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CPU-GPU-Memory DVFS for Power-Efficient MPSoC in Mobile Cyber Physical Systems

Dey, Somdip ORCID: https://orcid.org/0000-0001-6161-4637, Isuwa, Samuel, Saha, Suman, Singh, Amit Kumar and McDonald-Maier, Klaus ORCID: https://orcid.org/0000-0002-6412-8519 (2022) CPU-GPU-Memory DVFS for Power-Efficient MPSoC in Mobile Cyber Physical Systems. Future Internet, 14 (3). p. 91.

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Most modern mobile cyber-physical systems such as smartphones come equipped with multi-processor systems-on-chip (MPSoCs) with variant computing capacity both to cater to performance requirements and reduce power consumption when executing an application. In this paper, we propose a novel approach to dynamic voltage and frequency scaling (DVFS) on CPU, GPU and RAM in a mobile MPSoC, which caters to the performance requirements of the executing application while consuming low power. We evaluate our methodology on a real hardware platform, Odroid XU4, and the experimental results prove the approach to be 26% more power-efficient and 21% more thermal-efficient compared to the state-of-the-art system.

Item Type: Article
Status: Published
DOI: https://doi.org/10.3390/fi14030091
School/Department: School of Science, Technology and Health
URI: https://ray.yorksj.ac.uk/id/eprint/8673

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