The University of Southampton
University of Southampton Institutional Repository

Iterative schedule optimisation for voltage scalable distributed embedded systems

Schmitz, Marcus T, Al-Hashimi, Bashir M and Eles, Petru (2004) Iterative schedule optimisation for voltage scalable distributed embedded systems ACM Transactions on Embedded Computing Systems, 3, (1), pp. 1-36.

Record type: Article

Abstract

We present an iterative schedule optimisation for multi-rate system specifications, mapped onto heterogeneous distributed architectures containing DVS processing elements. To achieve high degree of energy reduction, we formulate a generalised DVS problem taking into account the power variations among the executing tasks. We investigate and analyse the possibility energy reduction at both steps of the co-synthesis (voltage scaling and scheduling). Extensive experiments indicate the presented work produces solutions with high quality.

PDF TECS-2003-0084.pdf - Other
Download (470kB)

More information

Published date: February 2004
Keywords: CAD, low power emdedded system design, energy minimisation
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 258336
URI: http://eprints.soton.ac.uk/id/eprint/258336
PURE UUID: f8accc0e-7c16-4477-af70-ae57808cde7d

Catalogue record

Date deposited: 08 Jan 2004
Last modified: 24 Jul 2017 16:41

Export record

Contributors

Author: Marcus T Schmitz
Author: Petru Eles

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.

×