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Fast scenario-based design space exploration using feature selection

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2 Author(s)
van Stralen, P. ; Insititute. for Inf., Univ. of Amsterdam, Amsterdam, Netherlands ; Pimentel, A.

This 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.

Published in:

ARCS Workshops (ARCS), 2012

Date of Conference:

28-29 Feb. 2012