Impact of Memory Frequency Scaling on User-centric Smartphone Workloads

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Full text download(s)

Author(s)

Department/unit(s)

Publication details

Title of host publicationProceedings of the 33rd ACM/SIGAPP Symposium on Applied Computing (SAC 2018)
DateAccepted/In press - 18 Nov 2017
DatePublished (current) - 2018
Original languageEnglish

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.

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations