A Multi-Objective Optimization Genetic Algorithm for SOPC Hardware-Software Partitioning

Fu Yang; Liu Xin; Pei Yuan Guo

doi:10.4028/www.scientific.net/AMR.457-458.1142

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 457-458A Multi-Objective Optimization Genetic Algorithm...

A Multi-Objective Optimization Genetic Algorithm for SOPC Hardware-Software Partitioning

Abstract:

Hardware-software partitioning is the key technology in hardware-software co-design; the results will determine the design of system directly. Genetic algorithm is a classical search algorithm for solving such combinatorial optimization problem. A Multi-objective genetic algorithm for hardware-software partitioning is presented in this paper. This method can give consideration to both system performance and indicators such as time, power, area and cost, and achieve multi-objective optimization in system on programmable chip (SOPC). Simulation results show that the method can solve the SOPC hardware-software partitioning problem effectively.

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Periodical:

Advanced Materials Research (Volumes 457-458)

Pages:

1142-1148

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.457-458.1142

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Online since:

January 2012

Authors:

Fu Yang, Liu Xin, Pei Yuan Guo

Keywords:

Genetic Algorithm (GA), Hardware-Software Partitioning, Multi-Objective Optimization (MOP), SOPC

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References

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