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Frequency-Aware ESL Power Estimation for ARM Cortex-A9 Using a Black Box Processor Model.

, , , , and . ACM Trans. Embed. Comput. Syst., 16 (1): 26:1-26:26 (2016)

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Frequency-Aware ESL Power Estimation for ARM Cortex-A9 Using a Black Box Processor Model., , , , and . ACM Trans. Embed. Comput. Syst., 16 (1): 26:1-26:26 (2016)Black box power estimation for digital signal processors using virtual platforms., , , , , , and . RAPIDO@HiPEAC, page 6:1-6:6. ACM, (2016)Black box ESL power estimation for loosely-timed TLM models., , , and . SAMOS, page 366-371. IEEE, (2016)ESL power estimation using virtual platforms with black box processor models., , , , and . SAMOS, page 354-359. IEEE, (2015)A compiler infrastructure for embedded heterogeneous MPSoCs., , , , , , and . Parallel Comput., 40 (2): 51-68 (2014)Improving ESL power models using switching activity information from timed functional models., , , , and . SCOPES, page 89-97. ACM, (2014)Creation of ESL power models for communication architectures using automatic calibration., , , , , , and . DAC, page 58:1-58:58. ACM, (2013)Automatic calibration of streaming applications for software mapping exploration., , , , and . SoC, page 136-142. IEEE, (2011)Automatic Calibration of Streaming Applications for Software Mapping Exploration., , , , and . IEEE Des. Test, 30 (3): 49-58 (2013)DVFS-enabled power-performance trade-off in MPSoC SW application mapping., , , , , , , , and . SAMOS, page 196-202. IEEE, (2017)