Fast Scenario-Based Design Space Exploration using Feature Selection

: 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.

• Type: Journal
• Year: 2012
• Where: ARCS
• Authors: Peter van Stralen, Andy D. Pimentel
• Keywords: Application Scenarios, ARCS 2012, Design Space Exploration, Selection Algorithm, Software Engineering