2): 65-68 (2014)The Architectural Implications of Facebook's DNN-based Personalized Recommendation., , , , , , , , , and 5 other author(s). CoRR, (2019)AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning., and . MICRO, page 1082-1096. IEEE, (2020)Chasing Carbon: The Elusive Environmental Footprint of Computing., , , , , , , and . CoRR, (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)Adaptive timekeeping replacement: Fine-grained capacity management for shared CMP caches., and . ACM Trans. Archit. Code Optim., 8 (1): 3:1-3:26 (2011)Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference., , , , , , , , and . CoRR, (2023)