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

摘要：

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.

关键词： genetic algorithm hardware-software partitioning multi-objective optimization SOPC

作者: Liu Xin Fu Yang Guo Peiyuan

作者单位: The College of Computer and Information EngineeringBeijing Technology and Business UniversityBeijing The College of Computer and Information Engineering Beijing Technology and Business University Beiji

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 460-463

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）