On learning the energy model of an MPSoC for convex optimization

E. Nogues; Daniel Ménard; A. Mercat; M. Pelcat

On learning the energy model of an MPSoC for convex optimization

E. Nogues ¹ Daniel Ménard ¹ A. Mercat ¹ M. Pelcat ²

1 IETR - Institut d'Electronique et de Télécommunications de Rennes

2 IP - Institut Pascal - Clermont Auvergne

Abstract : The energy efficiency of a Multiprocessor SoC (MPSoC) is enhanced by complex hardware features such as Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Management (DPM). This paper proposes a methodology to learn an energy model from real power measurements. From this energy model, a convex optimization framework can determine the optimal energy efficient operating point in terms of frequency and number of active cores in an MPSoC. Experimental data are reported using a Samsung Exynos 5410 MPSoC. They show that a precise yet relatively simple model can be derived. © 2017 ACM.

Keywords : Convex optimization Energy consumption Multi-core platform

Document type :

Conference papers

Domain :

Computer Science [cs] / Networking and Internet Architecture [cs.NI]

Engineering Sciences [physics] / Electronics

Complete list of metadatas

https://hal-univ-rennes1.archives-ouvertes.fr/hal-01622480
Contributor : Laurent Jonchère <>
Submitted on : Tuesday, October 24, 2017 - 2:12:26 PM
Last modification on : Monday, February 11, 2019 - 2:19:57 PM

On learning the energy model of an MPSoC for convex optimization

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On learning the energy model of an MPSoC for convex optimization

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