Stralen, Peter vanPimentel, AndyMühl, GeroRichling, JanHerkersdorf, Andreas2019-10-302019-10-302012978-3-88579-294-9https://dl.gi.de/handle/20.500.12116/29510This paper presents a novel approach to efficiently perform early system level design space exploration (DSE) of MultiProcessor System-on-Chip (MPSoC) based embedded systems. By modeling dynamic multi-application workloads using application scenarios, optimal designs can be quickly identified using a combination of a scenario-based DSE and a feature selection algorithm. The feature selection algorithm identifies a representative subset of scenarios, which is used to predict the fitness of the MPSoC design instances in the genetic algorithm of the scenario-based DSE. Results show that our scenario-based DSE provides a tradeoff between the speed and accuracy of the early DSE.enText/Conference Paper1617-5468