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

Somdip Dey, Samuel Isuwa, Suman Saha, Amit Kumar Singh and Klaus McDonald-Maier
Additional contact information
Somdip Dey: School of Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester CO4 3SQ, 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

Future Internet, 2022, vol. 14, issue 3, 1-14

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.

Keywords: CPU; GPU; RAM; memory; DVFS; power consumption; multi-processor system-on-chip; MPSoC; peak temperature; thermal behaviour (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/14/3/91/pdf (application/pdf)
https://www.mdpi.com/1999-5903/14/3/91/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:14:y:2022:i:3:p:91-:d:770928

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().