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Fast scenario-based design space exploration using feature selection (2012)
| Venue: | in Proc. of the Int. Workshop on Parallel Programming and Run-Time Management Techniques for Manycore Architectures (PARMA’12 |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{Stralen12fastscenario-based,
author = {Peter Van Stralen and Andy Pimentel},
title = {Fast scenario-based design space exploration using feature selection},
booktitle = {in Proc. of the Int. Workshop on Parallel Programming and Run-Time Management Techniques for Manycore Architectures (PARMA’12},
year = {2012}
}
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Abstract
Abstract: 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 algo-rithm 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. 1
Keyphrases
scenario-based dse scenario-based design space exploration feature selection feature selection algo-rithm identifies dynamic multi-application workload early dse genetic algorithm multiprocessor system-on-chip feature selection algorithm novel approach mpsoc design instance embedded system application scenario representative subset optimal design
