STRIPE: Signal Selection for Runtime Power Estimation
File(s)
Accepted version
Author(s)
Type
Conference Paper
Abstract
Knowledge of power consumption at a subsystem level can facilitate adaptive energy-saving techniques such as power gating, runtime task mapping and dynamic voltage and/or frequency scaling. While we have the ability to attribute power to an arbitrary hardware system's modules in real time, the selection of the particular signals to monitor for the purpose of power estimation within any given module has yet to be treated as a primary concern. In this paper, we show how the automatic analysis of circuit structure and behaviour inferred through vectored simulation can be used to produce high-quality rankings of signals' importance, with the resulting selections able to achieve lower power estimation error than those of prior work coupled with decreases in area, power and modelling complexity. In particular, by monitoring just eight signals per module (~0.3% of the total) across the 15 we examined, we demonstrate how to achieve runtime module-level estimation errors 1.5--6.9x lower than when reliant on the signal selections made in accordance with a more straightforward, previously published metric.
Date Issued
2017-10-05
Date Acceptance
2017-06-21
Citation
International Confererence on Field-programmable Logic and Applications (FPL) 2017, 2017
ISBN
978-9-0903-0428-1
Publisher
IEEE
Journal / Book Title
International Confererence on Field-programmable Logic and Applications (FPL) 2017
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Royal Academy Of Engineering
Imagination Technologies Ltd
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Identifier
http://cas.ee.ic.ac.uk/people/gac1/pubs/JamesFPL17.pdf
Grant Number
Prof Constantinides Chair
Prof Constantinides Chair
11908 (EP/K034448/1)
EP/I020357/1
EP/I012036/1
Source
International Confererence on Field-programmable Logic and Applications (FPL) 2017
Subjects
Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Software Engineering
Computer Science
FPGAS
Publication Status
Published
Start Date
2017-09-04
Finish Date
2017-09-08
Coverage Spatial
Ghent, Belgium
Date Publish Online
2017-10-05