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

Author

Listed:
  • Somdip Dey

    (School of Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester CO4 3SQ, UK
    Nosh Technologies, Colchester CO4 3SL, UK)

  • Samuel Isuwa

    (School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK)

  • Suman Saha

    (Nosh Technologies, Colchester CO4 3SL, UK)

  • Amit Kumar Singh

    (School of Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester CO4 3SQ, UK)

  • Klaus McDonald-Maier

    (School of Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester CO4 3SQ, UK)

Abstract

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.

Suggested Citation

  • Somdip Dey & Samuel Isuwa & Suman Saha & Amit Kumar Singh & Klaus McDonald-Maier, 2022. "CPU-GPU-Memory DVFS for Power-Efficient MPSoC in Mobile Cyber Physical Systems," Future Internet, MDPI, vol. 14(3), pages 1-14, March.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:3:p:91-:d:770928
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