Convex Energy Optimization of Streaming Applications for MPSoCs

Erwan Nogues; Alexandre Mercat; Florian Arrestier; Maxime Pelcat; Daniel Ménard

ICASSP 2019accepted0 citations

Convex Energy Optimization of Streaming Applications for MPSoCs

Erwan Nogues, Alexandre Mercat, Florian Arrestier, Maxime Pelcat, Daniel Ménard

Abstract

The energy efficiency of modern MPSoCs is enhanced by complex hardware features such as Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Management (DPM). This paper introduces a new method, based on convex problem solving, that determines the most energy efficient operating point in terms of frequency and number of active cores in an MPSoC. The solution can challenge the popular approaches based on never-idle (or As-Slow-As-Possible (ASAP)) and race-to-idle (or As-Fast-As-Possible (AFAP)) principles. Experimental data are reported using a Samsung Exynos 5410 MPSoC and show a reduction in energy of up to 27 % when compared to ASAP and AFAP.

BibTeX

@inproceedings{icassp2019_convexenergyopti,
  title = {Convex Energy Optimization of Streaming Applications for MPSoCs},
  author = {Erwan Nogues and Alexandre Mercat and Florian Arrestier and Maxime Pelcat and Daniel Ménard},
  booktitle = {ICASSP 2019},
  year = {2019}
}