The University of Southampton
University of Southampton Institutional Repository

Overhead-Conscious Voltage Selection for Dynamic and Leakage Power Reduction of Time-Constraint Systems

Overhead-Conscious Voltage Selection for Dynamic and Leakage Power Reduction of Time-Constraint Systems
Overhead-Conscious Voltage Selection for Dynamic and Leakage Power Reduction of Time-Constraint Systems
Dynamic voltage scaling and adaptive body biasing have been shown to reduce dynamic and leakage power consumption effectively. In this paper, we optimally solve the combined supply voltage and body bias selection problem for multi-processor systems with imposed time constraints, explicitly taking into account the transition overheads implied by changing voltage levels. Both energy and time overheads are considered. We investigate the continuous voltage scaling as well as its discrete counterpart, and we prove NP-hardness in the discrete case. Furthermore, the continuous voltage scaling problem is formulated and solved using nonlinear programming with polynomial time complexity, while for the discrete problem we use mixed integer linear programming. Extensive experiments, conducted on several benchmarks and a real-life example, are used to validate the approaches.
518-523
Andrei, Alexandru
2cac74bb-156b-420f-b3d8-6dc93e6cd2f7
Schmitz, Marcus T
824cce4a-6528-4bd1-8357-3cfa637d20f1
Eles, Petru
ff663918-4c91-4774-a196-06d87393323f
Peng, Zebo
c0500005-3976-42df-974f-581eb1d39589
Al-Hashimi, Bashir M
0b29c671-a6d2-459c-af68-c4614dce3b5d
Andrei, Alexandru
2cac74bb-156b-420f-b3d8-6dc93e6cd2f7
Schmitz, Marcus T
824cce4a-6528-4bd1-8357-3cfa637d20f1
Eles, Petru
ff663918-4c91-4774-a196-06d87393323f
Peng, Zebo
c0500005-3976-42df-974f-581eb1d39589
Al-Hashimi, Bashir M
0b29c671-a6d2-459c-af68-c4614dce3b5d

Andrei, Alexandru, Schmitz, Marcus T, Eles, Petru, Peng, Zebo and Al-Hashimi, Bashir M (2004) Overhead-Conscious Voltage Selection for Dynamic and Leakage Power Reduction of Time-Constraint Systems. Design, Automation and Test Europe Conference (DATE2004), France. pp. 518-523 .

Record type: Conference or Workshop Item (Paper)

Abstract

Dynamic voltage scaling and adaptive body biasing have been shown to reduce dynamic and leakage power consumption effectively. In this paper, we optimally solve the combined supply voltage and body bias selection problem for multi-processor systems with imposed time constraints, explicitly taking into account the transition overheads implied by changing voltage levels. Both energy and time overheads are considered. We investigate the continuous voltage scaling as well as its discrete counterpart, and we prove NP-hardness in the discrete case. Furthermore, the continuous voltage scaling problem is formulated and solved using nonlinear programming with polynomial time complexity, while for the discrete problem we use mixed integer linear programming. Extensive experiments, conducted on several benchmarks and a real-life example, are used to validate the approaches.

Text
526andrei.pdf - Other
Download (314kB)

More information

Published date: 2004
Additional Information: Event Dates: Feb 2004
Venue - Dates: Design, Automation and Test Europe Conference (DATE2004), France, 2004-02-01
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 260138
URI: https://eprints.soton.ac.uk/id/eprint/260138
PURE UUID: 7abb0c5b-d0bc-43ce-b543-0c0095caa393

Catalogue record

Date deposited: 23 Nov 2004
Last modified: 04 Dec 2017 17:32

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×