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 methods to achieve more accurate power consumption estimations, unlike existing power models. The proposed CPU power model shows estimation errors of 2.51% for ARM Cortex A-53 and 1.97% for Samsung M1 on average, and the proposed GPU power model shows an average error of 8.92% for the Mali-T880. In addition, we integrate proposed CPU and GPU models with the latest display power model into a holistic power model. Our holistic power model can estimate the smartphone′s total power consumption with an error of 6.36% on average while running nine 3D game benchmarks, improving the error rate by about 56% compared with the latest prior model.
Highlights
According to YouGov, a UK international market research firm, the most respondents answered “Longer battery life” to the question “Which one of the following features would you most like your current smartphone to have?” [1]
We propose new phase-based power models that can estimate the consumption of CPU and GPU accurately, which are the core components of a mobile power consumption of CPU and GPU accurately, which are the core components of a moapplication processor (AP), using the performance monitoring counter (PMC) at run-time
We combined them into several phases and built per-phase power models
Summary
According to YouGov, a UK international market research firm, the most respondents answered “Longer battery life” to the question “Which one of the following features would you most like your current smartphone to have?” [1]. Since the power consumption ratio of CPU+GPU over the total system power has increased from 57% to 85%, it is very important to analyze CPU and GPU power accurately for power management on smartphones. This is because bigger power consumption may give rise to more power estimation error
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