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Multi-Objective Design Space Exploration of Embedded System Platforms
[chapter]
From Model-Driven Design to Resource Management for Distributed Embedded Systems
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
doi:10.1007/978-0-387-39362-9_20
dblp:conf/ifip10-3/MadsenSKM06
fatcat:yclqo5sghnfg3lqdwr37gdvu6y