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Impact of memory frequency scaling on user-centric smartphone workloads.
Resource
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018, Pau, France, April 09-13, 2018
Pages
567-574
Issue Date
2018
Author(s)
Abstract
Improving battery life in mobile phones has become a top concern with the increase in memory and computing requirements of applications with tough quality-of-service needs. Many energy-efficient mobile solutions vary the CPU and GPU voltage/frequency to save power consumption. However, energy-aware control over the memory bus connecting the various on-chip subsystems has had much less interest. This measurement-based study first analyse the CPU, GPU and memory cost (i.e. product of utilisation and frequency) of user-centric smartphone workloads. The impact of memory frequency scaling on power consumption and quality-of-service is also measured. We also present a preliminary analysis into the frequency levels selected by the different default governors of the CPU/GPU/memory components. We show that an interdependency exists between the CPU and memory governors and that it may cause unnecessary increase in power consumption, due to interference with the CPU frequency governor. The observations made in this measurement-based study can also reveal some design insights to system designers. © 2018 ACM.
Author Keyword(s)
Memory frequency; Smartphone workload characterisation
SDGs
Other Keyword(s)
Cellular telephone systems; Electric power utilization; Energy efficiency; Governors; Quality of service; Smartphones; Battery life; Design insights; Energy efficient; Frequency-scaling; Measurement-based studies; Mobile solutions; Preliminary analysis; System designers; Dynamic frequency scaling