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Energy-demand estimation of embedded devices using deep artificial neural networks., , and . SAC, page 617-624. ACM, (2019)Earl: energy-aware reconfigurable locks., , , , , and . SIGBED Rev., 17 (1): 24-29 (2020)Power and Energy-Aware Computing on Heterogeneous Systems (PEACHES) (Dagstuhl Seminar 22341)., , , , and . Dagstuhl Reports, 12 (8): 31-59 (2022)Honey, I Shrunk the ELFs: Lightweight Binary Tailoring of Shared Libraries., , , , and . ACM Trans. Embed. Comput. Syst., 18 (5s): 102:1-102:23 (2019)Migration-Based Synchronization., , , , and . SBESC, page 1-8. IEEE, (2021)Trusted Monitor: TEE-Based System Monitoring., , , , , and . SBESC, page 1-8. IEEE, (2022)What does Power Consumption Behavior of HPC Jobs Reveal? : Demystifying, Quantifying, and Predicting Power Consumption Characteristics., , , , , and . IPDPS, page 799-809. IEEE, (2020)Cocoon: Custom-Fitted Kernel Compiled on Demand., , , , , and . PLOS@SOSP, page 1-7. ACM, (2019)INTspect: Interrupt Latencies in the Linux Kernel., , , , , and . SBESC, page 83-90. IEEE, (2018)Bears: Building Energy-Aware Reconfigurable Systems., , , , and . SBESC, page 1-8. IEEE, (2022)