2021
DOI: 10.3390/electronics10101197
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Phase-Based Accurate Power Modeling for Mobile Application Processors

Abstract: Modern mobile application processors are required to execute heavier workloads while the battery capacity is rarely increased. This trend leads to the need for a power model that can analyze the power consumed by CPU and GPU at run-time, which are the key components of the application processor in terms of power savings. We propose novel CPU and GPU power models based on the phases using performance monitoring counters for smartphones. Our phase-based power models employ combined per-phase power modeling metho… Show more

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Cited by 2 publications
(2 citation statements)
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“…(2) Unlike the existing smartphone low-power techniques, this paper proposes a technique that obtains power savings by considering the power consumption of smartphones in execution time. For execution time consumption prediction, the proposed low-power technique uses a power model [5] that predicts CPU and GPU power consumption in real time and a display power model [14] that predicts power consumption using display pixel size. The CPU and GPU power models quickly calculate power consumption within 50 ms through calculations using factors created through reinforcement learning through genetic algorithms.…”
Section: Phase Classificationmentioning
confidence: 99%
See 1 more Smart Citation
“…(2) Unlike the existing smartphone low-power techniques, this paper proposes a technique that obtains power savings by considering the power consumption of smartphones in execution time. For execution time consumption prediction, the proposed low-power technique uses a power model [5] that predicts CPU and GPU power consumption in real time and a display power model [14] that predicts power consumption using display pixel size. The CPU and GPU power models quickly calculate power consumption within 50 ms through calculations using factors created through reinforcement learning through genetic algorithms.…”
Section: Phase Classificationmentioning
confidence: 99%
“…In this paper, the component-specific power consumption ratio of the Galaxy S7, a smartphone to be used as a target, is 29%, 56%, 11%, and 4% for the central processing unit (CPU), graphics processing unit (GPU), display, and others, respectively [5]. The sum of the power consumption ratios of the CPU, GPU, and display components is 96%, accounting for most of the power consumption.…”
Section: Introductionmentioning
confidence: 98%