The University of Southampton
University of Southampton Institutional Repository

Low Power Process Assignment for Distributed Embedded Systems using Dynamic Voltage Scaling

Schmitz, Marcus T. and Al-Hashimi, Bashir M. (2000) Low Power Process Assignment for Distributed Embedded Systems using Dynamic Voltage Scaling At IEE Hardware-Software Co-Design. , 7/1-7/4.

Record type: Conference or Workshop Item (Other)

Abstract

This paper presents an efficient algorithm for voltage scaling of an distributed embedded system taking communicating processes into account. The algorithm finds scaled voltages for each processes without restricting the applicable voltage levels apriori. In addition the algorithm is not limited by a fixed power consumption among processes. Furthermore we show the importance of a process optimisation which is optimised for the dynamic voltage scaling (DVS) technique. Various examples from the literature and randomly generate show the efficiency of the proposed scaling algorithm and the DVS optimised process assignment.

PDF low_power.pdf - Other
Download (47kB)

More information

Published date: December 2000
Venue - Dates: IEE Hardware-Software Co-Design, 2000-12-01
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 254223
URI: http://eprints.soton.ac.uk/id/eprint/254223
PURE UUID: e15c4d72-2aa3-43e0-97f9-333f43487669

Catalogue record

Date deposited: 10 Dec 2000
Last modified: 18 Jul 2017 09:53

Export record

Contributors

Author: Marcus T. Schmitz

University divisions

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 http://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.

×