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Robust and Accurate Fine-Grain Power Models for Embedded Systems With No On-Chip PMU., , , , , , and . IEEE Embed. Syst. Lett., 14 (3): 147-150 (2022)Robust and accurate fine-grain power models for embedded systems with no on-chip PMU., , , , , , and . CoRR, (2021)Analysis of Graph Processing in Reconfigurable Devices for Edge Computing Applications., , and . DSD, page 16-23. IEEE, (2022)A Comprehensive and Accurate Energy Model for Arm's Cortex-M0 Processor., , , and . CoRR, (2021)Run-Time Power Modelling in Embedded GPUs with Dynamic Voltage and Frequency Scaling., , , and . PARMA-DITAM@HiPEAC, page 2:1-2:6. ACM, (2020)High-Performance Simultaneous Multiprocessing for Heterogeneous System-on-Chip., , , , , and . CoRR, (2020)Evaluation of hybrid run-time power models for the ARM big.LITTLE architecture., , and . CoRR, (2020)Evaluation of Early-exit Strategies in Low-cost FPGA-based Binarized Neural Networks., , and . DSD, page 1-8. IEEE, (2022)Power modelling and analysis on heterogeneous embedded systems: a systematic approach.. University of Bristol, UK, (2018)British Library, EThOS.GR712RC LEON3 Power Model Data., , , , , and . (May 2022)