Multi-Objective Design Space Exploration of Embedded System Platforms

Jan Madsen, Thomas K. Stidsen, Peter Kjaerulf, Shankar Mahadevan

AbstractIn this paper we present a multi-objective genetic algorithm to solve the problem of mapping a set of task graphs onto a heterogeneous multiprocessor platform. The objective is to meet all real-time deadlines subject to minimizing system cost and power consumption, while staying within bounds on local memory sizes and interface buffer sizes. Our approach allows for mapping onto a fixed platform or onto a flexible platform where architectural changes are explored during the mapping.
We demonstrate our approach through an exploration of a smart phone, where five task graphs with a total of 530 tasks after hyper period extension are mapped onto a multiprocessor platform. The results show four non-inferior solutions which tradeoffs the various objectives.
TypeBook [Chapter]
Book titleFrom Model-Driven Design to Resource Management for Distributed Embedded Systems
Year2007    pp. 185-194
PublisherSpringer
SeriesIFIP International Federation for Information Processing
ISBN / ISSN1571-5736
BibTeX data [bibtex]
IMM Group(s)Computer Science & Engineering