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: Fu Yang Liu Xin Guo Peiyuan

作者单位: The College of Computer and Information Engineering,Beijing Technology and Business University, Beij Corresponding author, the College of Computer and Information Engineering,Beijing Technology and Bus The College of Computer and Information Engineering, Beijing Technology and Business University, Bei

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 1142-1148

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）