Multi-Objective Design Space Exploration of Embedded System Platforms |
Jan Madsen, Thomas K. Stidsen, Peter Kjaerulf, Shankar Mahadevan
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Abstract | In 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. |
Type | Book [Chapter] |
Book title | From Model-Driven Design to Resource Management for Distributed Embedded Systems |
Year | 2007 pp. 185-194 |
Publisher | Springer |
Series | IFIP International Federation for Information Processing |
ISBN / ISSN | 1571-5736 |
BibTeX data | [bibtex] |
IMM Group(s) | Computer Science & Engineering |