The University of Southampton
University of Southampton Institutional Repository

Scheduling and Mapping of Conditional Task Graph for the Synthesis of Low Power Embedded Systems

Scheduling and Mapping of Conditional Task Graph for the Synthesis of Low Power Embedded Systems
Scheduling and Mapping of Conditional Task Graph for the Synthesis of Low Power Embedded Systems
A dynamic voltage scaling (DVS) technique for embedded systems expressed as conditional task graphs (CTGs) is described. The idea is to identify and exploit the available worst case slack time, taking into account the conditional behaviour of CTGs. Also the effect of combining a genetic algorithm based mapping with the DVS technique is examined and it is shown that further energy reduction can be achieved. The techniques are tested on a number of CTGs including a real-life example. The results show that the DVS technique can be applied to CTGs with an energy saving of up to 24%. Furthermore, it is shown that savings of up to 51% are achieved by considering DVS during the mapping optimisation. Finally, the impact of communications and communication link selection on the scheduling and mapping technique is investigated and results are reported.
262-273
Wu, D.
325ef387-856f-49f6-bc2d-2ef44d7e6f82
Al-Hashimi, B. M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Eles, P.
2785f3c8-8df5-499f-9698-b3518e7dcda0
Wu, D.
325ef387-856f-49f6-bc2d-2ef44d7e6f82
Al-Hashimi, B. M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Eles, P.
2785f3c8-8df5-499f-9698-b3518e7dcda0

Wu, D., Al-Hashimi, B. M. and Eles, P. (2003) Scheduling and Mapping of Conditional Task Graph for the Synthesis of Low Power Embedded Systems. IEE Proceedings - Computers and Digital Techniques, 150 (5), 262-273.

Record type: Article

Abstract

A dynamic voltage scaling (DVS) technique for embedded systems expressed as conditional task graphs (CTGs) is described. The idea is to identify and exploit the available worst case slack time, taking into account the conditional behaviour of CTGs. Also the effect of combining a genetic algorithm based mapping with the DVS technique is examined and it is shown that further energy reduction can be achieved. The techniques are tested on a number of CTGs including a real-life example. The results show that the DVS technique can be applied to CTGs with an energy saving of up to 24%. Furthermore, it is shown that savings of up to 51% are achieved by considering DVS during the mapping optimisation. Finally, the impact of communications and communication link selection on the scheduling and mapping technique is investigated and results are reported.

Text
proof.pdf - Other
Restricted to Registered users only
Download (384kB)
Request a copy

More information

Published date: September 2003
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 258539
URI: http://eprints.soton.ac.uk/id/eprint/258539
PURE UUID: 49bf467f-fe66-4116-adf4-cc334bd26c7b

Catalogue record

Date deposited: 13 Nov 2003
Last modified: 14 Mar 2024 06:09

Export record

Contributors

Author: D. Wu
Author: B. M. Al-Hashimi
Author: P. Eles

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.

×