Multi-Objective Genetic optimized multiprocessor SoC design | IEEE Conference Publication | IEEE Xplore

Multi-Objective Genetic optimized multiprocessor SoC design


Abstract:

In this paper, we introduce a new multi-objective genetic algorithm (MOGA) for mapping a given set of intellectual property onto a network-on-chip architecture such that ...Show More

Abstract:

In this paper, we introduce a new multi-objective genetic algorithm (MOGA) for mapping a given set of intellectual property onto a network-on-chip architecture such that for a specific application total communication cost and energy consumption become optimized while bandwidth constraints are satisfied. As the main theoretical contribution, we first introduce a generic queuing model to estimate performance and an experimental energy consumption model during the design phase, with acceptable accuracy. Then, an efficient genetic algorithm employs these models to propose a Pareto optimal front for an application and an arbitrary topology. Experimental results show that the proposed algorithm is very fast which results in a new approach for mapping MPSoC cores on chip.
Date of Conference: 05-06 November 2008
Date Added to IEEE Xplore: 08 December 2008
ISBN Information:
Conference Location: Tampere, Finland

References

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